Gerontechnology acceptance by elderly Hong Kong Chinese: a senior technology acceptance model (STAM)

Digitalization and the Social Lives of Older Adults: Protocol for a Microlongitudinal Study

BACKGROUND

Digital technologies are increasingly pervading our daily lives. Although older adults started using digital technologies later than other age groups, they are increasingly adopting these technologies, especially with the goal of communicating with others. However, less is known about how online social activities are embedded in older adults' daily lives, how they complement other (offline) social activities, and how they contribute to social connectedness and well-being.

OBJECTIVE

Data generated by this project will allow us to understand how older adults use digital communication in their daily lives to communicate with others, how this relates to well-being and social connectedness, and how communication using digital technologies differs from other types of communication depending on situational and individual characteristics.

METHODS

Microlongitudinal data were collected from 120 older adults from German-speaking regions of Switzerland to examine these questions. Data collection took place from April 2019 to October 2019. Data collection took place over different time scales, including event-based (reporting all social interactions for 21 days), daily (well-being, loneliness, and technology use every evening for 21 days), hourly (cortisol assessments 6 times per day for 3 days), and baseline (relevant interindividual characteristics, including sociodemographics, health, technology use, personality, and cognitive performance) assessments.

RESULTS

Data collection for this study was completed in November 2019. Participants reported an average of 96.35 interactions across the 21 days. Among the total 11,453 interactions, 5494 (47.97%) were face-to-face, and around 16% each were interactions by phone (1858, 16.16%), email (1858, 16.22%), and text message (1853, 16.18%). Otherwise, 246 (2.15%) of the interactions took place on social media, 96 (0.84)% were letters, and 54 (0.47%) of the interactions took place on videochat.

CONCLUSIONS

Participants used a variety of modalities in their daily communication, including digital means such as text messages, email, and video calls. Further analysis will provide more detail as to the role that communication via digital media plays in older adults' daily lives.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR1-10.2196/20306.

Older adults' perceptions of contexts surrounding their social participation in a digitalized society-an exploration in rural communities in Northern Sweden

Social participation and digital engagement can contribute to health and well-being among older adults. Because of older adults' decline in abilities, coupled with complex technology and its perceived insufficient relevance to daily life, there is a need to create and tailor social opportunities and services that are supported by digital technologies for older adults to continue participating in society. Thus, it becomes relevant to explore older adults' perceptions about contexts surrounding their social participation in a digital society. This exploration used a qualitative research design with focus group interviews and qualitative content analysis. Eighteen older adults, aged 66-81 years, from rural communities in Northern Sweden, participated in this study. The analysis resulted in three categories: experiencing conditions for social participation in a state of flux, perceiving drawbacks of urbanization on social participation, and welcoming digital technology that facilitates daily and community living. These categories were encapsulated in the theme-the juxtaposition of narrowing offline social networks and expanding digital opportunities for social participation. The findings suggested that co-creating usable digitalized services and facilitating satisfactory use of digital technologies could support older adults' social participation through activities that they find relevant in their lives, and subsequently, might enable them to live longer at home.

Intention to use Medical Apps Among Older Adults in the Netherlands: Cross-Sectional Study

Background

The increasing health service demand driven by the aging of the global population calls for the development of modes of health service delivery that are less human resource–intensive. Electronic health (eHealth) and medical apps are expected to play an important role in this development. Although evidence shows mobile medical apps might be effective in improving the care, self-management, self-efficacy, health-related behavior, and medication adherence of older adults, little is known about older adults’ intention to use these technologies when needed, or the factors influencing this intention.

Objective

The objective of this study was to investigate the relationship of technology acceptance factors and intention to use mobile medical apps among community-dwelling older adults.

Methods

Data was collected using questionnaires. The factors selected from the literature have been validated using Cronbach α and tested for significance using logistic regressions.

Results

Almost half (49.7%) of the included older adults reported no intention to use medical apps. Adjusted logistic regression analysis per factor showed that the factors Attitude toward use (odds ratio [OR] 8.50), Perceived usefulness (OR 5.25), Perceived ease of use (OR 4.22), Service availability (OR 3.46), Sense of control (OR 3.40), Self-perceived effectiveness (OR 2.69), Facilities (OR 2.45), Personal innovativeness (OR 2.08), Social relationships (OR 1.79), Subjective norm (OR 1.48), and Feelings of anxiety (OR 0.62) significantly influenced the intention to use mobile medical apps among older adults, whereas the factor Finance (OR 0.98) did not. When considered together, a controlled multivariate logistic regression yielded high explained variances of 0.542 (Cox-Snell R²) and 0.728 (Nagelkerke R²).

Conclusions

The high odds ratios and explained variance indicate that the factors associated with the intention to use medical apps are largely understood and the most important factors have been identified. To advance the evidence base, experimental controlled research should investigate the causality between the factors, intention to use, and actual use. For this purpose, our evidence suggests that policies designed to improve Attitude toward use appear most effective, followed by policies addressing Perceived usefulness, Perceived ease of use, Service availability, and Sense of control.

Mobile App Use for Insomnia Self-Management in Urban Community-Dwelling Older Korean Adults: Retrospective Intervention Study

Background

As an evidence-based psychotherapy for treating insomnia, cognitive behavioral therapy for insomnia (CBT-I), which helps people with sleep problems to change their unhelpful sleep-related beliefs and habits, has been well-established in older adults. Recently, the utilization of mobile CBT-I apps has been getting attention from mental health professionals and researchers; however, whether mobile CBT-I apps are usable among older users has yet to be determined.

Objective

The aims of this study were to explore the relationships between subjective sleep quality and subjective memory complaints and depressive symptoms; to explore the relationship between perceived difficulty in mobile app use and usability of the mobile phone–based self-help CBT-I app, named MIND MORE, in urban community-dwelling Korean older adults; to compare changes in subjective sleep quality from pre-intervention to post-intervention, during which they used the mobile app over a 1-week intervention period; and evaluate adherence to the app.

Methods

During the 2-hour training program delivered on 1 day titled “Overcoming insomnia without medication: How to use the ‘MIND MORE’ mobile app for systematic self-management of insomnia” (pre-intervention), 41 attendants were asked to gain hands-on experience with the app facilitated by therapists and volunteer workers. They were then asked to complete questionnaires on sociodemographic characteristics, subjective evaluation of mental health status (ie, depression, memory loss and impairment, and sleep problems), and app usability. For the 1-week home-based self-help CBT-I using the app (post-intervention), 9 of the 41 program attendants, who had already signed up for the pre-intervention, were guided to complete the given questionnaires on subjective evaluation of sleep quality after the 1-week intervention, specifically 8 days after the training program ended.

Results

Due to missing data, 40 of 41 attendants were included in the data analysis. The main findings of this study were as follows. First, poor subjective sleep quality was associated with higher ratings of depressive symptoms (40/40; ρ=.60, P<.001) and memory complaints (40/40; ρ=.46, P=.003) at baseline. Second, significant improvements in subjective sleep quality from pre-intervention to post-intervention were observed in the older adults who used the MIND MORE app only for the 1-week intervention period (9/9; t₈=3.74, P=.006). Third, apart from the program attendants who did not have a smartphone (2/40) or withdrew from their MIND MORE membership (3/40), those who attended the 1-day sleep education program adhered to the app from at least 2 weeks (13/35, 37%) to 8 weeks (2/35, 6%) without any further contact.

Conclusions

This study provides empirical evidence that the newly developed MIND MORE app not only is usable among older users but also could improve subjective sleep quality after a 1-week self-help intervention period.

Changes in technology acceptance among older people with dementia: the role of social robot engagement

OBJECTIVE

Emerging technologies such as social robots have shown to be effective in reducing loneliness and agitation for older people with dementia. However, the acceptance of technology (specifically social robots) was found to be low for older people with dementia. The current understanding of changes in technology acceptance following direct exposure is limited and lacks rigorous study design. This study examined the change in technology acceptance after a direct interaction with a humanoid social robot (Kabochan) that was deployed for long-term care facilities' residents with dementia.

METHODS

The technology acceptance was assessed using randomised control trials for a time frame of 32 weeks. A total of 103 residents clinically diagnosed with dementia, with a mean age of 87.2 years (SD = 7.4), were recruited from seven long-term care facilities in Hong Kong and were randomly allocated to either Kabochan-engagement group or control group. Participants in the engagement group interacted with Kabochan in an individual, non-facilitated approach. The behavioural engagement with Kabochan was observed by care workers and recorded into constructive engagement and non-engagement. Questionnaire surveys were taken placed at pre- and post-exposure with Kabochan to measure attitudes and beliefs towards technology. The questionnaire was based on previous studies on technology acceptance and included attitudes towards technology, perceived usefulness, perceived ease of use, technology self-efficacy, technology anxiety, and facilitating conditions.

RESULTS

Perceived ease of use was improved at week 32 for participants who interacted with Kabochan (F = 4.239, p = 0.042) with a small effect (η_p² = 0.043) in comparison to usual care group. Results further demonstrated that the magnitude of belief changes was related to the intensity of constructive behavioural engagement. Specifically, resident-robot behavioural engagement moderately improved attitudes towards technology (F = 11.62, p < 0.001, η_p² = 0.11) and perceived usefulness (F = 5.75, p = 0.02, η_p² = 0.06).

CONCLUSIONS

The study tentatively supports that exposure to Kabochan has potential for changing perceived ease of use but not for other beliefs and attitudes towards technology among long-term care residents with dementia. Direct engagement with a humanoid social robot might be promising in improving the perceived ease of use towards technology.

Measuring Senior Technology Acceptance: Development of a Brief, 14-Item Scale

Background and Objectives

Technology has the potential to provide assistance and enrichment to older people; however, the desired outcomes are dependent on users' acceptance and usage. The senior technology acceptance model (STAM) was developed as a multidimensional measure assessing older people's acceptance of general technology. It contained 11 constructs measured by 38 items and had shown satisfactory psychometric properties. However, the length of the questionnaire increased respondent burden and limited its utilization. The study aimed to develop a brief, reliable, and valid version of scale to measure older people's technology acceptance by shortening the full, 38-item STAM questionnaire.

Research Design and Methods

The research method included (1) a sequential item-reduction strategy maximizing internal consistency, (2) convergent and discriminant validity analysis based on confirmative factor analysis, and (3) an expert review of resultant items. Data previously collected for developing the original STAM questionnaire were used to create the brief version. The data were collected from 1,012 community-dwelling individuals aged 55 and older in Hong Kong. Internal consistency and construct validity of the shortened questionnaire were examined. Two experts were invited for reviewing content validity.

Results

The final 14-item, brief version of the STAM questionnaire consisted of a 4-factor structure, representing classical technology acceptance constructs and age-related health characteristics. Theoretical relationships in the brief version showed similar patterns to the original STAM. The 14-item STAM demonstrated robustness in psychometrics by preserving the reliability and validity of the original STAM questionnaire.

Discussion and Implications

The availability of a reliable and valid assessment tool of the short STAM can help researchers and practitioners to measure older adults' acceptance of technology and its effective usage. The short STAM could save administration time, reduce the burden on respondents, and be included in large-scale surveys.

Development of the Hearing Rehabilitation for Older Adults (HeRO) Healthcare Mobile Application and Its Likely Utility for Elderly Users

The present study aimed to develop a healthcare application for the elderly who suspect or know they have a hearing loss, namely, the Hearing Rehabilitation for Older Adults (HeRO), which is available in a mobile device, and then to confirm its probability of acceptance among elderly users. Under a web server system, HeRO which had four types of tailored training for the aged auditory system (i.e., syllable, sentence, discourse, working memory) and a self-reported questionnaire to screen amount of the hearing loss was completed for the elderly. To verify whether the HeRO contents and functions were user-friendly to the elderly users, the technology acceptance model (TAM) was used. Forty-four older adults were asked to use the developed application for 10 days and then respond to a TAM questionnaire with 25 items. The Cronbach’s α coefficient of each subcategory was very high. The construct validity of all subcategories showed high eigenvalues using principal component analysis. Furthermore, our regression model statistically supported a persuasive intention to use the healthcare application because the elderly readily accept it and find it easy to manipulate. We expect the current technology to be applied to the general public as well as the elderly who want to explore digital health.

Bridging the Digital Divide for Older Adults via Observational Training: Effects of Model Identity from a Generational Perspective

The proliferation of technology offers potential solutions for enhancing the well-being of older adults. However, older adults often have low digital literacy and are disengaged from the digital world. With age-appropriate training, older adults are expected to acquire a wide range of technological skills and bridge the digital divide. Through the lens of social cognitive theory, this study aims to investigate the effectiveness of observational training through behavior modeling in enhancing technology acceptance in older adults. The moderating effects of model identity on training outcomes from a generational perspective are examined. An empirical training experiment was completed with 59 community-dwelling older adults. Training outcomes were measured using cognitive knowledge, affective variables, and meta-cognition. The results ascertain the effectiveness of observational training in improving their technological knowledge, self-efficacy, outcome expectations, and sense of social connectedness when using technologies. From a generational perspective, the older adult behavior model is more effective than the young or child behavior models in increasing self-efficacy and willingness to use technology. The model identity further enhances the positive outcomes of training. The results of this study contribute to designing educational interventions to bridge the digital divide.

The effects of bibliotherapy on the mental well-being of informal caregivers of people with neurocognitive disorder: A systematic review and meta-analysis

BACKGROUND

The number of people with neurocognitive disorder is increasing, and the majority of them are cared for by informal caregivers in the community. Mental health problems are common among caregivers, however, professional support for them is often limited. Non-pharmacological self-help interventions, such as bibliotherapy, may improve mental well-being and has the potential for being integrated into clinical or social services.

OBJECTIVES

To explore what types of bibliotherapy have been used for improving the mental well-being of informal caregivers of people with neurocognitive disorders, and the effect on mental well-being outcomes.

DESIGN

A systematic review and meta-analysis.

REVIEW METHODS

Six databases were searched for relevant articles on July 1, 2019. Clinical trial registries and the reference lists of included studies were also searched. Both randomized controlled trials and quasi-experimental studies were included. The Cochrane Collaboration risk of bias tool for randomized controlled trials was used to assess the quality of studies. Review Manager 5.3 was used to analyze data, standardized mean difference (SMD) and 95% confidence interval (CI) were used to estimate the pooled treatment effect. Random effects models were used for meta-analyses. Funnel plot was not performed due to the limited number of studies. This systematic review was registered at PROSPERO (CRD42019129152).

RESULTS

Nine randomized controlled trials with 1036 informal caregivers were included. Most of the included studies had some aspects of bias. Three types of bibliotherapy were used. Bibliotherapy had a significant pooled medium to large effect on reducing depression at Z = 1.99 (SMD = -0.74, 95%CI = -1.47 to -0.01, p = .05), however, the heterogeneity was high (I² = 94%). For the subgroups, only the video-based bibliotherapy significantly reduced depression at Z = 2.78 (I² = 83%, SMD = -2.11, 95%CI = -3.6 to -0.62, p = .005). Bibliotherapy had a significant small to medium effect on caregiver's self-efficacy for dealing with problem behaviours at Z = 2.44 (I² = 0, SMD = 0.36, 95%CI = 0.05 to 0.67, p = .02), however, the effect on self-efficacy for obtaining respite was not significant (I² = 0, SMD =  0.17, 95%CI = -0.16 to 0.49, p = .32). The effect on decreasing state anxiety was significant at Z = 2.30 (I² = 22%, SMD = -0.22, 95% CI = -0.41 to -0.33, p = .02).

CONCLUSIONS

Bibliotherapy showed positive effects on reducing depression, improving self-efficacy for dealing with problem behaviors and reducing anxiety among informal caregivers. The effects on reducing depression should be viewed with caution due to high heterogeneity. The effects on other mental well-being outcomes are inconclusive due to limited number of studies and this underscores the need for further research.

Exoscore: A Design Tool to Evaluate Factors Associated With Technology Acceptance of Soft Lower Limb Exosuits by Older Adults

OBJECTIVE

This pilot study proposed and performs initial testing with Exoscore, a design evaluation tool to assess factors related to acceptance of exoskeleton by older adults, during the technology development and testing phases.

BACKGROUND

As longevity increases and our aging population continues to grow, assistive technologies such as exosuits and exoskeletons can provide enhanced quality of life and independence. Exoscore is a design and prototype stage evaluation method to assess factors related to perceptions of the technology, the aim being to optimize technology acceptance.

METHOD

In this pilot study, we applied the three-phase Exoscore tool during testing with 11 older adults. The aims were to explore the feasibility and face validity of applying the design evaluation tool during user testing of a prototype soft lower limb exoskeleton.

RESULTS

The Exoscore method is presented as part of an iterative design evaluation process. The method was applied during an exoskeleton research and development project. The data revealed the aspects of the concept design that rated favorably with the users and the aspects of the design that required more attention to improve their potential acceptance when deployed as finished products.

CONCLUSION

Exoscore was effectively applied to three phases of evaluation during a testing session of a soft exoskeleton. Future exoskeleton development can benefit from the application of this design evaluation tool.

APPLICATION

This study reveals how the introduction of Exoscore to exoskeleton development will be advantageous when assessing technology acceptance of exoskeletons by older adults.

Understanding consumer acceptance of healthcare wearable devices: An integrated model of UTAUT and TTF

BACKGROUND

Healthcare wearable devices (HWDs) enable continuous monitoring of consumers' health signals and have great potential to improve the efficiency and quality of healthcare. However, factors influencing consumer acceptance of HWDs are not well understood. Moreover, extant studies seem to fail to consider whether an HWD has appropriate functions to fit the requirements of consumers' healthcare activities.

OBJECTIVES

The objective of this study was to develop and empirically test a model by integrating the Unified Theory of Acceptance and Usage of Technology (UTAUT) and Task-Technology Fit (TTF) models to understand how consumers accept HWDs.

METHODS

A self-administered questionnaire was designed based on validated measurement scales. Data from 406 valid samples were analyzed using partial least squares structural equation modeling.

RESULTS

The results indicated that performance expectancy, effort expectancy, facilitating conditions, social influence, and task-technology fit positively affected consumers' behavioral intention to use HWDs, and together accounted for 68.0 % of its variance. Both task and technology characteristics were significant determinants of task-technology fit and exerted impacts on behavioral intention through the mediating roles of task-technology fit and effort expectancy.

CONCLUSIONS

The key findings showed that consumer acceptance of HWDs was affected by both users' perceptions (i.e., performance expectancy, effort expectancy, social influence and facilitating conditions) and the task-technology fit. The theoretical and practical implications and contributions were provided for future researchers and practitioners to increase consumers' use of HWDs in their healthcare activities.

Usability Issues of Clinical and Research Applications of Virtual Reality in Older People: A Systematic Review

Aging is a condition that may be characterized by a decline in physical, sensory, and mental capacities, while increased morbidity and multimorbidity may be associated with disability. A wide range of clinical conditions (e.g., frailty, mild cognitive impairment, metabolic syndrome) and age-related diseases (e.g., Alzheimer's and Parkinson's disease, cancer, sarcopenia, cardiovascular and respiratory diseases) affect older people. Virtual reality (VR) is a novel and promising tool for assessment and rehabilitation in older people. Usability is a crucial factor that must be considered when designing virtual systems for medicine. We conducted a systematic review with Preferred Reporting Items for Systematic reviews and Meta-analysis (PRISMA) guidelines concerning the usability of VR clinical systems in aging and provided suggestions to structure usability piloting. Findings show that different populations of older people have been recruited to mainly assess usability of non-immersive VR, with particular attention paid to motor/physical rehabilitation. Mixed approach (qualitative and quantitative tools together) is the preferred methodology; technology acceptance models are the most applied theoretical frameworks, however senior adapted models are the best within this context. Despite minor interaction issues and bugs, virtual systems are rated as usable and feasible. We encourage usability and user experience pilot studies to ameliorate interaction and improve acceptance and use of VR clinical applications in older people with the aid of suggestions (VR-USOP) provided by our analysis.

Factors predicting older Adults' attitudes toward and intentions to use stair mobility assistive designs at home

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Perceived usefulness predicts attitudes and intentions to use stair mobility products.

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Aesthetics, fear of falling, and person-environment fit influence product acceptance.

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Age and living with others negatively impact attitude toward stair mobility products.

Home modifications that increase stair accessibility of existing housing stock are significant for older adults who want to age in place. This sequential mixed-methods study investigated older adults’ attitudes toward and intentions to use currently available stair mobility assistive design features, and explored which factors influence these attitudes and intentions to use. The data were collected through a cross-sectional survey of community-dwelling 50 + adults from Southwest Virginia (n = 89) and a focus group (n = 15) in 2018. The survey questionnaire was based on a modified version of the Technology Acceptance Model, and focused on three stair mobility assistive design products representative of varying costs, and a range of mobility challenges: half-steps, StairSteady handrail, and stairlift. Ordinal regression analyses indicated that perceived usefulness consistently predicts older adults’ attitudes and intentions to use the three examined stair mobility products. The other factors associated with attitudes and willingness to use the products are dependent on some degree to the examined mobility device. Older age and presence of others in the household negatively influenced attitudes toward stair mobility products. Product aesthetics/unobtrusiveness, fear of falling, and person-environment fit are the three themes emerged from the focus group data analysis as the factors that most influence community-dwelling older adults’ attitudes and intention to use stair-mobility assistive features. The findings have implications for design professionals, as they underscore the need for avoiding an institutional look in residential designs, specifying products with high customizability for user needs and preferences, and involvement of users in the decision-making processes.

Trust and acceptance of a virtual psychiatric interview between embodied conversational agents and outpatients

Virtual agents have demonstrated their ability to conduct clinical interviews. However, the factors influencing patients' engagement with these agents have not yet been assessed. The objective of this study is to assess in outpatients the trust and acceptance of virtual agents performing medical interviews and to explore their influence on outpatients' engagement. In all, 318 outpatients were enroled. The agent was perceived as trustworthy and well accepted by the patients, confirming the good engagement of patients in the interaction. Older and less-educated patients accepted the virtual medical agent (VMA) more than younger and well-educated ones. Credibility of the agent appeared to main dimension, enabling engaged and non-engaged outpatients to be classified. Our results show a high rate of engagement with the virtual agent that was mainly related to high trust and acceptance of the agent. These results open new paths for the future use of VMAs in medicine.

Effects of COVID-19 Infection Control Measures on Appointment Cancelation in an Italian Outpatient Memory Clinic

Background: In the first wave of the COVID-19 pandemic in 2020, many countries made changes to the routine management of patients with non-communicable diseases, including neurocognitive disorders. Therefore, many "so-called" non-urgent elective procedures and outpatient appointments have been canceled or postponed, possibly impacting negatively on health and well-being of patients in the short- and long-term. Aim: Here, we aimed at describing numbers and types of outpatient appointments canceled as a result of government's restrictive measures in our memory clinic. Methods: The scheduled appointments at the memory clinic of the Santa Lucia Foundation IRCCS, Rome, Italy, are recorded in a comprehensive dataset under strict administrative control. Here, we compared appointments (first-time and follow-up) that were canceled from January to April 2020 with those of the corresponding months in 2019. Results: We observed a substantial decrease in appointments during 2020. The majority of scheduled appointments were follow-up, and about a quarter were first-time appointments. We estimated that 66.7% and 77.4% of patients missed out respectively their first and follow-up appointments in our memory clinic due to government's restrictive measures in March-April 2020. Conclusions: A large number of patients with neurocognitive disorders missed crucial appointments due to government's restrictive measures, and many experienced a delay in initial diagnosis and initiation of treatment. This has relevant impact on their treatment and consequently has (is still having and potentially will have) an increase on the healthcare service burden of clinics. Furthermore, as a second wave of COVID-19 affects Europe, and with winter approaching, it is a compelling priority to ensure easy and rapid access to appropriate assessment, care and treatment in the event of a new outbreak and potential subsequent lockdowns, with particular attention to the development of specific healthcare technologies customized to older persons with cognitive impairment.

Improving gesture-based interaction between an assistive bathing robot and older adults via user training on the gestural commands

BACKGROUND

Gesture-based human-robot interaction (HRI) depends on the technical performance of the robot-integrated gesture recognition system (GRS) and on the gestural performance of the robot user, which has been shown to be rather low in older adults. Training of gestural commands (GCs) might improve the quality of older users' input for gesture-based HRI, which in turn may lead to an overall improved HRI.

OBJECTIVE

To evaluate the effects of a user training on gesture-based HRI between an assistive bathing robot and potential elderly robot users.

METHODS

Twenty-five older adults with bathing disability participated in this quasi-experimental, single-group, pre-/post-test study and underwent a specific user training (10-15 min) on GCs for HRI with the assistive bathing robot. Outcomes measured before and after training included participants' gestural performance assessed by a scoring method of an established test of gesture production (TULIA) and sensor-based gestural performance (SGP) scores derived from the GRS-recorded data, and robot's command recognition rate (CRR).

RESULTS

Gestural performance (TULIA = +57.1 ± 56.2 %, SGP scores = +41.1 ± 74.4 %) and CRR (+31.9 ± 51.2 %) significantly improved over training (p < .001). Improvements in gestural performance and CRR were highly associated with each other (r = 0.80-0.81, p < .001). Participants with lower initial gestural performance and higher gerontechnology anxiety benefited most from the training.

CONCLUSIONS

Our study highlights that training in gesture-based HRI with an assistive bathing robot is highly beneficial for the quality of older users' GCs, leading to higher CRRs of the robot-integrated GRS, and thus to an overall improved HRI.

A Review of Internet of Things Technologies for Ambient Assisted Living Environments

The internet of things (IoT) aims to extend the internet to real-world objects, connecting smart and sensing devices into a global network infrastructure by connecting physical and virtual objects. The IoT has the potential to increase the quality of life of inhabitants and users of intelligent ambient assisted living (AAL) environments. The paper overviews and discusses the IoT technologies and their foreseen impacts and challenges for the AAL domain. The results of this review are summarized as the IoT based gerontechnology acceptance model for the assisted living domain. The model focuses on the acceptance of new technologies by older people and underscores the need for the adoption of the IoT for the AAL domain.

Is Cognitive Training Worth It? Exploring Individuals' Willingness to Engage in Cognitive Training

We assessed how much time individuals would be willing to spend engaging in game-based cognitive training to gain prolonged functional independence. In Study 1 (N = 294), participants completed a survey with questions assessing how much time they would be willing to invest in daily cognitive training to extend their functional independence by certain amounts of time using a slider response that ranged from 0 to 100 minutes. Participants also completed surveys that measured self-perceived health and cognitive functioning, personality, and other demographic variables. Even for relatively small gains, participants reported being willing to dedicate an average of 11 minutes every day to cognitive training, with some participants willing to engage for significantly longer. The best predictor of willingness to invest time in training was belief in cognitive training efficacy, followed by openness to experience, and participants' self-perceived cognitive deficit. Study 2 examined the same question in a sample of 120 older adults, this time allowing for open-ended responses. Participants reported being willing to invest significantly more time, ranging from more than 40 minutes every day to gain just one week of independence, to over 2.5 hours every day to gain an additional 3 years of independence. Again, perception of cognitive training efficacy was the strongest predictor of willingness to invest time. Results confirm that older adults are willing to invest significant amounts of time to gain independence later in life, and have implications for predicting the adoption of, and adherence to, potentially effective treatments for cognitive decline.

Converting a digital minority into a digital beneficiary: Digital skills to improve the need for cognition among Korean older adults

This study explores how digital technologies can benefit older adults’ cognitive health. The need for cognition (NFC) refers to an individual’s tendency to engage in and enjoy cognitive endeavors and is an explanatory variable for behavioral outcomes. To date, little scholarly literature has examined how NFC can be affected by our behavior; therefore, this study explored whether practicing digital skills can help to improve or maintain NFC. Utilizing age as an instrumental variable, we analyzed data from 8,824 respondents (mean age = 49.43) to the 2015 Korea Media Panel survey and discovered that enhanced digital skills led to stronger NFC. This causal effect was stronger for the older cohort (baby boomers and older, who were born before 1963). These findings suggest that older adults’ NFC may not necessarily decline with age if they practice more digital skills. This study could ultimately contribute to the transformation of the older population from a digital minority to a digital beneficiary.

Integrating usability and social cognitive theories with the technology acceptance model to understand young users’ acceptance of a health information portal

The past decade has seen the proliferation of health information portals; however, consumer acceptance of the portals has proven difficult and rate of use has been limited. This study developed a consumer acceptance model by integrating usability and social cognitive theories with the technology acceptance model to explain young Internet users’ acceptance of health information portals. Participants (n = 201) completed a self-report questionnaire measuring model constructs after attending a usability testing with a typical health information portal. Results showed that the hypothesized model accounted for 56 percent of the variance in behavioral intention to use the portal and explained consumer acceptance well. Both subjective usability and application-specific self-efficacy served as significant antecedents in the model, while application-specific self-efficacy also moderated the effect of subjective usability on perceived ease of use. The findings can help practitioners with the design and implementation of health information portals and other health informatics applications in support of consumer acceptance.

Exerting Explanatory Accounts of Safety Behavior of Older Construction Workers within the Theory of Planned Behavior

Older construction workers are vulnerable to accident risks at work. Work behavior affects the occurrence of accidents at construction sites. This study aims to investigate the organizational and personal factors that underlie the safety behaviors of older construction workers considering their age-related characteristics. A cross-sectional questionnaire survey, which involves 260 older construction workers (aged 50 and over), was conducted, and an integrative old-construction-worker safety behavior model (OSBM) was established on the basis of the theory of planned behavior (TPB). Results showed that the OSBM provides a considerably good explanation of the safety behaviors of older construction workers. The explained variances for safety participation and compliance are 74.2% and 63.1%, respectively. Subjective norms and perceived behavioral control are two critical psychological drivers that proximally affect the safety behaviors of workers. Moreover, safety knowledge, management commitment, and aging expectation are the distal antecedents that significantly influence psychological drivers. This study proves the mediating role of psychological factors on predicting safety behaviors among older construction workers, thereby promoting an understanding of "how" and "why" their safety behaviors occur. Furthermore, the identified effects of several critical organizational and personal factors, particularly age-related factors, provide new insights into the safety behaviors of older construction workers.

Understanding changes and stability in the long-term use of technologies by seniors who are aging in place: a dynamical framework

Background

If technologies are to support aging in place, then it is important to develop fundamental knowledge on what causes stability and changes in the use of technologies by seniors. However, longitudinal studies on the long-term use of technologies that have been accepted into the home (i.e., post-implementation use) are very scarce. Many factors potentially could influence post-implementation use, including life events, age-related decline, changes in personal goal orientation, and various types of social influences. The aforementioned factors are likely to be interrelated, adding to the complexity. The goal of this study is to better understand changes and stability in the use of technologies by independent-living seniors, by using a dynamical systems theory approach.

Methods

A longitudinal qualitative field study was conducted involving home visits to 33 community-dwelling seniors in the Netherlands, on three occasions (2012–2014). Interviews were held on technology usage patterns, including reasons for stable, increased, declined and stopped use. Technologies were included if they required electric power in order to function, were intended to be used in or around the home, and could support activities of daily living, personal health or safety, mobility, communication, and physical activity. Thematic analysis was employed, using constant case comparison to better understand dynamics and interplay between factors. In total, 148 technology use patterns by 33 participants were analyzed.

Results

A core of six interrelated factors was closely linked to the frequency of technology use: emotional attachment, need compatibility, cues to use, proficiency to use, input of resources, and support. Additionally, disruptive forces (e.g., social influences, competition with alternative means, changes of personal needs) could induce change by affecting these six factors. Furthermore, long-term technology use was in some cases more resilient to disruption than in other cases. Findings were accumulated in a new framework: Dynamics In Technology Use by Seniors (DITUS).

Conclusions

Similar to aging, the use of technologies by older people is complex, dynamic and personal. Periods of stability and change both occur naturally. The DITUS framework can aid in understanding stability and instability of technology use, and in developing and implementing sustainable technological solutions for aging in place.

Electronic supplementary material

The online version of this article (10.1186/s12877-019-1241-9) contains supplementary material, which is available to authorized users.

The Acceptance Behavior of New Media Entertainment Among Older Adults: Living Arrangement as a Mediator

New media entertainment is currently being spotlighted by business practitioners and researchers. This article highlighted this issue of elder online users and explored the factors affecting their acceptance decisions in new media entertainment. Older adults prefer to status and value orientations, so their online acceptance of new media entertainment is significantly influenced by the perceived usefulness and social benefits. In addition, types of living arrangement significantly affect technology acceptance model of older adults.

How Prefrail Older People Living Alone Perceive Information and Communications Technology and What They Would Ask a Robot for: Qualitative Study

Background

In the last decade, the family system has changed significantly. Although in the past, older people used to live with their children, nowadays, they cannot always depend on assistance of their relatives. Many older people wish to remain as independent as possible while remaining in their homes, even when living alone. To do so, there are many tasks that they must perform to maintain their independence in everyday life, and above all, their well-being. Information and communications technology (ICT), particularly robotics and domotics, could play a pivotal role in aging, especially in contemporary society, where relatives are not always able to accurately and constantly assist the older person.

Objective

The aim of this study was to understand the needs, preferences, and views on ICT of some prefrail older people who live alone. In particular, we wanted to explore their attitude toward a hypothetical caregiver robot and the functions they would ask for.

Methods

We designed a qualitative study based on an interpretative phenomenological approach. A total of 50 potential participants were purposively recruited in a big town in Northern Italy and were administered the Fried scale (to assess the participants’ frailty) and the Mini-Mental State Examination (to evaluate the older person’s capacity to comprehend the interview questions). In total, 25 prefrail older people who lived alone participated in an individual semistructured interview, lasting approximately 45 min each. Overall, 3 researchers independently analyzed the interviews transcripts, identifying meaning units, which were later grouped in clustering of themes, and finally in emergent themes. Constant triangulation among researchers and their reflective attitude assured trustiness.

Results

From this study, it emerged that a number of interviewees who were currently using ICT (ie, smartphones) did not own a computer in the past, or did not receive higher education, or were not all young older people (aged 65-74 years). Furthermore, we found that among the older people who described their relationship with ICT as negative, many used it in everyday life. Referring to robotics, the interviewees appeared quite open-minded. In particular, robots were considered suitable for housekeeping, for monitoring older people’s health and accidental falls, and for entertainment.

Conclusions

Older people’s use and attitudes toward ICT does not always seem to be related to previous experiences with technological devices, higher education, or lower age. Furthermore, many participants in this study were able to use ICT, even if they did not always acknowledge it. Moreover, many interviewees appeared to be open-minded toward technological devices, even toward robots. Therefore, proposing new advanced technology to a group of prefrail people, who are self-sufficient and can live alone at home, seems to be feasible.

Older Adults and Digital Society: Scientific Coverage

While there is a progressive ageing of the population, we are witnessing a rapid development of new information and communication technologies (ICTs). Although for most of society this technology is within reach, there are population segments for whom access is limited, especially adults who are considered of old age. Due to the relevance that the relationship between ICTs and older adults acquires in today’s society, it is necessary to carry out an analysis of the scientific literature in order to understand the knowledge structure of this field. In this research, a comparative bibliometric analysis of 172 documents published in the Web of Science (WoS) and Scopus databases was carried out until 2018 and is complemented by a co-citation analysis. The results show that this subject is incipient and is in its exponential growth stage, with two thirds of the production concentrated in the 2012–2018 period. Four out of five authors are transient with a single authorship and the collaboration level is high. The most productive country is Germany followed by the United States and Australia.

A Novel Instrument for Measuring Older People's Attitudes Toward Technology (TechPH): Development and Validation

BACKGROUND

The use of health technology by older people is coming increasingly in focus with the demographic changes. Health information technology is generally perceived as an important factor in enabling increased quality of life and reducing the cost of care for this group. Age-appropriate design and facilitation of technology adoption are important to ensure functionality and removal of various barriers to usage. Development of assessment tools and instruments for evaluating older persons' technology adoption and usage as well as measuring the effects of the interventions are of high priority. Both usability and acceptance of a specific technology or service are important factors in evaluating the impact of a health information technology intervention. Psychometric measures are seldom included in evaluations of health technology. However, basic attitudes and sentiments toward technology (eg, technophilia) could be argued to influence both the level of satisfaction with the technology itself as well as the perception of the health intervention outcome.

OBJECTIVE

The purpose of this study is to develop a reduced and refined instrument for measuring older people's attitudes and enthusiasm for technology based on relevant existing instruments for measuring technophilia. A requirement of the new instrument is that it should be short and simple to make it usable for evaluation of health technology for older people.

METHODS

Initial items for the TechPH questionnaire were drawn from a content analysis of relevant existing technophilia measure instruments. An exploratory factor analysis was conducted in a random selection of persons aged 65 years or older (N=374) on eight initial items. The scale was reduced to six items, and the internal consistency and reliability of the scale were examined. Further validation was made by a confirmatory factor analysis (CFA).

RESULTS

The exploratory factor analysis resulted in two factors. These factors were analyzed and labeled techEnthusiasm and techAnxiety. They demonstrated relatively good internal consistency (Cronbach alpha=.72 and .68, respectively). The factors were confirmed in the CFA and showed good model fit (χ²₈=21.2, χ²/df=2.65, comparative fit index=0.97, adjusted goodness-of-fit index=0.95, root mean square error of approximation=0.067, standardized root mean square residual=0.036).

CONCLUSIONS

The construed TechPH score showed expected relations to external real-world criteria, and the two factors showed interesting internal relations. Different technophilia personality traits distinguish clusters with different behaviors of adaptation as well as usage of new technology. Whether there is an independent association with the TechPH score against outcomes in health technology projects needs to be shown in further studies. The instrument must also be validated in different contexts, such as other countries.

Predictors of Seniors' Interest in Assistive Applications on Smartphones: Evidence from a Population-Based Survey in Slovenia

Assistive applications (apps) on smartphones could contribute to a better quality of life for seniors living independently at home. At present, there is a lack of empirical evidence of seniors' acceptance of such apps. The Cycle of Technology Acquirement by Independent-Living Seniors (C-TAILS) model was recently proposed for studying the interplay between acceptance factors by integrating the personal, social and technological domains of seniors' daily lives. This study aimed to explore how four groups of factors, clustered in accordance with the C-TAILS model, predict seniors' interest in assistive apps, on a representative sample of the Slovenian population aged 55 years or older. The 617 respondents, who were contacted though a telephone survey, answered a questionnaire about their interest in three groups of assistive apps and four groups of potentially associated acceptance factors. Three linear regression models were used to analyse the association between the factors and the seniors' interest in the three types of assistive apps. Smartphone-related dispositional traits were the strongest predictors across all three models. Among mobile phone usage patterns, smartphone use and the breadth of mobile phone features used were significant factors, while the significance of seniors' personal characteristics and socio-economic conditions varied across the models. Hence, awareness that these factors play different roles in the acceptance of different assistive apps is needed in order to design viable interventions for their acceptance among seniors.

An Evaluation of a Low-Intensity Cognitive Behavioral Therapy mHealth-Supported Intervention to Reduce Loneliness in Older People

There is a high prevalence of loneliness among older people, especially in residential care settings. Loneliness is often accompanied by maladaptive cognitions which can affect the maintenance and establishment of meaningful social connections. This study implemented and evaluated a low-intensity Cognitive Behavior Therapy (LI-CBT) mHealth-supported intervention which targeted maladaptive cognitions in older people (≥60 years) experiencing loneliness. The three-month intervention using WhatsApp was implemented with older people in four inner-city residential care facilities. The intervention included three components: technology acceptance, psycho-education, and individualized positively worded messages addressing maladaptive cognitions. The intervention was evaluated using a randomized control design. Key outcomes were measured pre-, post-, and one month after the intervention. There were significant changes in social cognition (YSQ-SF T₀-T₁-T₂, X² = 9.69, p = 0.008) and loneliness levels (total loneliness T₀-T₁-T₂, X² = 14.62, p = 0.001), and an increase in WhatsApp usage (T₀ = 26% vs. T₁ = 60%, X²=15.22, p = 0.019). At 1-month follow-up, even with a significant reduction in WhatsApp usage, a significant reduction in loneliness was maintained. LI-CBT delivered via instant messaging may be effective in reducing loneliness experienced by older people.

‘That's for old so and so's!’: does identity influence older adults’ technology adoption decisions?

The role of identity in older adults’ decision-making about assistive technology adoption has been suggested but not fully explored. This scoping review was conducted to understand better how older adults’ self-image and their desire to maintain this influence their decision-making processes regarding assistive technology adoption. Using the five-stage scoping review framework by Arksey and O'Malley, a total of 416 search combinations were run across nine databases, resulting in a final yield of 49 articles. From these 49 articles, five themes emerged: (a) resisting the negative reality of an ageing and/or disabled identity; (b) independence and control are key; (c) the aesthetic dimension of usability; (d) assistive technology as a last resort; and (e) privacy versus pragmatics. The findings highlight the importance of older adults’ desire to portray an identity consistent with independence, self-reliance and competence, and how this desire directly impacts their assistive technology decision-making adoption patterns. These findings aim to support the adoption of assistive technologies by older adults to facilitate engagement in meaningful activities, enable social participation within the community, and promote health and wellbeing in later life.

Identifying Features that Enhance Older Adults' Acceptance of Robots: A Mixed Methods Study

BACKGROUND

With global aging, robots are considered a promising solution for handling the shortage of aged care and companionships. However, these technologies would serve little purpose if their intended users do not accept them. While the socioemotional selectivity theory predicts that older adults would accept robots that offer emotionally meaningful relationships, selective optimization with compensation model predicts that older adults would accept robots that compensate for their functional losses.

OBJECTIVE

The present study aims to understand older adults' expectations for robots and to compare older adults' acceptance ratings for 2 existing robots: one of them is a more human-like and more service-oriented robot and the other one is a more animal-like and more companion-oriented robot.

METHODS

A mixed methods study was conducted with 33 healthy, community-dwelling Taiwanese older adults (age range: 59-82 years). Participants first completed a semi-structured interview regarding their ideal robot. After receiving information about the 2 existing robots, they then completed the Unified Theory of Acceptance and Use of Technology questionnaires to report their pre-implementation acceptance of the 2 robots.

RESULTS

Interviews were transcribed for conventional content analysis with satisfactory inter-rater reliability. From the interview data, a collection of older adults' ideal robot characteristics emerged with highlights of humanlike qualities. From the questionnaire data, respondents showed a higher level of acceptance toward the more service-oriented robot than the more companion-oriented robot in terms of attitude, perceived adaptiveness, and perceived usefulness. From the mixed methods analyses, the finding that older adults had a higher level of positive attitude towards the more service-oriented robot than the more companion-oriented robot was predicted by higher expectation or preference for robots with more service-related functions.

CONCLUSION

This study identified older adults' preference toward more functional and humanlike robots. Our findings provide practical suggestions for future robot designs that target the older population.

Remote home physical training for seniors: guidelines from the AAL-supported MOTION project

European population will face an unprecedented aging era in the next years. Albeit aging in itself is a success goal, it may bring with it a general decline and functional limitations. In order to decelerate such decline, one of the most efficient strategies is physical activity. The present paper reports the insight emerging from three focus-group interviews organized at the beginning of the MOTION-Remote Home Physical Training for Seniors project, whose main aim regarded the implementation of an ICT system capable of offering home-based gym sessions to healthy seniors. The sixteen interview participants (11 females and 5 males, averaged age 72.3) provided several indications, which were grouped into the following themes: (1) ICT technical characteristics; (2) Platform accessibility; (3) Physical program features; (4) Psychological factors. At the end of the thematic analysis, results suggest that theoretical frameworks mainly focusing on ICT issues might be insufficient to endorse the successful development and maintenance of ICT systems such as MOTION, which challenges seniors to accept ICT while staying committed to the physical exercise program .

Health monitoring through wearable technologies for older adults: Smart wearables acceptance model

In the context of a fast aging population, ubiquitous usage of smart wearable systems can alleviate the social burden caused by the increasing need of older adults for healthcare and assistance. To facilitate and encourage the use of smart wearable systems among older adults, this study investigated the factors that contribute to the acceptance of such systems, and smart wearables acceptance model for older adults was developed using structural equation modeling. The model was validated using 146 survey samples collected from adults aged 60 years and above. The results indicated that perceived usefulness, compatibility, facilitating conditions, and self-reported health status significantly and positively affect older adults' intention to use such technologies. Useful implications and insights were provided to future researchers and practitioners to enhance older adults' acceptance of smart wearable systems.

Technology Adoption by Older Adults: Findings From the PRISM Trial

Background and Objectives

There is growing evidence of the benefits of computers for older adults. Yet, adoption rates are lower compared with younger adults. Extant theoretical models of technology acceptance are limited in their application to older adults-studies on which these models are based included a limited sample of older adults or none at all; none assessed use of a technology specifically designed for older adults; and most only measured intention to use a technology or short-term use, rather than longer-term use (i.e., adoption). We assessed adoption of a computer system specifically designed for older users, for a diverse sample, over an extended period of time.

Research Design and Methods

We analyzed archival data from 150 ethnically diverse older adults (65-98 years of age) who participated in the Personal Reminder Information and Social Management (PRISM) randomized controlled trial (Czaja SJ, Boot WR, Charness N, Rogers WA, Sharit J, Fisk AD,…Nair SN. The personalized reminder information and social management system (PRISM) trial: Rationale, methods and baseline characteristics. Contemp Clin Trials. 2015;40:35-46; Czaja SJ, Boot WR, Charness N, Rogers WA, Sharit J. Improving social support for older adults through technology: Findings from the PRISM randomized controlled trial. Gerontologist. 2017;58:467-477). We examined the extent to which attitudes, personal characteristics (e.g., age, gender, and personality), and cognitive abilities predicted mid-term and long-term adoption of a computer system designed for older adults.

Results

There were individual differences in PRISM use over time. Regression analyses indicated that individual differences in earlier use of the system, executive functioning, and computer efficacy predicted long-term use.

Discussion and Implications

These data provide insights for broader-based models of technology acceptance to guide design, instruction, and deployment of products for older adults. Specifically, the provision of opportunities to foster efficacy and gain positive experience with computer technologies may play a critical role in the likelihood that older adults adopt such technologies.

Trial Registration

NCT01497613.

Attitudes Toward Computers Across Adulthood From 1994 to 2013

Background and Objectives

Regardless of the increased deployment of technologies in everyday living domains, barriers remain that hamper technology adoption by older adults. Understanding barriers to adoption such as individual differences in attitudes toward computers is important to the design of strategies to reduce age-related digital disparities.

Research Design and Methods

This article reports a time-sequential analysis of data from the Edward R. Roybal Center on Human Factors and Aging Research and the Center for Research and Education on Aging and Technology Enhancement (CREATE) on computer attitudes among a large (N = 3,917), diverse sample of community-dwelling adults aged from 18 to 98 years. The data were gathered from 1994 to 2013.

Results

The findings indicated that there are still age disparities in attitudes; older adults report less comfort with and less efficacy about using computers than younger people. We also found a cohort (birth year) effect; attitudes are generally more positive among more recent birth cohorts. Those who have more education and experience with computers also have more positive attitudes. Males generally have more positive attitudes than females; however, the gender difference decreases with increased age.

Discussion and Implications

Technology affords potential benefits for older people, but lack of uptake in technology clearly puts older adults at a disadvantage in terms of negotiating today's digital world. This article provides insight into attitudinal barriers that may affect on technology uptake among older adults. The findings have implications for the design of technology training programs, design of technology systems, and policy.

The use of smartphones for wayfinding by people with mild dementia

The aim of this study was to explore the acceptability, feasibility and usability of older people with mild dementia to use smartphone for wayfinding. Thirty cognitively normal older people and 16 people with mild dementia were recruited to participate in a wayfinding trial in the free-living environment. Five feasibility and three acceptability markers were compared between the groups. Content analysis on the video-recorded trial processes and individual interviews was employed to identify the usability issues. The results found that there were no significant between-group differences on the feasibility markers, except that the people with mild dementia needed significantly more time to complete the wayfinding trial and workshop; or on the acceptability items. Sensory/cognitive impairment and GPS signal reliability affected their usability. Mild dementia does not limit the older people to use smartphones for wayfinding in the free-living environment. Future studies should examine the efficacy and safety of smartphone to promote outdoor independence of the people with mild dementia.

Exploring Older Adults' Video Game Use in the PRISM Computer System

Background and Objective

As part of the PRISM (Personal Reminder Information & Social Management) randomized field trial, a large group of older adults (N = 150) received a computer system in their home that presented them with the opportunity to play eleven different video games. While researchers have often assessed older adults’ gaming preferences and habits through survey data and focus groups, this trial represented a unique opportunity to study gaming behavior “in the wild” over an entire year.

Research Design and Methods

We present an exploration of game usage data, individual differences in game preferences and gaming habits, and individual difference predictors of game use.

Results

Although few individual difference variables consistently predicted game use and preferences, there were clear favorites among the different games, and results demonstrate that given the opportunity and training many older adults may become active and long-term gamers.

Discussion and Implications

Findings have implications for designing video games that older adults enjoy, supporting enjoyable and meaningful interactions with video games across the life span, and for designing cognitive, social, and health interventions involving games.

Understanding Older People's Readiness for Receiving Telehealth: Mixed-Method Study

Background

The Dutch Ministry of Health has formulated ambitious goals concerning the use of telehealth, leading to subsequent changes compared with the current health care situation, in which 93% of care is delivered face-to-face. Since most care is delivered to older people, the prospect of telehealth raises the question of whether this population is ready for this new way of receiving care. To study this, we created a theoretical framework consisting of 6 factors associated with older people’s intention to use technology.

Objective

The objective of this study was to understand community-dwelling older people’s readiness for receiving telehealth by studying their intention to use videoconferencing and capacities for using digital technology in daily life as indicators.

Methods

A mixed-method triangulation design was used. First, a cross-sectional survey study was performed to investigate older people’s intention to use videoconferencing, by testing our theoretical framework with a multilevel path analysis (phase 1). Second, for deeper understanding of older people’s actual use of digital technology, qualitative observations of older people executing technological tasks (eg, on a computer, cell phone) were conducted at their homes (phase 2).

Results

In phase 1, a total of 256 people aged 65 years or older participated in the survey study (50.0% male; median age, 70 years; Q1-Q3: 67-76). Using a significance level of .05, we found seven significant associations regarding older people’s perception of videoconferencing. Older people’s (1) intention to use videoconferencing was predicted by their performance expectancy (odds ratio [OR] 1.26, 95% CI 1.13-1.39), effort expectancy (OR 1.23, 95% CI 1.07-1.39), and perceived privacy and security (OR 1.30, 95% CI 1.17-1.43); (2) their performance expectancy was predicted by their effort expectancy (OR 1.38, 95% CI 1.24-1.52); and (3) their effort expectancy was predicted by their self-efficacy (OR 1.55, 95% CI 1.42-1.68). In phase 2, a total of 6 men and 9 women aged between 65 and 87 years participated in the qualitative observation study. Of the primary themes, 5 themes were identified that could provide greater understanding of older people’s capacities and incapacities in using digital technology: (1) “self-efficacy and digital literacy,” (2) “obstacles to using technology,” (3) “prior experience and frequency of use,” (4) “sources of support and facilitating conditions,” and (5) “performance expectancy.” These 5 themes recurred in all 15 observations.

Conclusions

Performance expectancy, effort expectancy, and perceived privacy and security are direct predictors of older people’s intention to use videoconferencing. Self-efficacy appeared to play a role in both older people’s intention to use, as well as their actual use of technology. The path analysis revealed that self-efficacy was significantly associated with older people’s effort expectancy. Furthermore, self-efficacy and digital literacy appeared to play a major role in older people’s capacities to make use of digital technology.

Aging barriers influencing mobile health usability for older adults: A literature based framework (MOLD-US)

BACKGROUND

With the growing population of older adults as a potential user group of mHealth, the need increases for mHealth interventions to address specific aging characteristics of older adults. The existence of aging barriers to computer use is widely acknowledged. Yet, usability studies show that mHealth still fails to be appropriately designed for older adults and their expectations. To enhance designs of mHealth aimed at older adult populations, it is essential to gain insight into aging barriers that impact the usability of mHealth as experienced by these adults.

OBJECTIVES

This study aims to synthesize literature on aging barriers to digital (health) computer use, and explain, map and visualize these barriers in relation to the usability of mHealth by means of a framework.

METHODS

We performed a scoping review to synthesize and summarize reported physical and functional age barriers in relation to digital (mobile) health applications use. Aging barriers reported in the literature were mapped onto usability aspects categorized by Nielsen to explain their influence on user experience of mHealth. A framework (MOLD-US) was developed summarizing the evidence on the influence of aging barriers on mHealth use experienced by older adults.

RESULTS

Four key categories of aging barriers influencing usability of mHealth were identified: cognition, motivation, physical ability and perception. Effective and satisfactory use of mHealth by older adults is complicated by cognition and motivation barriers. Physical ability and perceptual barriers further increase the risk of user errors and fail to notice important interaction tasks. Complexities of medical conditions, such as diminished eye sight related to diabetes or deteriorated motor skills as a result of rheumatism, can cause errors in user interaction.

CONCLUSIONS

This research provides a novel framework for the exploration of aging barriers and their causes influencing mHealth usability in older adults. This framework allows for further systematic empirical testing and analysis of mHealth usability issues, as it enables results to be classified and interpreted based on impediments intrinsic to usability issues experienced by older adults. Importantly, the paper identifies a key need for future research on motivational barriers impeding mhealth use of older adults. More insights are needed in particular to disaggregating normal age related functional changes from specific medical conditions that influence experienced usefulness of mHealth by these adults.

Enhancing ICT infrastructure in public services

Purpose

The purpose of this paper is to investigate the factors which influence mobile government (m-government) services adoption in India.

Design/methodology/approach

Adoption behavior of m-government services by 311 respondents is probed by using a multiple set of constructs drawn from technology acceptance model (TAM), unified theory of acceptance and use of technology (UTAUT), theory of planned behavior (TPB) and hierarchical regression analysis. Specifically, eight hypotheses were tested around constructs like Perceived Usefulness (PU), Perceived Ease of Use (EOU), Compatibility (COM), Trust (T), Influence (I), Self-Efficacy (SE), Facilitating Conditions (FC), Attitude (ATT) and Behavioral Intention to Adopt m-government services (BI).

Findings

Results show that PU, EOU, T and ATT were found to have significant influence on the adoption of m-government services. Furthermore, demographic variables (age, marital status, occupation, educational qualification and frequency of using m-government services) were not found to be significant predictors for the adoption of m-government services in India.

Originality/value

While most of the technology adoption studies are focused on commercial activities, studies on internet interfaces vis-à-vis the public services are limited to investigation of e-government services. Besides, there are more studies contextualized in the developed countries as compared to developing countries. Academic research on m-government adoption is scant and the present paper is a significant contribution in the Indian context.

Older adults' acceptance of a robot for partner dance-based exercise

Partner dance has been shown to be beneficial for the health of older adults. Robots could potentially facilitate healthy aging by engaging older adults in partner dance-based exercise. However, partner dance involves physical contact between the dancers, and older adults would need to be accepting of partner dancing with a robot. Using methods from the technology acceptance literature, we conducted a study with 16 healthy older adults to investigate their acceptance of robots for partner dance-based exercise. Participants successfully led a human-scale wheeled robot with arms (i.e., a mobile manipulator) in a simple, which we refer to as the Partnered Stepping Task (PST). Participants led the robot by maintaining physical contact and applying forces to the robot's end effectors. According to questionnaires, participants were generally accepting of the robot for partner dance-based exercise, tending to perceive it as useful, easy to use, and enjoyable. Participants tended to perceive the robot as easier to use after performing the PST with it. Through a qualitative data analysis of structured interview data, we also identified facilitators and barriers to acceptance of robots for partner dance-based exercise. Throughout the study, our robot used admittance control to successfully dance with older adults, demonstrating the feasibility of this method. Overall, our results suggest that robots could successfully engage older adults in partner dance-based exercise.

User-Centered Evaluations with Older Adults: Testing the Usability of a Mobile Health System for Heart Failure Self-Management

Many older adults living with heart failure struggle to follow recommended self-management routines. To help older adults with heart failure more effectively and efficiently self-manage their disease, we developed Engage, a mobile health application promoting the performance, logging, and sharing of routine self-management behaviors. This paper reports on the usability evaluation of the Engage system with 15 older adults with heart failure and informal caregivers. In two phases, participants used Engage during a task-based usability test (n=5) and a scenario-based usability test (n=10). Usability and performance data were assessed through video-recorded observation and the administration of the system usability scale (SUS) and NASA Task Load Index (TLX). We found that task-based testing was useful in quickly identifying problems within our application, but scenario-based testing elicited more valuable feedback from older adults. A comparison of the different evaluation methods used and the discussion of the challenges encountered provide multiple implications for the practice of usability testing of mobile health products with older adults.

Everyday Functioning Benefits from an Assisted Living Platform amongst Frail Older Adults and Their Caregivers

Ambient assisted living technologies (AAL) are regarded as a promising solution to support aging in place. Yet, their efficacy has to be demonstrated in terms of benefits for independent living and for work conditions of caregivers. Hence, the purpose of this study was to assess the benefits of a multi-task AAL platform for both Frail older Individuals (FIs) and professional caregivers with respect to everyday functioning and caregiver burden. In this context, a 6-month field study involved 32 FIs living at home (half of them were equipped by the platform and the remaining half were not, as a control condition) and their caregivers. Everyday functioning measures were reported by frail participants and caregivers. Self-reported burden measures of caregiver were also collected. The main results showed that the caregiver's estimates of everyday functioning of equipped participants were unchanged across time, while they decreased for the control participants. Also, a reduction of self-reported objective burden was obtained after 6 months of AAL intervention for the equipped group, compared to the control group. Overall, these results highlighted the potential of AAL as a relevant environmental support for preventing both functional losses in FIs and objective burden professional caregiver.

Origins and consequences of technology acquirement by independent-living seniors: towards an integrative model

Background

Living independently can be challenging for seniors. Technologies are expected to help older adults age in place, yet little empirical research is available on how seniors develop a need for technologies, how they acquire these technologies, and how these subsequently affect their lives. Aging is complex, dynamic and personal. But how does this translate to seniors’ adoption and acceptance of technology? To better understand origins and consequences of technology acquirement by independent-living seniors, an explorative longitudinal qualitative field study was set up.

Methods

Home visits were made to 33 community-dwelling seniors living in the Netherlands, on three occasions (2012–2014). Semi-structured interviews were conducted on the timeline of acquirements, and people and factors involved in acquirements. Additionally, participants were interviewed on experiences in using technologies since acquirement. Thematic analysis was employed to analyze interview transcripts, using a realist approach to better understand the contexts, mechanisms and outcomes of technology acquirements.

Results

Findings were accumulated in a new conceptual model: The Cycle of Technology Acquirement by Independent-Living Seniors (C-TAILS), which provides an integrative perspective on why and how technologies are acquired, and why these may or may not prove to be appropriate and effective, considering an independent-living senior’s needs and circumstances at a given point in time. We found that externally driven and purely desire-driven acquirements led to a higher risk of suboptimal use and low levels of need satisfaction.

Conclusions

Technology acquirement by independent-living seniors may be best characterized as a heterogeneous process with many different origins, pathways and consequences. Furthermore, technologies that are acquired in ways that are not congruent with seniors’ personal needs and circumstances run a higher risk of proving to be ineffective or inappropriate. Yet, these needs and circumstances are subject to change, and the C-TAILS model can be employed to better understand contexts and mechanisms that come into play.