A grounded theory study to explore the digital gameplay experiences of adolescents at risk of addiction in Turkey

PURPOSE

This study aimed to explore the experiences of adolescents at risk of digital game addiction in Turkey.

DESIGN AND METHODS

Guided by a grounded theory design, data were collected from 14 adolescents through one-on-one in-depth interviews between January and April 2021. Simultaneous data collection and analysis involved theoretical sampling, constant comparison, and memo writing. Open, axial, and selective coding were used in data analysis, while analytic coding identified the core category and subcategories and provided the foundation for the substantive theory.

RESULTS

The core category, "I want to limit my time playing digital games, but I need the support of my family to do so," demonstrated the adolescents' awareness of their situation. The analysis yielded an interpretive theory comprising three inter-related categories: causal factors, effects on life, and solution pathways.

CONCLUSIONS

The participants' reasons for playing digital games included meeting their need for socialization and passing the time. However, digital gaming affects adolescents physically, psychosocially, and culturally. Solutions include early childhood education and family support, which can significantly reduce the risk of digital game addiction.

PRACTICE IMPLICATIONS

Preventing digital game addiction is an important goal, and identifying risks contributing to digital game addiction is fundamental to establishing preventive measures. This study's findings may increase awareness of the subject for teachers, school nurses, and parents. Among the potential remedial measures are future studies focused on preventing digital game addiction and adding instruction to school curricula regarding necessary and beneficial uses of digital technologies.

University students’ views on the impact of Instagram on mental wellbeing: a qualitative study

Background

In the UK, undergraduate students are considered highly susceptible to mental ill-health, with current figures indicating a 94% increase in the demand for university counselling services in the last five years alone. Whilst the cause of this increase is currently undetermined, current evidence speculates that social media may be a contributing factor. Recent quantitative literature has determined that Instagram can negatively impact mental wellbeing. However, limited studies have been conducted among undergraduate student students, a population with the highest proportion of Instagram use by age, compared to the general public. Furthermore, no current research has qualitatively explored how and why Instagram has an impact on mental wellbeing. This study therefore aimed to identify UK university students’ understanding of the term ‘mental wellbeing’ and explore university students’ views on the impact of Instagram on their mental wellbeing.

Methods

16 undergraduate students (56.3% female, mean age 19.8 years, age range 18–23 years) who were fluent in English and used Instagram took part in semi-structured interviews. Participants were excluded if they no longer used Instagram or were unable to give written informed consent. Thematic analysis was utilised to identify codes and themes within the dataset.

Results

Five key themes were identified; knowledge of mental wellbeing, social connectivity, the Instagram ideal, social acceptance through quantitative data and cyberbullying. Students had a basic understanding of the term mental wellbeing and correctly associated productivity and accepting life’s adversities with the term. However, students often misinterpreted happiness and good mental health as a state of wellbeing. Whilst students perceived Instagram as positive for the development and maintenance of friendships, they also believed Instagram negatively impacted their wellbeing through the presentation of ideals, the presence of cyberbullying and the search for social acceptance.

Conclusions

This research reveals multiple implications for Instagram use on the mental wellbeing of undergraduate students. It is therefore essential for university counselling services to address Instagram use in consultations with students. Further research exploring the extent of cyberbullying on Instagram and the effects of presenting an idealistic life on wellbeing is necessary.

Human-Computer Interaction in Digital Mental Health

Human-computer interaction (HCI) has contributed to the design and development of some efficient, user-friendly, cost-effective, and adaptable digital mental health solutions. But HCI has not been well-combined into technological developments resulting in quality and safety concerns. Digital platforms and artificial intelligence (AI) have a good potential to improve prediction, identification, coordination, and treatment by mental health care and suicide prevention services. AI is driving web-based and smartphone apps; mostly it is used for self-help and guided cognitive behavioral therapy (CBT) for anxiety and depression. Interactive AI may help real-time screening and treatment in outdated, strained or lacking mental healthcare systems. The barriers for using AI in mental healthcare include accessibility, efficacy, reliability, usability, safety, security, ethics, suitable education and training, and socio-cultural adaptability. Apps, real-time machine learning algorithms, immersive technologies, and digital phenotyping are notable prospects. Generally, there is a need for faster and better human factors in combination with machine interaction and automation, higher levels of effectiveness evaluation and the application of blended, hybrid or stepped care in an adjunct approach. HCI modeling may assist in the design and development of usable applications, and to effectively recognize, acknowledge, and address the inequities of mental health care and suicide prevention and assist in the digital therapeutic alliance.

Duration, frequency, and time distortion: Which is the best predictor of problematic smartphone use in adolescents? A trace data study

Problematic smartphone use (PSU) during adolescence has been associated with negative short- and long-term consequences for personal well-being and development. Valid and reliable predictors and indicators of PSU are urgently needed, and digital trace data can add valuable information beyond self-report data. The present study aimed to investigate whether trace data (duration and frequency of smartphone use), recorded via an app installed on participants’ smartphone, are correlated with self-report data on smartphone use. Additionally, the present study aimed to explore which usage indicators, i.e., duration, frequency, and time distortion of smartphone use, better predict PSU levels cross-sectionally and longitudinally, one year later. Results from a sample of 84 adolescents showed that adolescents tend to rely on the frequency of smartphone use when reporting on the time they spent with the smartphone. Traced duration of smartphone use as well as time distortion, i.e., over-estimation, are significant predictors of PSU. Methodological issues and theoretical implications related to predictors and indicators of PSU are discussed.

A Comprehensive Review of the Technological Solutions to Analyse the Effects of Pandemic Outbreak on Human Lives

A coronavirus outbreak caused by a novel virus known as SARS-CoV-2 originated towards the latter half of 2019. COVID-19’s abrupt emergence and unchecked global expansion highlight the inability of the current healthcare services to respond to public health emergencies promptly. This paper reviews the different aspects of human life comprehensively affected by COVID-19. It then discusses various tools and technologies from the leading domains and their integration into people’s lives to overcome issues resulting from pandemics. This paper further focuses on providing a detailed review of existing and probable Artificial Intelligence (AI), Internet of Things (IoT), Augmented Reality (AR), Virtual Reality (VR), and Blockchain-based solutions. The COVID-19 pandemic brings several challenges from the viewpoint of the nation’s healthcare, security, privacy, and economy. AI offers different predictive services and intelligent strategies for detecting coronavirus signs, promoting drug development, remote healthcare, classifying fake news detection, and security attacks. The incorporation of AI in the COVID-19 outbreak brings robust and reliable solutions to enhance the healthcare systems, increases user’s life expectancy, and boosts the nation’s economy. Furthermore, AR/VR helps in distance learning, factory automation, and setting up an environment of work from home. Blockchain helps in protecting consumer’s privacy, and securing the medical supply chain operations. IoT is helpful in remote patient monitoring, distant sanitising via drones, managing social distancing (using IoT cameras), and many more in combating the pandemic. This study covers an up-to-date analysis on the use of blockchain technology, AI, AR/VR, and IoT for combating COVID-19 pandemic considering various applications. These technologies provide new emerging initiatives and use cases to deal with the COVID-19 pandemic. Finally, we discuss challenges and potential research paths that will promote further research into future pandemic outbreaks.

Videoconference Fatigue: A Conceptual Analysis

Videoconferencing (VC) is a type of online meeting that allows two or more participants from different locations to engage in live multi-directional audio-visual communication and collaboration (e.g., via screen sharing). The COVID-19 pandemic has induced a boom in both private and professional videoconferencing in the early 2020s that elicited controversial public and academic debates about its pros and cons. One main concern has been the phenomenon of videoconference fatigue. The aim of this conceptual review article is to contribute to the conceptual clarification of VC fatigue. We use the popular and succinct label "Zoom fatigue" interchangeably with the more generic label "videoconference fatigue" and define it as the experience of fatigue during and/or after a videoconference, regardless of the specific VC system used. We followed a structured eight-phase process of conceptual analysis that led to a conceptual model of VC fatigue with four key causal dimensions: (1) personal factors, (2) organizational factors, (3) technological factors, and (4) environmental factors. We present this 4D model describing the respective dimensions with their sub-dimensions based on theories, available evidence, and media coverage. The 4D-model is meant to help researchers advance empirical research on videoconference fatigue.

Students’ and Examiners’ Experiences of Their First Virtual Pharmacy Objective Structured Clinical Examination (OSCE) in Australia during the COVID-19 Pandemic

Objective Structured Clinical Examinations (OSCEs) are routinely used in healthcare education programs. Traditionally, students undertake OSCEs as face-to-face interactions to assess competency in soft skills. Due to physical distancing restrictions during COVID-19, alternative methods were required. This study utilized a mixed-method design (online survey and interviews) to evaluate second-year pharmacy students’ and examiners’ experiences of their first virtual OSCEs in Australia. A total of 196 students completed their first virtual OSCE in June 2020 of which 190 students completed the online survey. However, out of the 190 students, only 88% (n = 167) consented to the use of the data from their online survey. A further 10 students and 12 examiners were interviewed. Fifty-five students (33%) who participated in the online survey strongly agreed or agreed that they preferred the virtual experience to face-to-face OSCEs while 44% (n = 73) neither agreed nor disagreed. Only 20% (n = 33) felt more anxious with the virtual OSCEs. Additionally, thematic analysis found non-verbal communication as a barrier during the OSCE. Positive aspects about virtual OSCEs included flexibility, decreased levels of anxiety and relevance with emerging telehealth practice. The need for remote online delivery of assessments saw innovative ways of undertaking OSCEs and an opportunity to mimic telehealth. While students and examiners embraced the virtual OSCE process, face-to-face OSCEs were still considered important and irreplaceable. Future opportunities for OSCEs to be delivered both face-to-face and virtually should be considered.

Relying on Technology for Countering Academic Dishonesty: The Impact of Online Tutorial on Students’ Perception of Academic Misconduct

Over the last several decades, the issue of academic integrity has emerged as one of the major concerns of higher education institutions throughout the world. Amongst different strategies for combating academic dishonesty, educational interventions in the form of online tutorials are becoming increasingly popular. In this paper, we empirically examine, using a sample of Montenegrin students and the matching method, the relation between online tutorials and four forms of student misconduct, namely cheating, plagiarism, fabrication or falsification, and aiding and abetting academic dishonesty. In addition, we examine whether students that received the certificate after passing an academic integrity test in online tutorial perceived different forms of academic misconduct more seriously than students who participated in the online tutorial but did not receive the certificate. Our results indicate that online tutorial can be useful for enhancing students’ awareness of certain types of academic dishonesty (cheating, fabricating/falsifying, and aiding/abetting), while for others (plagiarism), it remains ineffective. Similarly, we found that getting a certificate after completing tutorial did not amplify students’ attitudes towards certain dishonest behaviors (cheating or fabrication/falsification), but it enhanced students’ perceived seriousness of plagiarism and aiding/abetting dishonesty. The result of this analysis may have important implications for university managers and policy makers when designing strategies for combating particular types of dishonesty in academia.

Impact of conspiracist ideation and psychotic-like experiences in patients with schizophrenia during the COVID-19 crisis

Conspiratorial belief is a type of argument that accepts implausible explanations in situations of great uncertainty or mystery. Claiming that the coronavirus is an artificial fabrication of laboratories is an example of conspiracist belief. The aim of this research was to analyze the impact of conspiracist ideation and psychotic-like experiences in patients with schizophrenia, patients with other mental disorders, and participants with no psychiatric history with a 132-day follow-up during the COVID-19 crisis. Analysis of variance (ANOVA) was applied and Bayesian inferences were carried out. The results conclude that conspiracist ideation and psychotic-like experiences increased significantly after 132 days of social-health restrictions in the general population. However, psychotic-like experiences did not increase in patients with schizophrenia. Conspiracist ideation has a quantitative degradation similar to the continuum model of psychosis; it is present both in patients with schizophrenia and in those participants with no clinical history. The psychopathological value of conspiracist ideation within the spectrum of psychosis is discussed.

Research on the Influence of Visual Factors on Emotion Regulation Interaction

To guide the design direction of emotion regulation products that improve the positive emotions of users, investigation into the correlation between relevant visual factors and multi-dimensional complex emotions is needed. In the present study, an extended product emotion measurement method was adopted to describe the multi-dimensional emotional set of each influencing factor and calculate their weight according to the order. The positive and negative emotion indicators of all influencing factors were compared and the evaluation and ranking factors that affect users’ emotional value of emotion regulation products were analyzed. The experimental results reveal that specific emotion mapping scenes on positive emotion are the most significant among the key factors affecting user emotion. Further, the influence of emotional stickers, interactive data visualization, and text on positive emotions decreased in turn. The influence of emotional text on positive emotion was the lowest. Through investigating the visual factors that affect the psychological emotions of users, the development of emotion regulating products could be guided in a more scientific and reasonable manner.

Dynamics of adolescents' smartphone use and well-being are positive but ephemeral

Well-being and smartphone use are thought to influence each other. However, previous studies mainly focused on one direction (looking at the effects of smartphone use on well-being) and considered between-person effects, with self-reported measures of smartphone use. By using 2548 assessments of well-being and trace data of smartphone use collected for 45 consecutive days in 82 adolescent participants (Mage = 13.47, SDage = 1.62, 54% females), the present study disentangled the reciprocal and individual dynamics of well-being and smartphone use. Hierarchical Bayesian Continuous Time Dynamic Models were used to estimate how a change in frequency and duration of smartphone use predicted a later change in well-being, and vice versa. Results revealed that (i) when participants used the smartphone frequently and for a longer period, they also reported higher levels of well-being; (ii) well-being positively predicted subsequent duration of smartphone use; (iii) usage patterns and system dynamics showed heterogeneity, with many subjects showing reciprocal effects close to zero; finally, (iv) changes in well-being tend to persist longer than changes in the frequency and duration of smartphone use.

Assessment of biomedical engineering knowledge using true-false questions

The COVID-19 pandemic has caused a shift from on-campus to remote online examinations, which are usually difficult to invigilate. Meanwhile, closed-ended question formats, such as true–false (TF), are particularly suited to these examination conditions, as they allow automatic marking by computer software. While previous studies have reported the score characteristics in TF questions in conventional supervised examinations, this study investigates the efficacy of using TF questions in online, unsupervised examinations at the undergraduate level of Biomedical Engineering. We examine the TF and other question-type scores of 57 students across three examinations held in 2020 under online, unsupervised conditions. Our analysis shows significantly larger coefficient of variance (CV) in scores in TF questions (42.7%) than other question types (22.3%). The high CV in TF questions may be explained by different answering strategies among students, with 13.3 ± 17.2% of TF questions left unanswered (zero marks) and 16.4 ± 11.5% of TF questions guessed incorrectly (negative marks awarded). In unsupervised, open-book examination where sharing of answers among students is a potential risk; questions that induce a larger variation in responses may be desirable to differentiate among students. We also observed a significant relationship (r = 0.64, p < 0.05) between TF scores and the overall subject scores, indicating that TF questions are an effective predictor of overall student performance. Our results from this initial analysis suggests that TF questions are useful for assessing biomedical-theme content in online, unsupervised examinations, and are encouraging for their ongoing use in future assessments.

Recommended Instruments for Analyzing Cyber Dating Violence: A Systematic Review

Cyber dating violence is an emerging form of dating violence that may have serious health effects on adolescents and young people, and in recent years interest in its study has increased. In order to understand completely the nature and magnitude of the problem, a clear understanding of the concept, constructs and well-established measurement tools are needed. The goal of this study was to analyze the measurement instruments of cyber dating violence in adolescents and young adults, and to determine which are the best suitable to use. To accomplish these objectives a systematic review was carried out. After reviewing the literature, twenty-four measurement instruments were analyzed, with important differences found between them in terms, constructs, dimensions and measurement attributes, as well as differences in their assessed psychometric properties. Once the methodological quality evaluation of the instruments was carried out following COSMIN (COnsensus based Standards for the selection of health Measurement Instruments) guidelines, three scales were found to be recommendable depending on the age and cultural context of participants: Cyber Dating Abuse Questionnaire (Borrajo, Gámez-Guadix, Pereda, et al., 2015), Technology-facilitated Abuse in Relationships Scale (Brown & Hegarty, 2021), and Abuse in Teen Relationships (CARPA; Calvete et al., 2021).

Predictors of Social Media Use in Two Family Generations

Older adults have recently begun to adopt social media in increasing numbers. Even so, little is known about the factors influencing older adults' social media adoption. Here, we identify factors that predict the use of social media among older adults (aged 68-73) and compare them to those of their adult children (aged 19-56) using population-based data from Finland. As predictors for social media use, we utilized demographic factors as well as characteristics of the respondents' social lives. In addition, we test whether social media use in older adults is predicted by the social media use of their adult children. The data used in this study uniquely enable the study of this question because actual parent-child dyads are identifiable. In both generations, women and those with higher education were more likely to use social media. Predictors specific to men of the older generation were being divorced and younger, and predictors specific to women of the older generation were having better health and more frequent contact with friends. A higher number of children predicted use in both men and women in the older generation. As for the younger generation, specific predictors for social media use in women were younger age, divorce, higher number of children, and more frequent contact with friends. For men in the younger generation, there were no significant predictors for social media use besides higher education, which predicted social media use in all groups. Finally, social media use in a parent representing the older generation was predicted by the social media use of their adult children. This study provides novel information on the predictors of the use of social media in two family generations.

Role of personality traits in collaborative group works at flipped classrooms

The Flipped Classroom (FC) approach is an important model for individualizing teaching, improving motivation, interaction, and increasing academic performance in a student-centered learning environment. However, at FC, not all students benefit equally from teaching opportunities. There may be important individual differences that affect their academic performance. The relationship between personality traits and academic performance in the FC model in which collaborative group studies are carried out is important for the design of individualized learning environments. In this context, the aim of this study is to research the relationship between academic success and personality traits within a collaborative flipped classroom model. Additionally, in this study, the differentiation of the relationship between academic success and personality traits according to gender, motivation, engagement, and interaction variables were examined. In this research, relational screening model was utilized. The application was achieved through the participation of 167 students for a 14-week period in Turkey. In the research, self-description form and data collection instruments were utilized. At the end of this research, Extraversion from personality traits is the strongest predictor of academic performance in FC. According to descriptive statistics, it was found that female students scored higher in FC settings for extraversion, and male students had higher scores for openness than other structures. In addition, it was found that the motivation scores of women and engagement scores of men were prominent. It was observed that the openness personality of the students with low motivation and the agreeableness of the students with high motivation is more dominant than the other personality structures. Students with the low level of engagement had the highest openness, and those with high agreeableness scores were the highest. The students with the low level of interaction had the highest openness scores, while those with high levels of interaction had the highest conscientiousness. While personality traits and academic achievements of students differed significantly according to gender, motivation and interaction levels, no significant difference was found according to engagement levels. The results reached in this study will guide the applicators about how the students become more ready to learn based on the personality traits of the classroom in which the FC model was utilized.

Adaptation of the European Portuguese Version of the Nomophobia Questionnaire for Adolescents, Factor Structure and Psychometric Properties

Nomophobia can be defined as a digital age phobia consisting of an excessive fear of being without a smartphone. Nomophobia negatively impacts physical and mental health, particularly in children and adolescents. This study aimed to test the factor structure and psychometric properties of the European Portuguese version of the Nomophobia Questionnaire for Adolescents (NMP-Q-A). Sample 1 comprised 338 adolescents (58.6% girls), with a mean age of 13.55 (SD = 2.07) years old, and was used to examine the factor structure of the NMP-Q-A, its psychometric properties and the association with other constructs. Sample 2 included 193 adolescents (53.9% boys), with a mean age of 13.61 (SD = 0.80) years old and was used to further test the NMP-Q-A factor structure. One higher-order factor with four lower-order factors structure revealed a good fit to the data in both samples. The NMP-Q-A showed good reliability, construct and concurrent validity. Girls showed higher nomophobia. Adolescents showing more nomophobia revealed more smartphone addiction and psychopathological symptoms and lower quality of life. The NMP-Q-A showed to be a valid and reliable measure to be used in clinical and educational settings.

Is There a Relationship Between Youth Bullying and Internet Addiction? An Integrative Review

Youth bullying is a global public health problem; Internet addiction is on the rise globally among youths. Because the linkage between these behaviors has not been clearly explicated, this integrative review evaluated the relevant empirical evidence. A search of five electronic databases identified 2,761 original citations published between January 2000 and May 2019. After further abstract screening and detailed evaluation of 262 full-text articles, the final sample consisted of 14 prospective descriptive studies representing 10 countries. Review results clearly established that the relationship between bullying and Internet addiction is firmly supported; less is known as to the contribution of gender, age, and other demographic variables, their impact on health outcomes, problematic behaviors, and the role of parental mediation. Inconsistent definitions and instrumentation and lack of sophisticated study designs limited the synthesis of findings. Future research is needed to explicate these relationships, so data-driven interventions can be developed.

Statistical indicators of compliance with anti-COVID-19 public health measures at European airports

International travel and the infrastructures involved are key elements in controlling and predicting the number of infections by an infectious disease (specifically COVID-19 cases). This research presents the rates or percentages of compliance with COVID-19 mitigation measures at several international airports in Europe (Madrid, Dublin, Paris-Charles de Gaulle, Zurich, Barcelona, and Bilbao). A structured survey called the COVID-19 Measures Implementation Rate at Airports (MIRA) was developed. First, the validity and reliability of the measurements obtained by MIRA were analyzed. A total of 1239 volunteers (passengers, cabin crew, and ground crew) participated in the study and answered the MIRA questionnaire. Second, once the validity and reliability of the measurements were assured, the rates or percentages of cases that observed compliance with the mitigation measures were calculated. The results indicated that participants perceived a low degree of compliance with sanitary measures in their international travel (the proportions ranged from 52.6% to 59%). The airports with the highest compliance with mitigation measures were the Dublin (with a rate of 70%) and Zurich airports (with a rate of 69.1%). In conclusion, the percentages could be low due to the ineffective implementation of some of the mitigation measures. The low percentages are not related to the health measures themselves. The implications of mitigation measures for containing the transmission of infectious diseases such as COVID-19 are discussed.

The Cultural Influence of Control Sharing in Autonomous Driving:

This research investigated the cross-cultural perspectives on control-sharing in ethical decision-making when both human and AI-enabled auto-driven vehicles to involve. We reviewed the current practices. We then illustrated a survey we conducted related to this topic on a total of 771 subjects from three nations, the U.S., India, and Nigeria. We found participants from individualistic culture tend to emphasize personal choice and human control. We also found though most subjects prefer human drivers to take full control, India's subjects were more ambivalent in their attitude due to lower uncertainty avoidance. Also, subjects with higher incomes were more likely to cede control. There was consistent proportional distribution across nations in the control sharing configuration, with 2/3 chose full customization, and 1/3 chose limited customization. Car owners are more likely to have more control and full customization. Our findings shed important insights on both research in this domain and industry practitioners.

The usage of instagram app on the example of young consumers of the generation Z

The popularity of social media continues to grow. Many statistics report that mostly young people spend the highest amount of time on social networking sites. The purpose of the paper is to present results of the study on respondents' browsing and content publishing behavior on the Instagram platform. The author focused on several available forms, such as posts, stories, IGTV, live. The study focused on young consumers, belonging to generation Z. The author mainly researched how much time does the young generation spend on Instagram platform, which form is more preferred among respondents, in context of viewing or creating content by them. Moreover the study also focused on differences in the use of Instagram app among generation Z based on gender, education and place of residence. The study showed that the representatives of the mentioned generation prefer both viewing and adding primarily stories, and secondarily posts. Neither IGTV nor live are of much interest. Recipients are reluctant to view or create this type of content.

Associations of depressive symptoms and perceived social support with addictive use of social media among elderly people in Turkey

BACKGROUND

The aim of this study was to investigate the relationship of addictive use of social media (AUSM) with depressive symptoms, perceived social support and demographic variables among people aged 65 years and older.

METHODS

People aged 65 years and older who use social media constituted the study sample. The data were obtained from social networking sites via Google survey link. Bergen social media addiction scale (BSMAS) for determining AUSM, Multidimensional Scale of Social Support for determining social support, Geriatric Depression Scale to identify depressive symptoms and sociodemographic data form were administered to the participants.

RESULTS

The mean age of the sample was 68.86 ± 2.0 years. AUSM showed significant differences depending on gender, marital status, economic status, educational level, settlement, occupation, and time spent in social media (P = 0.00). AUSM had correlations with both sub-dimensions of perceived social support and depressive symptoms (P < 0.01). In the regression analysis, it was found that the depressive symptoms, social support from family (P = 0.00) and from a significant other (P = 0.001) had significant effects on AUSM.

CONCLUSIONS

When evaluating elderly individuals with depressive symptoms, it is important to evaluate these individuals in terms of social media addiction. Interventions to improve social support systems, especially for older people with little perceived social support can help prevent the development of AUSM.

Exploring healthcare professionals' perceptions of artificial intelligence: Piloting the Shinners Artificial Intelligence Perception tool

Objective

There is an urgent need to prepare the healthcare workforce for the implementation of artificial intelligence (AI) into the healthcare setting. Insights into workforce perception of AI could identify potential challenges that an organisation may face when implementing this new technology. The aim of this study was to psychometrically evaluate and pilot the Shinners Artificial Intelligence Perception (SHAIP) questionnaire that is designed to explore healthcare professionals’ perceptions of AI. Instrument validation was achieved through a cross-sectional study of healthcare professionals (n = 252) from a regional health district in Australia.

Methods and Results

Exploratory factor analysis was conducted and analysis yielded a two-factor solution consisting of 10 items and explained 51.7% of the total variance. Factor one represented perceptions of ‘Professional impact of AI’ (α = .832) and Factor two represented ‘Preparedness for AI’ (α = .632). An analysis of variance indicated that ‘use of AI’ had a significant effect on healthcare professionals’ perceptions of both factors. ‘Discipline’ had a significant effect on Allied Health professionals’ perception of Factor one and low mean scale score across all disciplines suggests that all disciplines perceive that they are not prepared for AI.

Conclusions

The results of this study provide preliminary support for the SHAIP tool and a two-factor solution that measures healthcare professionals’ perceptions of AI. Further testing is needed to establish the reliability or re-modelling of Factor 2 and the overall performance of the SHAIP tool as a global instrument.

Digital Resilience Among Individuals in School Education Settings: A Concept Analysis Based on a Scoping Review

BACKGROUND

Nowadays, in an informational society, digital technologies are present in most areas of life, including school education fields. Students encounter risks or threats during online experiences. Digital resilience helps individuals recognize and manage the risks and threats they come across when they socialize, explore, or work online and plays an important role in the digital technology challenges. However, so far, the concept of digital resilience among individuals in the educational field has not been analyzed in detail.

OBJECTIVES

The purpose of this study is to clarify the concept of digital resilience among students in a school education context, describe antecedents and consequences, and suggest a conceptual model for health educators.

METHODS

Walker and Avants' concept analysis method and standards of the scoping review were used to clarify the attributes, antecedents, and consequences from the included articles. A thematic analysis approach of literature was utilized to describe the study findings. No date limitations were applied.

RESULTS

A total of 22 included articles provided data for digital resilience conceptualization. Five defining attributes for the concept were identified as follows: (1) understanding online threats; (2) knowing solutions; (3) learning knowledge and skills; (4) recovering from stress; and (5) moving forward through self-efficacy. Antecedents included digital technology-related threats influenced by individual external and internal factors. Consequences were divided into two categories: behavioral performance and psychosocial functioning.

CONCLUSION

Based on the results of the concept analysis, a preliminary conceptual model of digital resilience was described as a circular process toward greater performance and function in the form of understanding, knowing, learning, recovering, and moving forward, when facing stressors, challenges, or adversity. The conceptual model of digital resilience can be further tested and may inform the enhancement of digital-specific resilience measures and interventions for students.

Mobile phone addiction is associated with impaired cognitive reappraisal and expressive suppression of negative emotion

Previous studies have demonstrated people characterized by mobile phone addiction (MPA) are more prone to emotion regulation difficulties. However, no study has tested the effectiveness of their emotion regulation strategies in experimental conditions. In the present study, by instructing the MPA and control groups to regulate negative emotion through cognitive reappraisal (CR) or expressive suppression (ES), we compared their emotional states in the emotional visual search task after watching a negative emotion evoked video. A multi-factor mixed design of 2(group: MPA/control)×2(emotion regulation strategy: CR/ES)×3(image type: positive expression/negative expression/neutral expression) was conducted. We found the MPA group recognized the negative expression faster than control group after both emotion regulation strategies, indicating ES and CR were both impaired for MPA. The implications of these results were further discussed.

Disconnect to Connect to Different Age Group Customers

The present study aimed to identify the inabilities of service firms to connect to different age group customers whilst the era of smart technologies. Despite various service innovations customer services seem to be worsening across the world. It is imperative to understand different age group customers' experiences while using smart technologies to address current customer strategies and practices in the service sector. The study adopted the CIT method to collect participants’ experiences who were using smart technologies in various service settings. The study indicates that how staff and top management personnel of service firms are using smart technologies as a shield to avoid human contact with their customers presently. Additionally, the study highlights the relevance of people, empathy, and interactive marketing practices for improving services even in the era of smart technologies. It means that service firms should connect more and more customers through various smart technologies but get themselves disconnected from these technologies to keep a direct human interaction.

Assessment of factors influencing the patient's perception of teledentistry services

Background/Aim: The trend of using teledentistry increased significantly during the pandemic. Many studies have analysed patients' perceptions of teledentistry, but no studies have examined the factors that influence these perceptions. Aim of this study was to determine the factors that influenced the patient's perception of teledentistry. Methods: This type of research was a descriptive analysis with a cross sectional design. A total of 170 respondents filled out a questionnaire containing sociodemographic data and statements with a Likert scale related to the five perceptual domains of teledentistry. The data were analysed for correlation test with SPSS and model test with SEM-PLS. Results: There were only two factors, namely age and level of education that appear as factors that affect the patient's perception with a correlation significance value of 0.001 for age and 0.005 for education. The value of the correlation coefficient was positive, which means that the higher the age and level of education, there was a greater tendency for perceived value to be more strongly agreed. These results were reinforced by the results of the coefficient values on the SEM-PLS model test which were positive and significant, namely 0.311. The results of the goodness of fit analysis in this study were in the moderate category with a value of 0.265. However, the imbalance in the number of respondents in each sociodemographic group makes the results of this study less representative. Conclusion: There was a significant positive correlation between the level of education and the perception of teledentistry. This means that the higher a person's education level, the better his perception of teledentistry. Age had a significant positive correlation and influence with the patient's perception of teledentistry.

Enhancing academic integrity in a UAE safety, security defence emergency management academy – the Covid- 19 response and beyond

Globally, academic integrity and misconduct is a continuing conundrum for education institutions. Whilst the online (internet based and remote) delivery of education is not new, the onset of Covid-19 with accompanying health and safety limitations and the consequential rapid transition to emergency online delivery of education has, for many, exacerbated the need to focus on emerging potential for new forms of student academic misconduct i.e., e-dishonesty. This paper presents the strategies developed by a higher education institution specializing in university courses for safety and security professionals in the United Arab Emirates to address academic integrity during Covid-19 and beyond. The fundamental approach draws on lessons learnt from across the education community and focuses on engaging a comprehensive whole of Academy (faculty and student) commitment to a high standard of academic integrity. The research investigated the outcomes of the academic integrity interventions in a total student population of 631. The early trending results of the strategies are encouraging, whilst monitoring of the ever-changing academic assessment landscape is pivotal to ensure these early trends are validated and sustained. The strategies developed and deployed by the Academy are replicable and offer a contribution to the demanding and complex challenge of establishing academic integrity within educational institutions across the world.

Promoting Energy-Efficient Behavior by Depicting Social Norms in a Recommender Interface

How can recommender interfaces help users to adopt new behaviors? In the behavioral change literature, social norms and other nudges are studied to understand how people can be convinced to take action (e.g., towel re-use is boosted when stating that “75% of hotel guests” do so), but most of these nudges are not personalized. In contrast, recommender systems know what to recommend in a personalized way, but not much human-computer interaction ( HCI ) research has considered how personalized advice should be presented to help users to change their current habits.

We examine the value of depicting normative messages (e.g., “75% of users do X”), based on actual user data, in a personalized energy recommender interface called “Saving Aid.” In a study among 207 smart thermostat owners, we compared three different normative explanations (“Global.” “Similar,” and “Experienced” norm rates) to a non-social baseline (“kWh savings”). Although none of the norms increased the total number of chosen measures directly, we show that depicting high peer adoption rates alongside energy-saving measures increased the likelihood that they would be chosen from a list of recommendations. In addition, we show that depicting social norms positively affects a user’s evaluation of a recommender interface.

Remote versus on-site proctored exam: comparing student results in a cross-sectional study

BACKGROUND

The COVID-19 pandemic has profoundly affected assessment practices in medical education necessitating distancing from the traditional classroom. However, safeguarding academic integrity is of particular importance for high-stakes medical exams. We utilised remote proctoring to administer safely and reliably a proficiency-test for admission to the Advanced Master of General Practice (AMGP). We compared exam results of the remote proctored exam group to those of the on-site proctored exam group.

METHODS

A cross-sectional design was adopted with candidates applying for admission to the AMGP. We developed and applied a proctoring software operating on three levels to register suspicious events: recording actions, analysing behaviour, and live supervision. We performed a Mann-Whitney U test to compare exam results from the remote proctored to the on-site proctored group. To get more insight into candidates' perceptions about proctoring, a post-test questionnaire was administered. An exploratory factor analysis was performed to explore quantitative data, while qualitative data were thematically analysed.

RESULTS

In total, 472 (79%) candidates took the proficiency-test using the proctoring software, while 121 (20%) were on-site with live supervision. The results indicated that the proctoring type does not influence exam results. Out of 472 candidates, 304 filled in the post-test questionnaire. Two factors were extracted from the analysis and identified as candidates' appreciation of proctoring and as emotional distress because of proctoring. Four themes were identified in the thematic analysis providing more insight on candidates' emotional well-being.

CONCLUSIONS

A comparison of exam results revealed that remote proctoring could be a viable solution for administering high-stakes medical exams. With regards to candidates' educational experience, remote proctoring was met with mixed feelings. Potential privacy issues and increased test anxiety should be taken into consideration when choosing a proctoring protocol. Future research should explore generalizability of these results utilising other proctoring systems in medical education and in other educational settings.

Digital Nudging for Online Food Choices

When people search for what to cook for the day, they increasingly use online recipe sites to find inspiration. Such recipe sites often show popular recipes to make it easier to find a suitable choice. However, these popular recipes are not always the healthiest options and can promote an unhealthy lifestyle. Our goal is to understand to what extent it is possible to steer the food selection of people through digital nudging. While nudges have been shown to affect humans' behavior regarding food choices in the physical world, there is little research on the impact of nudges on online food choices. Specifically, it is unclear how different nudges impact (i) the behavior of people, (ii) the time they need to make a decision, and (iii) their satisfaction and confidence with their selection. We investigate the effects of highlighting, defaults, social information, and warnings on the decision-making of online users through two consecutive user studies. Our results show that a hybrid nudge, which both involves setting a default and adding social information, significantly increases the likelihood that a nudged item is selected. Moreover, it may help decreasing the required decision time for participants while having no negative effects on the participant's satisfaction and confidence. Overall, our work provides evidence that nudges can be effective in this domain, but also that the type of a digital nudge matters. Therefore, different nudges should be evaluated in practical applications.

The effects of sex and outcome expectancies on perceptions of sexual harassment

Using an outcome expectancy framework, this research sought to understand sex differences in the underlying beliefs that influence harassment perception. One hundred and ninety-six participants (52% women) read a series of vignettes depicting common examples of digital male-on-female sexual harassment. They were asked to what extent they thought each scenario constituted sexual harassment, and how likely the perpetrator would experience positive and negative outcomes. Consistent with predictions, women were more likely to consider the behaviours as harassment than men were. Both sexes harassment perceptions had significant relationships with their outcome expectancies, but we also found evidence of a sex specific moderation; the link between men's negative outcome expectancies was moderated by their positive ones. The results suggest that perceptions of harassment may have sexually asymmetrical underpinnings. Measuring the interplay between positive and negative outcome expectancies in relation to sexual harassment perception is a novel approach, that may have implications for the development of anti-sexual harassment interventions. Implications for theory and future research directions are discussed.

Social media and body image: Recent trends and future directions

This review presents recent trends in social media and body image research, with a particular focus on different social media platforms, features unique to social media, and potentially positive content for body image. First, it was found that visual platforms (e.g. Instagram) were more dysfunctional for body image than more textual platforms (e.g. Facebook). Second, taking and editing (but not posting) selfies resulted in negative effects on body image. Positive comments intensified the effects of exposure to idealized content. Third, of the forms of potentially positive content examined in recent research (i.e. fitspiration, disclaimer labels, and body positivity), only body positivity content had a positive effect on body image. Recommendations for future research are offered.

Social media and well-being: A methodological perspective

Due to the methodological challenges inherent in studying social media use (SMU), as well as the methodological choices that have shaped research into the effects of SMU on well-being, clear conclusions regarding relationships between SMU and well-being remain elusive. We provide a review of five methodological developments poised to provide increased understanding in this domain: (a) increased use of longitudinal and experimental designs; (b) the adoption of behavioural (rather than self-report) measures of SMU; (c) focusing on more nuanced aspects of SMU; (d) embracing effect heterogeneity; and (e) the use of formal modelling and machine learning. We focus on how these advances stand to bring us closer to understanding relations between SMU and well-being, as well as the challenges associated with these developments.

Attitudes towards Safe Listening Measures in Entertainment Venues: Results from an International Survey among Young Venue-Goers

BACKGROUND

Sustained exposure to excess noise in recreational settings is among the main causes of hearing loss among young adults worldwide. Within a global effort to develop standards for safe listening in entertainment venues, this study aims at identifying modifiable factors (knowledge, attitudes, and beliefs), which can hinder or facilitate the acceptance of safe listening measures in public venues among young venue-goers.

METHODS

An online questionnaire was developed inspired by the Health Belief Model. It was divided into five sections: (i) socio-demographics (ii) listening habits, (iii) experiences with loud music, (iv) knowledge, attitudes, and beliefs, and (v) willingness to change. Participants were recruited through social media.

RESULTS

2264 individuals aged 16-35 completed the questionnaire. Most visited entertainment venues relatively infrequently, with the majority of them only visiting once per month or less. Nevertheless, most reported having experienced the negative consequences of listening to loud music. Overall, most people were favorable towards preventive measures, especially quiet areas.

CONCLUSION

Our findings stress the urge to address the issue of safe listening in public venues and support an approach based on the introduction of standards. Moreover, they provide us with information on key factors to be considered when introducing and communicating preventive measures in public entertainment venues.

Critical thinking predicts reductions in Spanish physicians' stress levels and promotes fake news detection

The prevalence of pseudoscientific beliefs and fake news increased during the coronavirus crisis. Misinformation streams such as these potentially pose risks to people's health. Thus, knowing how these pseudoscientific beliefs and fake news impact the community of internists may be useful for improving primary care services. In this research, analyses of stress levels, effectiveness in detecting fake news, use of critical thinking (CP), and attitudes toward pseudosciences in internists during the COVID-19 crisis were performed. A total of 1129 internists participated. Several multiple regression models were applied using the forward stepwise method to determine the weight of CP and physicians' attitudes toward pseudosciences in predicting reductions in stress levels and facilitating the detection of fake news. The use of critical thinking predicted 46.9% of the reduction in stress levels. Similarly, skeptical attitudes and critical thinking predicted 56.1% of the hits on fake news detection tests. The stress levels of physicians during the coronavirus pandemic were clinically significant. The efficacy of fake news detection increases by 30.7% if the individual was a physician. Study outcomes indicate that the use of critical thinking and skeptical attitudes reduce stress levels and allow better detection of fake news. The importance of how to promote critical and skeptical attitudes in the field of medicine is discussed.

Associations between body image, social physique anxiety, and dating anxiety in heterosexual emerging adults

Studies have suggested that body image is associated with dating anxiety, but are limited by small sample sizes, singular operationalisations of body image, and a lack of consideration of the concurrent effects of social physique anxiety. To overcome these gaps in the literature, we asked an online sample of 501 heterosexual emerging adults from the United Kingdom (age M = 21.16, 50.3% women) to complete measures of multidimensional body image, social physique anxiety, and dating anxiety. Correlational analyses indicated that more negative body image and social physique anxiety were both significantly associated with greater dating anxiety. However, in hierarchical regressions, the variance accounted for by body image variables was largely non-significant and weak after accounting for the effects of social physique anxiety. In exploratory analyses, we found that social physique anxiety mediated the relationship between the body image facet of appearance orientation and dating anxiety. These results highlight the importance of developing targeted interventions to reduce social physique anxiety and unhealthy appearance orientation in heterosocial dating contexts.