The Model Human Processor and the older adult: parameter estimation and validation within a mobile phone task

Components of navigation ability and their predictors in a community-dwelling sample of older adults

Introduction: Navigation, as a complex skill important for independent living, requires a variety of cognitive processes. Current scales tapping components are lengthy and can be burdensome for older adults. Methods: Community-dwelling older adults (n = 380, age 60-90 years) completed an online survey tapping wayfinding, being lost navigating, and needing help navigating. Participants then completed objective measures of navigation ability and self-reported memory ability. Cronbach's α was calculated for navigation subscales consisting of subsets of the Wayfinding Questionnaire and Santa Barbara Sense of Direction Questionnaire, and an exploratory factor analysis (EFA) was conducted. Regression analyses were used to test whether objective navigation, memory, and demographic information navigation predicted navigation subscale performance. Results: Each of the individual subscales demonstrated high reliability. EFA generated five unique factors: routing, mental mapping, navigation in near vicinities, feeling lost in far vicinities, and needing help in far vicinities. Across regression analyses, memory, gender, and performance on the Spatial Orientation Test were significant predictors. Discussion: Navigation is a multi-faceted construct that can be reliably measured using concise surveys. Further research is necessary to understand the intricacies of aging and navigation.

Impact of swiping direction on the interaction performance of elderly-oriented smart home interface: EEG and eye-tracking evidence

Introduction

Smart home technology is increasingly popular, yet not all seniors are receptive and comfortable with it. This situation recognizes that the usability of smart home interfaces is particularly important. Most studies on interface swiping direction demonstrate the advantages of horizontal over vertical swiping, but the findings lack age-based as well as gender-specific judgments.

Methods

In this paper, we use cognitive neural techniques of EEG and eye-tracking, combined with a subjective preference questionnaire, to analyze the preference of older persons for the swiping direction of smart home interfaces in a multimodal manner.

Results

The EEG data showed that swiping direction had a significant effect on potential values (p = 0.001). Also, the mean power in the δ and the θ band was enhanced during vertical swiping. Gender had no significant effect on potential values (p = 0.085), but the cognitive task was more EEG stimulating for females. The eye-tracking metrics data showed a significant effect of swiping direction on fixation duration (p = 0.047) and a non-significant effect on pupil diameter (p = 0.576). These results were consistent with the results of the subjective preference questionnaire, both demonstrating a preference for vertical swiping among participants.

Discussion

This paper uses three research tools simultaneously, combining objective perceptions as well as subjective preferences, to make the findings more comprehensive and reliable. Gender differences were also taken into account and differentiated in the data processing. The findings of this paper are different from most previous studies and better reflect the preference of elderly people for swiping directions, which can provide a reference for the future elderly-friendly smart home interface design.

Semi-Autonomous Vehicles as a Cognitive Assistive Device for Older Adults

Losing the capacity to drive due to age-related cognitive decline can have a detrimental impact on the daily life functioning of older adults living alone and in remote areas. Semi-autonomous vehicles (SAVs) could have the potential to preserve driving independence of this population with high health needs. This paper explores if SAVs could be used as a cognitive assistive device for older aging drivers with cognitive challenges. We illustrate the impact of age-related changes of cognitive functions on driving capacity. Furthermore, following an overview on the current state of SAVs, we propose a model for connecting cognitive health needs of older drivers to SAVs. The model demonstrates the connections between cognitive changes experienced by aging drivers, their impact on actual driving, car sensors’ features, and vehicle automation. Finally, we present challenges that should be considered when using the constantly changing smart vehicle technology, adapting it to aging drivers and vice versa. This paper sheds light on age-related cognitive characteristics that should be considered when developing future SAVs manufacturing policies which may potentially help decrease the impact of cognitive change on older adult drivers.

Do "Brain-Training" Programs Work?

In 2014, two groups of scientists published open letters on the efficacy of brain-training interventions, or "brain games," for improving cognition. The first letter, a consensus statement from an international group of more than 70 scientists, claimed that brain games do not provide a scientifically grounded way to improve cognitive functioning or to stave off cognitive decline. Several months later, an international group of 133 scientists and practitioners countered that the literature is replete with demonstrations of the benefits of brain training for a wide variety of cognitive and everyday activities. How could two teams of scientists examine the same literature and come to conflicting "consensus" views about the effectiveness of brain training?In part, the disagreement might result from different standards used when evaluating the evidence. To date, the field has lacked a comprehensive review of the brain-training literature, one that examines both the quantity and the quality of the evidence according to a well-defined set of best practices. This article provides such a review, focusing exclusively on the use of cognitive tasks or games as a means to enhance performance on other tasks. We specify and justify a set of best practices for such brain-training interventions and then use those standards to evaluate all of the published peer-reviewed intervention studies cited on the websites of leading brain-training companies listed on Cognitive Training Data (www.cognitivetrainingdata.org), the site hosting the open letter from brain-training proponents. These citations presumably represent the evidence that best supports the claims of effectiveness.Based on this examination, we find extensive evidence that brain-training interventions improve performance on the trained tasks, less evidence that such interventions improve performance on closely related tasks, and little evidence that training enhances performance on distantly related tasks or that training improves everyday cognitive performance. We also find that many of the published intervention studies had major shortcomings in design or analysis that preclude definitive conclusions about the efficacy of training, and that none of the cited studies conformed to all of the best practices we identify as essential to drawing clear conclusions about the benefits of brain training for everyday activities. We conclude with detailed recommendations for scientists, funding agencies, and policymakers that, if adopted, would lead to better evidence regarding the efficacy of brain-training interventions.

Driving performance comparing older versus younger drivers

OBJECTIVES

A cross-sectional study was conducted at the Touro University California campus to compare differences in reaction times and driving performance of younger adult drivers (18-40 years) and older adult drivers (60 years and older). Each test group consisted of 38 participants.

METHODS

A Simple Visual Reaction Test (SVRT) tool was used to measure reaction times. The STISIM Drive M100 driving simulator was used to assess driving parameters. Driving performance parameters included mean lane position, standard deviation of mean lane position measured, mean speed, standard deviation of mean speed, car-following delay, car-following modulus, car-following coherence, off-road accidents, collisions, pedestrians hit, and traffic light tickets.

RESULTS

Compared to younger participants, older drivers experienced significantly slower reaction times (510.0 ± 208.8 vs. 372.4 ± 96.1 ms, P =.0004), had more collisions (0.18 ± 0.39 vs. none, P =.0044), drove slower (44.6 ± 6.6 vs. 54.9 ± 11.7 mph, P <.0001), deviated less in speed (12.6 ± 4.3 vs. 16.8 ± 6.3, P =.0011), and were less able to maintain a constant distance behind a pace car (0.42 ± 0.23 vs. 0.59 ± 0.24; P =.0025).

CONCLUSIONS

Differences exist in driving patterns of older and younger drivers as measured by reaction times and driving simulator outcomes. These results are the first to compare these 2 specific adult age groups' driving performance as measured by a standardized driving simulator scenario. Identifying these differences is essential in addressing them and preventing future traffic injuries.

Teach or Design? How Older Adults’ Use of Ticket Vending Machines Could Be More Effective

The dominance of computer technology in work and leisure poses challenges for older people. Their lack of computer experience and computer literacy impedes their ability to explore and use new interactive systems. This is particularly challenging for the design of public access systems, such as ticket vending machines (TVM). This article describes a conflict relevant for many designers considering age-related differences in technology use: should the user be taught to use the existing design or should the design be changed to accommodate older users? An experiment was conducted to directly compare these alternative approaches with each other and with a simulation of an existing TVM. It compares three TVM designs regarding the usability criteria of effectiveness, efficiency and satisfaction, controlling for age, and cognitive and motivational characteristics. 62 older (M = 68 years) and 62 younger (M = 25 years) participants were split into three groups: The control group solved 11 tasks using a simulation of the TVM, the video group watched a brief instructional video before solving the same tasks with the same TVM, and the wizard group used a redesigned wizard interface instead. Results indicate that young and old participants’ performance improved after watching the video, but older participants improved more, reaching the effectiveness of the young control group. In the wizard condition, age differences in effectiveness and satisfaction were eliminated; however, speed differences remained in all conditions. The results suggest that the simple integration of minimal video instruction or a task-oriented wizard design can make public access systems truly universally usable, and that the wizard TVM was a true “walk-up-and-use system.”

Meta-analysis of age and skill effects on recalling chess positions and selecting the best move

A meta-analysis was conducted of studies that measured the effects of both age and skill in chess on the tasks of selecting the best move for chess positions (the best move task) as well as recalling chess game positions (the recall task). Despite a small sample of studies, we demonstrated that there are age and skill effects on both tasks: age being negatively associated with performance on both tasks and skill being positively associated with performance on both tasks. On the best move task, we found that skill was the dominant effect, while on the recall task, skill and age were approximately equally strong effects. We also found that skill was best measured by the best move task. In the case of the best move task, this result is consistent with the argument that it accurately replicates expert performance (Ericsson & Smith, 1991). Results for the recall task argue that this task captures effects related to skill, but also effects likely due to a general aging process. Implications for our understanding of aging in skilled domains are also discussed.

Improving the safety of aging road users: a mini-review

Older drivers are at greatest risk for injury or death as a result of a car crash. In this mini-review, we outline the normative age-related changes to perceptual, cognitive, and motor abilities that contribute to increased crash risk and decreased comfort with driving, and highlight specific driving scenarios and conditions that are particularly challenging for aging road users. Adopting a person-environment fit framework, we discuss how the roadway environment can be modified to better match the abilities of the aging driver. We also review evidence for the efficacy of training interventions that aim to change the abilities and strategies of the aging driver to better match the demands of the driving environment. Evidence suggests that specific changes to the roadway and driver training strategies can bring the abilities of the older driver back into alignment with the demands of the driving task. A focus on both approaches will help ensure the safety of all road users as the number of aging drivers greatly increases over the next few decades.

Improving the safety of aging road users: a mini-review

Older drivers are at greatest risk for injury or death as a result of a car crash. In this mini-review, we outline the normative age-related changes to perceptual, cognitive, and motor abilities that contribute to increased crash risk and decreased comfort with driving, and highlight specific driving scenarios and conditions that are particularly challenging for aging road users. Adopting a person-environment fit framework, we discuss how the roadway environment can be modified to better match the abilities of the aging driver. We also review evidence for the efficacy of training interventions that aim to change the abilities and strategies of the aging driver to better match the demands of the driving environment. Evidence suggests that specific changes to the roadway and driver training strategies can bring the abilities of the older driver back into alignment with the demands of the driving task. A focus on both approaches will help ensure the safety of all road users as the number of aging drivers greatly increases over the next few decades.

Skill acquisition with text-entry interfaces: particularly older users benefit from minimized information-processing demands

Operating information technology challenges older users if it requires executive control, which generally declines with age. Especially for novel and occasional tasks, cognitive demands can be high. We demonstrate how interface design can reduce cognitive demands by studying skill acquisition with the destination entry interfaces of two customary route guidance systems. Young, middle-aged, and older adults performed manual destination entry either with a system operated with multiple buttons in a dialogue encompassing spelling and list selection, or with a system operated by a single rotary encoder, in which an intelligent speller constrained destination entry to a single line of action. Each participant performed 100 training trials. A retention test after at least 10 weeks encompassed 20 trials. The same task was performed faster, more accurately, and produced much less age-related performance differences especially at the beginning of training if interface design reduced demand for executive control, perceptual processing, and motor control.

Modelling the hare and the tortoise: predicting the range of in-vehicle task times using critical path analysis

Analytic models can enable predictions about important aspects of the usability of in-vehicle information systems (IVIS) to be made at an early stage of the product development process. Task times provide a quantitative measure of user performance and are therefore important in the evaluation of IVIS usability. In this study, critical path analysis (CPA) was used to model IVIS task times in a stationary vehicle, and the technique was extended to produce predictions for slowperson and fastperson performance, as well as average user (middleperson) performance. The CPA-predicted task times were compared to task times recorded in an empirical simulator study of IVIS interaction, and the predicted times were, on average, within acceptable precision limits. This work forms the foundation for extension of the CPA model to predict IVIS task times in a moving vehicle, to reflect the demands of the dual-task driving scenario.

PRACTITIONER SUMMARY

The CPA method was extended for the prediction of slowperson and fastperson IVIS task times. Comparison of the model predictions with empirical data demonstrated acceptable precision. The CPA model can be used in early IVIS evaluation; however, there is a need to extend it to represent the dual-task driving scenario.

Memory function and supportive technology

Episodic and working memory processes show pronounced age-related decline, with other memory processes such as semantic, procedural, and metamemory less affected. Older adults tend to complain the most about prospective and retrospective memory failures. We introduce a framework for deciding how to mitigate memory decline using augmentation and substitution and discuss techniques that change the user, through mnemonics training, and change the tool or environment, by providing environmental support. We provide examples of low-tech and high-tech memory supports and discuss constraints on the utility of high-tech systems including effectiveness of devices, attitudes toward memory aids, and reliability of systems.

Toward a psychological science of advanced technology design for older adults

OBJECTIVES

Technology represents advances in knowledge that change the way humans perform tasks. Ideally, technology will make the task easier, more efficient, safer, or perhaps more pleasurable. Unfortunately, new technologies can sometimes make a task more difficult, slower, dangerous, or perhaps more frustrating. Older adults interact with a variety of technologies in the course of their daily activities and thus products should be designed to be used by people of varying ages.

METHODS

In this article, we provide an overview of what psychology has to offer to the design of technology-from understanding what people need, to identifying their preferences for design characteristics, and to defining their capabilities and limitations that will influence technology interactions.

RESULTS

We identify how research in the field of psychology and aging has advanced understanding of technology interactions and how research on technology interactions can inform theories of aging.

DISCUSSION

Design for aging involves understanding the unique capabilities and limitations of older adults; identifying their needs, preferences, and desires for technology in their lives; and involving them in the design process.

Aging and Information Technology Use

Why are older adults reluctant to adopt new technology, such as the Internet, given its potential to improve the quality of their lives? We review evidence indicating that attitudes and abilities are among the most powerful predictors of technology use. We conclude that normative age-related changes in ability must be taken into account when designing products and training programs for aging adults, and we discuss new tools to support designers. The most promising emerging technologies likely lie in training cognitive abilities and augmenting or substituting for impaired abilities. We discuss reasons to expect that the lag in technology adoption between younger and older adults may lessen but will not disappear in future generations.

Aging and human performance

OBJECTIVES

I identify major theoretical and practical contributions to aging and human performance as reflected primarily in the pages of Human Factors.

BACKGROUND

Populations worldwide are aging. True experimental work on aging is not possible because age levels cannot be manipulated. Sophisticated theoretical frameworks and modeling techniques are required to reach valid inferences about age effects and age changes.

METHOD

Citation analysis was used to identify articles in Human Factors dealing with age or aging and to rank them for citation impact.

RESULTS

Special issues on aging were followed by increased publication rates for articles on age or aging, particularly in the 1990s. Most-cited articles deal primarily with age and driving.

CONCLUSIONS

Applied contributions rely on improved measurement of performance and on methodological advances, including simulation and modeling. Design changes that provide environmental support for declining cognitive, perceptual, and psychomotor abilities can serve as a powerful intervention for maintaining and improving older adult performance. Training is also a robust way to improve performance at both the basic ability level and the level of task performance. Human factors specialists can improve quality of life for an aging population.

APPLICATIONS

Guidelines for older users are now being developed by standards bodies and are implemented in domains such as Web design. Much of the focus of human factors research has been on improving efficiency in the performance of aging adults in the workforce, but reducing errors and increasing comfort and satisfaction in health-related activities should receive greater attention.