Toward harmonization of aging and technology research: German adaptation of the mobile device proficiency questionnaire (MDPQ) for older adults.

The Mobile Device Proficiency Questionnaire (MDPQ) is a well-established, reliable, and valid instrument to measure basic and advanced mobile device skills among older adults. We offer a German adaptation of the MDPQ and report reliability and validity findings. A controlled translation procedure was applied.

Development of the Japanese version of the Mobile Device Proficiency Questionnaire: A cross-sectional validation study.

Aim: In response to the growing popularity of mobile devices among older adults in Japan, this study aimed to establish a reliable and valid measure of mobile device proficiency by developing a Japanese version of the Mobile Device Proficiency Questionnaire (MDPQ-J) for the Japanese population.

Methods: To evaluate the reliability and validity of the MDPQ-J, we administered the questionnaire to 100 young or middle-aged participants (37.78 ± 13.

Predicting adherence to gamified cognitive training using early phase game performance data: Towards a just-in-time adherence promotion strategy.

Background And Objectives: This study aims to develop a machine learning-based approach to predict adherence to gamified cognitive training using a variety of baseline measures (demographic, attitudinal, and cognitive abilities) as well as game performance data. We aimed to: (1) identify the cognitive games with the strongest adherence prediction and their key performance indicators; (2) compare baseline characteristics and game performance indicators for adherence prediction, and (3) test ensemble models that use baseline characteristics and game performance data to predict adherence over ten weeks.

Research Design And Method: Using machine learning algorithms including logistic regression, ridge regression, support vector machines, classification trees, and random forests, we predicted adherence from weeks 3 to 12.

Prioritizing Technology Initiatives to Reduce Social Isolation and Loneliness Among Older Adults.

In their insightful commentary, Kokorelias et al. (2024) explore the potential of technology in supporting aging in the right place, addressing both opportunities and challenges from individual to societal levels. Our commentary specifically focuses on recent empirical evidence for technology's benefits in enhancing social connectivity and reducing loneliness for older adults, both with and without cognitive impairments.

Predicting Adherence to Computer-Based Cognitive Training Programs Among Older Adults: Study of Domain Adaptation and Deep Learning.

Background: Cognitive impairment and dementia pose a significant challenge to the aging population, impacting the well-being, quality of life, and autonomy of affected individuals. As the population ages, this will place enormous strain on health care and economic systems. While computerized cognitive training programs have demonstrated some promise in addressing cognitive decline, adherence to these interventions can be challenging.