A5006398018- Technology Use by Older Adults
- Mobile Health and mHealth Applications
- Context-Aware Activity Recognition Systems
- Innovative Approaches in Technology and Social Development
- Intergenerational Family Dynamics and Caregiving
- Software Engineering Research
- Big Data and Business Intelligence
- Digital Mental Health Interventions
- Software Engineering Techniques and Practices
- Mobile Crowdsensing and Crowdsourcing
- Open Source Software Innovations
- Online Learning and Analytics
- Health disparities and outcomes
- Data Visualization and Analytics
Heidelberg University
2022-2024
Czech Academy of Sciences, Institute of Computer Science
2024
In this paper, we describe the vision of addressing research challenges for understanding well-being, aging, and health needs older adults related to intelligent assistance systems use. We rely on complex interdisciplinary project SMART-AGE its ambition apply crowd- based requirements engineering (crowd-RE) tailored adults. general structure planned crowd-RE process. discuss how process is individual address in area. close with a discussion remaining challenges.
Older adults are at increased risk of developing health disorders and functional decline. However, owing to time constraints considerable effort, physicians rarely conduct comprehensive assessments detect early signs negative trajectories. If designed properly, digital technologies could identify risks already a preclinical stage, thereby facilitating preventive efforts targeted intervention. For this purpose, Life-integrated Self-Assessment (LiSA) tablet system will be developed through...
Abstract This study introduces PRISM-Germany, the German version of PRISM-App originally developed by North American research consortium CREATE (Czaja et al. 2018), aiming to support social participation among older adults. Addressing challenge long-term adherence, we explored changes in app usage over 3 months and identified predictors use, focusing on socio-demographic technology-related variables. The analytical sample consisted 171 community-dwelling adults aged 67–93 (mean age=73.7...
<sec> <title>BACKGROUND</title> Older adults are at increased risk of developing health disorders and functional decline. However, owing to time constraints considerable effort, physicians rarely conduct comprehensive assessments detect early signs negative trajectories. If designed properly, digital technologies could identify risks already a preclinical stage, thereby facilitating preventive efforts targeted intervention. For this purpose, Life-integrated Self-Assessment (LiSA) tablet...