Identifying User Preferences of Data Handling Using Assisting Technologies
International Conference on PErvasive Technologies Related to Assistive Environments (PETRA), pp. 129–136
Abstract
A huge variety of (assisting) lifelogging technologies can be used to track older people's movements and behaviors allowing for early identifications of emergency situations and health-related changes. So far, research focused on specific technologies and individual factors influencing the acceptance and perception of technology usage; instead, an investigation of people's generic acceptance and perception of collecting health-related data – being necessary for a successful analysis of person-related data – is missing. Hence, this study focused on a broad sample of adults (N=1106) and their acceptance of collecting health-related data to support everyday life in older age. Using an online survey, participants evaluated perceived benefits and barriers, their intention to collect health-related data, and a trade-off between the individual privacy and health. Moreover, results revealed that individual attitudes (i.e., technical self-efficacy, technology commitment, lifelogging experience) influence the evaluation patterns significantly, while demographic and health-related factors are not decisive. The results support the understanding of the influence of user characteristics within the acceptance and perception of collecting health-related data, and enable to inform diverse stakeholders (i.e., policy, industry, academia) about user-specific requirements and needs in the context of health-related data collection.
Authors 3
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Affiliation as printed
Human-Computer Interaction Center, RWTH Aachen University, Germany
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Affiliation as printed
Human-Computer Interaction Center, RWTH Aachen University, Germany
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Affiliation as printed
Human-Computer Interaction Center, RWTH Aachen University, Germany
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