Step by Step – Users and Non-Users of Life-Logging Technologies
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Abstract
A pronounced deficit of physical activity is one of the challenges in today’s societies. Lacking the minimum of activity recommended for a healthy lifestyle can be avoided by so-called life-logging technologies. However, usage is still low. To understand what factors contribute to an acceptance and use of these technologies, we conducted a quantitative online study with users and non-users. In total, 412 people have participated, 225 of them active users of life-logging technologies and 187 non-users. It was found that individual user characteristics shape its acceptance. For instance, the goals for possible behavior change, which the use of life-logging devices can support, differ significantly between users and non-users. Furthermore, the study reveals that factors such as age, motives for physical activity, and privacy concerns are key determinants for projected acceptance of life-logging technologies.
Keywords
Persuasive technology Privacy User modelling Quantified-self Consumer Health Information TechnologyNotes
Acknowledgements
Parts of this work have been funded by the German Ministry of Education and Research (BMBF) under project No. KIS1DSD045 “myneData” and V5JPI004 “PAAL.”
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