دانلود مقاله ISI انگلیسی شماره 133464
ترجمه فارسی عنوان مقاله

مدل تجربی سلامت اطلاعاتی شخصی: موردی از خود ارزیابی شده است

عنوان انگلیسی
Health experience model of personal informatics: The case of a quantified self
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
133464 2017 13 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Computers in Human Behavior, Volume 69, April 2017, Pages 62-74

ترجمه کلمات کلیدی
اطلاعات شخصی خودمحور دستگاه پوشیدنی اطلاعات بهداشتی، رفتار بهداشتی،
کلمات کلیدی انگلیسی
Personal informatics; Quantified self; Wearable device; Health information; Health behavior;
پیش نمایش مقاله
پیش نمایش مقاله  مدل تجربی سلامت اطلاعاتی شخصی: موردی از خود ارزیابی شده است

چکیده انگلیسی

The “quantified self” movement and wearable devices with health monitoring and activity tracking functions are experiencing increased popularity, as they allow users to become more aware of their health-related behavior. This paper describes the user experience of the quantified self as examined through multiple methods. First, we surveyed people's motivations and attitudes toward the quantified self. Second, we investigated the psychological effects of the form of health feedback (comparative vs. non-comparative) and presentation mode (text vs. image) on users' health preservation tendencies to identify more effective ways of delivering health information to users. The results of this user model confirm the significant role of utility and hedonicity regarding their underlying link to confirmation, satisfaction, and continuance intention. A between-subjects experiment reveals that health information provided in a comparative and textual format is more effective in encouraging health preservation in participants than the identical information presented in a non-comparative image format. In addition, participants' health-consciousness is found to be a significant determinant of health preservation. The findings show that users' health experience relates both utilitarian and hedonic aspects of motivation. The findings establish a foundation for future wearable technologies through a heuristic quality assessment tool from a user-centered perspective.