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What Factors Predict the Adoption of Type 2 Diabetes Patients to Wearable Activity Trackers—Application of Diffusion of Innovation Theory
Author(s) -
Ping Chen,
Ying Shen,
Zeming Li,
Xia Sun,
Xing Lin Feng,
Edwin B. Fisher
Publication year - 2022
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/q6ba-t098
Subject(s) - wearable computer , diffusion , activity tracker , type 2 diabetes , diffusion theory , innovation diffusion , wearable technology , bittorrent tracker , computer science , business , human–computer interaction , diabetes mellitus , medicine , knowledge management , artificial intelligence , embedded system , physics , thermodynamics , endocrinology , eye tracking

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