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Understanding the Predictability of Smartwatch Usage
The 5th ACM Workshop on Wearable Systems and Applications, 2019We explore the predictability of smartwatch usage using a 9-month dataset collected from 27 users through a crowd-sourced user trial. Specifically, we investigate the predictability of (1) the device energy consumption, (2) the application launch time, and (3) the screen display.
Yunsheng Yao, Xing Liu, Feng Qian 0001
openaire +1 more source
A Smartwatch Integrated with a Paper-based Microfluidic Patch for Sweat Electrolytes Monitoring
Electroanalysis, 2021Cao Qingpeng, Xuesong Ye, Bo Liang
exaly
Intention to use smartwatch health applications: A regulatory fit and locus of control perspective
Information and Management, 2022Mark Keil, Aaron Baird, Hyoung-Yong Choi
exaly
A Smartwatch to Identify Atrial Fibrillation
New England Journal of Medicine, 2020Kasun, De Silva +2 more
openaire +5 more sources
The mediating influence of smartwatch identity on deep use and innovative individual performance
Information Systems Journal, 2020Obi Ogbanufe, Natalie Gerhart
exaly
Using a smartwatch to record an electrocardiogram in the pediatric population
Journal of Electrocardiology, 2022Zakaria Jalal, Marc Strik
exaly
Exploring consumers’ intention to accept smartwatch
Computers in Human Behavior, 2016Liang-Chuan Wu
exaly