Evaluation of smart activity tracking wristbands' adoption criteria for university students

Abstract

Information and communication technologies (ICTs) are changing life as we know it. There is a constant endeavour by companies to innovate in various technologies and activity tracking wristbands are no exception. These smart devices are mainly designed to monitor physical activities, sleep trends, and health information on a continuous manner. However, the functions of these devices are limited to neither fitness nor health tracking. Due to the multi-criteria nature of the adoption of these devices, it is critical to assimilate how people view and assess each criterion which has been lacking in the existing literature. This paper evaluates the importance levels of these criteria and their sub-criteria for university students using hierarchical decision model (HDM). Moreover, with the goal of understanding the practicality of the study, nine fitness tracking wristband products are evaluated based on the perspectives and criteria weights obtained from the model and desirability curves and scores.