Individual Decision Model for Using Technology of Health Crowdsensing in the Digital Era

Abstract

Digital transformation has brought about great social changes, and individuals are constantly facing the challenge of using emerging technologies. This article, for the first time, combines the Diffusion of Innovation Theory and Contract Theory to build a decision model to solve the above challenge. The decision model is constructed according to the key factors that influence the individual decision process, including technological relative advantages, intrinsic motivation, risk-taking, use-cost, technological complexity and compatibility. Through the analysis of the cost utility of each party in Health CrowdSensing technology, the question of whether individuals use the technology is transformed into the question of cost utility. In the experiments, the validity of the decision model is verified by numerical analysis. The decision model proposed in this article provides theoretical basis and experimental verification for further research on how an individual decides whether to use technology or not.