INVESTIGATING THE IMPACT OF UNDERLYING HEALTH CONDITIONS ON PRIVACY CONCERNS OF IOT HEALTHCARE DEVICES

Abstract

Internet of things (IoT) wearable healthcare devices improve the quality of living, encourage healthy lifestyle improvements, and reduce the amount of time and resources spent on medical expenditure. Wearable devices generate large amounts of personal health data, which can potentially benefit all related stakeholders. However, there is evidence that some people feel that using healthcare IoT can put their private healthcare information at risk. Our research aims to understand the factors affecting users' willingness to share personal health information, and the intention to adopt and continue using wearable technology. This paper considers the wearer's perspective by proposing a conceptual model that combines the Delone and McLean model, UTAUT2 and ECM factors. The novel conceptual model was partially validated by conducting a pilot study, followed by Confirmatory Factor Analysis, which in turn was used to measure the validity and reliability of the constructs.