Tüketicilerin sağlık verilerini takip etmek amacıyla giyilebilir cihazları kullanma eğilimini etkileyen faktörlerin araştırılması

The popularity and usage of wearable devices is increasing as a consequence of their increasing capabilities. These devices collect various types of health related data with increasing accuracy. Collected data is used by consumers to track their own health data in addition to being used by health professionals to support medical diagnosis and treatment. This research investigates the factors affecting the adoption of wearable devices to track health information. The UTAUT2 model was used as the basis for this study as it is focusing on the acceptance of technology from consumers' perspectives. The model was enhanced with the categorization of use construct and addition of three new constructs: Goal Clarity, Technology Stack Compatibility, and Perceived Risk. The UTAUT2 model addresses technology use only in terms of use frequency, and this is not sufficient to analyze wearable devices which lend themselves to varying degrees of passive and active use. It is proposed that wearable device usage should be analyzed in three categories: Type-1 Use: Users wear the device primarily out of habit with no significant focus on the data. Type-2 Use: Users check the collected data. Type-3 Use: Users take actions based on the collected data. The results showed that each type of use is influenced by different factors with remarkably different intensities. Additionally it is found that, goal clarity for Type-3 use, and technology stack compatibility for all three types of use, are strong determinants of behavioral intention to use wearable devices with the purpose of tracking health related data