# User Acceptance of Smart Watch for Medical Purposes: An Empirical Study
## 1 Introduction  
The Internet of Things (IoT) has evolved rapidly during recent years, urging its users to make use of various information anywhere and anytime. Part of (IoT) is the smartwatch and other wearable technology devices. The widespread use of these devices enables their users to have immediate access to different medical information and physical activities [1, 2, 3, 4]. Companies have recently developed and sold smartwatches. Its sellingpercentage is getting higher and higher over time. The specific features of Smartwatches urge many users to adopt this technology; these features include pairing with mobile phones to expose different phone features, providing notification, providing watch faces and timekeeping capabilities [5; 6; 7; 8]. Wearable devices have appeared as a significant tool that can help measure physiological parameters such as heart rate and arterial blood pressure to reach the final goal, which enhances healthcare efficiency [9; 10]. To put in other words, SW is useful in the medical field because it combines features of smartphones as well as providing prompt feedback permitting a fast communication process between patients and doctors. SW popularity has urged many doctors and patients to depend on their unique features including performing timely interventions, health monitoring systems, and fitness systems [11; 12]. Accordingly, the demand to use this type of technology has increased in different areas and the medical environment is not an exception. Smartwatches undertake different medical tasks including carbohydrate, blood glucose, and insulin unit entry, viewing all required previously recorded values and the recording of required physical activities [13; 14]. The eagerness to develop more medical-specific features urges researchers to tackle this issue in more detail. Accordingly, the main contributions of the current study can be summarized as follows: Firstly, the study investigates the effects of antecedents of SW adoption directly and indirectly. This can be implemented using an innovative and integrated research model to enhance the understanding of the determinants of SW adoption. In other words, a conceptual model was developed that combines the TAM acceptance model [15] and diffusion of innovation (DOI) theory [16] to highlight the significance and predictableness of the results. Secondly, the current study aims to evaluate the success of SW adoption within a medical field, which can be of huge interest to doctors and patients. Users in the medical field are increasingly keen to develop their future benefits and pave the way for further recommendations. It has been recognized that SW acceptance is relevant to more than the decision of individual users but rather to the use of the community. The information can be shared in a group of communities within a restricted social group of doctors and patients to diffuse their attitudes and behaviors. Thirdly, this study has adopted an external variable, that is, specific to the importance of smartwatch's external features in the medical field. This study sets its external factors apart from previous studies by [17; 18], which focused on availability and mobility. In fact, the current research includes innovations and content richness as the core of smartwatch external factors. The main contribution of this paper is that it investigates the efficiency of SW from a purely medical perspective, where the acceptance of the SW is based on important TAM factors' perceived ease of use and perceived usefulness from the doctors' and patients' points of view. What sets this paper apart from previous research is the fact that it focuses on two variables that facilitate the acceptance of wearable technology, which are personal innovativeness and content richness. The effectiveness of these two variables leads to a higher level of SW acceptance.