Technology becomes a common part of human activities and helps humans work. The wearable device, such as a smartwatch, is one of the applied technologies worn as accessories or embedded in clothing. This study will discuss the analysis of the determinant factors that influence smartwatch adoption intentions in technological and human factors. The technological factor that influences the user's acceptance of technology is examined using Unified Theory of Acceptance and Use of Technology (UTAUT). Meanwhile, the human factor that consists of the image and the personal innovativeness factor will be analyzed using the Theory of Planned Behavior (TPB). Then, this study applies the Technology Acceptance Model (TAM) to determine whether the factors used in this study positively affect smartwatch adoption intentions and the data will be analyzed using the statistical technique of Structural Equation Modeling (SEM). We found that Perceived informativeness, image (social status), and personal innovativeness are significantly affecting perceived usefulness. Furthermore, perceived ease of use also has significantly affected the perceived usefulness. The result also shows that perceived usefulness has a significant influence on smartwatch adoption (adoption intention). We also identify several priority strategies to increase the smartwatch adoption.