Research on the influence mechanism of users' quantified-self immersive experience: on the convergence of mobile intelligence and wearable computing.

The rapid development of mobile intelligence and wearable computing promotes the rise of quantified-self. Users quantify themselves and realize self-tracking and self-cognition through the connection between mobile phone terminals and wearable computing devices. The characteristics of immersive quantified information design in the convergence mode of mobile intelligence and wearable computing attract many users to immerse into it. Based on the stimulus-body-response (S-O-R) model, this paper constructs an influence mechanism model that affects the immersive experience of quantified-self and adopts empirical research methods. This paper analyzes the influence of the information platform and content characteristics (interaction, ease of use, usefulness, entertainment) of the convergence of mobile intelligence and wearable computing on users' immersive experience of quantified-self and the moderating effect of privacy concern and potential affordance on immersive experience and continuous participation. The results show that interaction, ease of use, usefulness, and entertainment all have a significant impact on users' quantified-self immersive experience, and the influence is in the order of usefulness>ease of use>entertainment>interaction. Potential affordance and privacy concerns play a significant role in regulating the state of immersion and continuous participation. The conclusion of this study not only analyzes the influencing factors of users' immersive experience of quantified-self from the characteristics of the convergence of mobile intelligence and wearable computing but also analyzes the relationship between users' immersive experience of quantified-self and continuous participation from the perspective of potential affordance and privacy concerns. It provides opinions and suggestions for the interaction design and user information management of the convergence of mobile intelligence and wearable computing and has practical reference significance for related enterprises to improve user stickiness. [ABSTRACT FROM AUTHOR]