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.

移动智能和可穿戴计算的迅速发展促进了量化自我的兴起。用户通过移动电话终端与可穿戴计算设备之间的连接来量化自己，并实现自我跟踪和自我认知。移动智能和可穿戴计算融合模式中的沉浸式量化信息设计的特点吸引了众多用户沉浸其中。基于刺激身体反应（SOR）模型，构建了影响量化自我沉浸体验的影响机制模型，并采用实证研究方法。本文分析了信息平台和内容特征（交互，易用性，有用性，娱乐），移动智能和可穿戴计算的融合对用户的量化自我沉浸式体验以及隐私关注和潜在负担对沉浸式体验和持续参与的调节作用。结果表明，交互，易用性，有用性和娱乐性均对用户的量化自我沉浸式体验产生重大影响，并且影响程度依次为：有用性>易用性>娱乐性>交互性。潜在的负担能力和隐私问题在调节沉浸状态和持续参与的状态中起着重要作用。本研究的结论不仅从移动智能与可穿戴计算融合的特点分析了用户对量化自我的沉浸式体验的影响因素，还分析了用户对量化自我的沉浸式体验与持续参与的关系。潜在负担能力和隐私问题的观点。它为移动智能与可穿戴计算融合的交互设计和用户信息管理提供了意见和建议，对相关企业提高用户粘性具有实际参考意义。