The current body of literature indicates a growing trend of discontinuous usage intentions among users of social media platforms. While several factors affecting discontinuous usage intentions have been explored in previous research, the specific factors and mechanisms impacting discontinuous usage intentions among users of pan-entertainment mobile live broadcast platforms remain undefined. This study aims to clarify these factors and mechanisms and to provide both theoretical and practical guidance to users to encourage rational usage of the platform, as well as support the optimization of innovative services offered by the platform’s operator. This study, which is grounded in the theoretical framework of “Cognition-Emotion-Behavior intention,” develops an influencing mechanism model based on cognitive dissonance and self-efficacy. A total of 340 valid samples were collected through questionnaires and analyzed using a structural equation model, which revealed that information overload, service overload, and user addiction had a positive impact on cognitive dissonance, which was moderated by self-efficacy. Cognitive dissonance also had a positive impact on discontinuous usage intentions, again moderated by self-efficacy. These findings expand upon previous research on discontinuous usage intentions among social media users and offer insights into the underlying psychological mechanisms among users of pan-entertainment mobile live broadcast platforms. Additionally, the study provides valuable information for practitioners to consider in the design of the platform, with the ultimate goal of improving user experience and promoting retention.

Most of the contemporary models for meeting the majority of the needs of middle-aged and elderly people are community-based, in-home care. Therefore, this paper designs an Interaction model that can meet the need for a rich spiritual and cultural life of the elderly at home. First, the questionnaire content of the Chinese Longitudinal Healthy Longevity Survey (CLHLS) sampling method was designed based on the content of community-based home care services. Then, using the CLHLS sampling method, the survey results of the home care group were collected to form a community of big data consisting of four types of home care service needs. Finally, the Interaction book model was designed based on the hierarchy of service needs obtained from Abraham Maslow’s hierarchy of needs classification method. The experimental results showed that the mean values of the target population’s ratings for the presentation and interface aesthetics of the Interaction mode were 4.34 and 4.19, respectively, the mean value for improving the learning effectiveness of the home-bound population was 4.57, and the mean value for their overall satisfaction was 4.31. It proves that the Interaction model is ideal for practice and can meet the learning needs of the elderly, at-home population from different service demand levels, thus solving the problem of education for the elderly.

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A series of digital marketing transformations have been carried out at Chinese gas stations. From the perspective of user experience, the article discovers the problems in the digital service system of gas stations. Through semi-structured interviews, we collect consumers’ actual usage of digital equipment and service systems. The research adopts grounded theory to encode qualitative data. The behavioral state and psychological needs of consumers in the driving situation are analyzed. The study clarifies the influence of consumer behavior status, service context process, key task difficulty, and service information visualization on service experience. The discovery of service problems in turn help to further optimize the digital service system. The constructed SITE model clarifies the key factors of user experience in the gas station scenario. The research findings can provide a theoretical reference and practical guidance for gas station business owners, managers, and designers.

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