With the development and improvement of technology, live streaming systems have emerged in people's daily lives, providing new channels for agricultural product sales. This study aims to understand how to scientifically design live streaming systems for agricultural product sales based on user perceptions and preferences. We conducted an online survey, and Study 1 obtained 569 valid samples. We established a structural equation model and applied fuzzy-set qualitative comparative analysis to identify necessary conditions and configurations. In Study 2, two survey stages obtained 61 and 228 valid samples, respectively, and exploratory factor analysis was used for dimensionality reduction. The results showed that information quality and perceived interactivity can reduce social anxiety in female and male users, respectively. Information quality and perceived playfulness positively affect purchase intention. Furthermore, we identified four positive factors, including natural quality, support for domestic agriculture, transportation services, and information attractiveness, and three negative factors, including fulfillment risk, decision pressure, and inefficient consumption experience that may influence users' purchase intention. The findings provide validated design insights for live streaming systems, playing a positive role in enhancing design effectiveness and promoting agricultural product sales.

The role of cities and regions is becoming increasingly crucial in the process of global localization. As vital carriers of urban activities, public spaces are receiving widespread attention; however, the substantial impact of multidimensional experiences of public cultural spaces on urban tourism and the role of cultural identity within these spaces have yet to be extensively studied. This study establishes a framework based on scenescape and stimulus-organism-response theories to explore how external stimuli influence tourists’ behavioral intentions. We developed and conducted a questionnaire survey targeting individuals who have visited the “Most Beautiful Public Cultural Spaces” in Nanjing, China. A total of 287 valid samples were collected for analysis. Four types of external environmental stimuli—physical, activity, mechanism, and virtual spaces—were found to have direct and indirect effects on tourists’ behavioral intentions with cultural identity playing an intermediary role. These new insights provide theoretical enlightenment and practical recommendations for enhancing tourism experiences in public cultural spaces.

In recent years, China has witnessed a growing trend in the adoption of electric robotaxi services, with an increasing number of users beginning to experience this emerging mode of transportation. However, enhancing user willingness to ride remains a core challenge that the electric robotaxi industry urgently needs to address. Our study approached this issue from the perspective of interactive features, surveying 880 respondents and utilizing structural equation modeling to analyze user preferences. The research findings indicate that computer-based entertainment has a significant positive impact on traffic information completeness and social interaction, with a large effect (β > 0.5, p < 0.05), and it also exerts a small positive effect on behavioral intention (β > 0.1, p < 0.05). Traffic information completeness and social interaction have a medium positive effect on behavioral intention (β > 0.3, p < 0.05). In addition, we confirmed that inclusive design, gender, and age have significant moderating effects. Understanding the impact of inclusive design on user behavior can help drive industry changes, creating a more inclusive human–vehicle interaction environment for people with different abilities, such as those with autism. Our study reveals the key factors influencing users’ willingness to ride and offers insights and recommendations for the development and practical application of interactive features in electric robotaxis.

This study aims to understand how interaction design can enhance the user experience of random video chats using virtual avatars (RVC–VAs). We propose a framework to explain the mechanisms underlying changes in social anxiety and flow experiences. We applied analysis of variance (ANOVA), structural equation modeling (SEM), and fuzzy set qualitative comparative analysis (fsQCA) to data collected through surveys. Our findings indicate that a second-order construct, named mysterious interaction, comprising perceived interactivity, perceived vividness, and mystery, can reduce social anxiety and positively impact flow. Novelty experience enhances flow for female users but increases social anxiety for all users. Notably, social anxiety unexpectedly showed a positive effect on flow. Based on these findings, we propose interaction design strategies that could aid in the development and optimization of RVC-VA platforms, providing specific parameters to assist designers in prioritizing and planning actionable steps. This study makes a significant contribution to the advancing of online social services and addressing users’ needs for online social interaction.

This study investigates the experiences and perceptions of audiences watching online music performances by children with autism, focusing on how the emotions and competence displayed by the children during the performances affect the audience's sense of immersion and acceptance. We conducted an online survey with 949 respondents, t-tests was used to compare the differences before and after the respondents watching the performance, and structural equation modeling was used to analyzed the path relationships among variables. The results showed that audience acceptance was significantly higher after watching the music performances (t = -6.104, p < 0.05). We found that the competence demonstrated during the performances had a medium effect on both the audience's sense of immersion (β = 0.337, p < 0.05) and acceptance (β = 0.211, p < 0.05). Emotions expressed through the performances also significantly influenced the audience's immersion (β = 0.323, p < 0.05) and had a large effect on their acceptance (β = 0.401, p < 0.05). Based on these findings, we propose the Music-Driven Acceptance Model (MDAM), which suggests that while fostering the competence of children with autism, teachers might consider placing instructional emphasis on guiding children to learn methods of expressing emotions through music.