Comparative Analysis of Human vs. AI-powered Support in VRChat Communities on Discord: User Engagement, Response Dynamics and Interaction Patterns
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arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| Acceso en línea: | |
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| _version_ | 1866908990042013696 |
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| author | Zhang, He Kim, Bumjin Carroll, John M. Cai, Jie |
| author_facet | Zhang, He Kim, Bumjin Carroll, John M. Cai, Jie |
| contents | The integration of AI-driven support systems within online communities has opened new avenues for enhancing user engagement and support efficiency in recent years. This study investigates the differences in user interactions and engagement within two distinct support channels on the VRChat Discord server: "user support," where human users provide assistance to peers, and "AI support," where an AI chatbot addresses user queries. By analyzing user engagement, response dynamics, and interaction patterns across these channels, we uncover different usage patterns and user attitudes toward each approach. Our research employs both quantitative and qualitative methods to explore the trends in the VRChat community when using AI and user support, highlighting the unique advantages and limitations of AI-driven support compared to traditional human assistance. The findings offer valuable insights into optimizing AI and human support systems, aiming to foster more effective support strategies and create more engaging online communities. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_21963 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Comparative Analysis of Human vs. AI-powered Support in VRChat Communities on Discord: User Engagement, Response Dynamics and Interaction Patterns Zhang, He Kim, Bumjin Carroll, John M. Cai, Jie Human-Computer Interaction The integration of AI-driven support systems within online communities has opened new avenues for enhancing user engagement and support efficiency in recent years. This study investigates the differences in user interactions and engagement within two distinct support channels on the VRChat Discord server: "user support," where human users provide assistance to peers, and "AI support," where an AI chatbot addresses user queries. By analyzing user engagement, response dynamics, and interaction patterns across these channels, we uncover different usage patterns and user attitudes toward each approach. Our research employs both quantitative and qualitative methods to explore the trends in the VRChat community when using AI and user support, highlighting the unique advantages and limitations of AI-driven support compared to traditional human assistance. The findings offer valuable insights into optimizing AI and human support systems, aiming to foster more effective support strategies and create more engaging online communities. |
| title | Comparative Analysis of Human vs. AI-powered Support in VRChat Communities on Discord: User Engagement, Response Dynamics and Interaction Patterns |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2604.21963 |