Comparative Analysis of Human vs. AI-powered Support in VRChat Communities on Discord: User Engagement, Response Dynamics and Interaction Patterns
He Zhang, Bumjin Kim, John M. Carroll, Jie Cai

TL;DR
This study compares human and AI support in VRChat Discord channels, analyzing user engagement, response dynamics, and interaction patterns to identify advantages and limitations of AI-driven support.
Contribution
It provides a detailed analysis of user interactions and attitudes towards AI versus human support in online communities, highlighting unique patterns and insights.
Findings
AI support shows different response times and engagement levels compared to human support.
Users exhibit distinct attitudes and interaction patterns with AI versus human support.
The study offers recommendations for optimizing AI and human support systems in online communities.
Abstract
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…
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