AI-Based Chatbots in Metaverse Platforms

Abstract

This paper introduces a taxonomy of artificial intelligence (AI)-based chatbots within Metaverse platforms. Drawing on a systematic literature review of 59 academic publications and an analysis of 49 real-world AI-based chatbots deployed on Metaverse platforms, this study identifies the key dimensions, features, and corresponding archetypes of these systems. The resulting taxonomy comprises 11 dimensions and 62 specific features that characterize AI-based chatbots in Metaverse environments. Beyond systematizing their technological and interaction-related characteristics, the taxonomy highlights the business model dimension as a central differentiator. In particular, the findings show that AI-based chatbots in Metaverse platforms can be embedded in subscription-based licensing, pay-per-use, or feature-based licensing models, thereby supporting flexible monetization strategies across heterogeneous user segments. Overall, the taxonomy provides a structured foundation for analyzing, designing, and commercially positioning AI-based chatbots in Metaverse platforms.