Sparing User Time with a Socially-Aware Independent Metaverse Avatar

2026-01-16

AI Summary

This study addresses the inefficiency in users’ social time allocation and the frequent occurrence of social conflicts in the metaverse by proposing a computational framework grounded in evolutionary anthropology. The approach introduces autonomous, interactive virtual avatars to partially substitute for real-world social interactions. It uniquely integrates an evolutionary anthropology–driven quantitative model of social behavior with an autonomous avatar mechanism, formulating a constrained NP-hard optimization problem that accounts for social limitations and potential conflicts. An efficient heuristic algorithm is designed to solve this problem. Large-scale simulations demonstrate that the proposed paradigm significantly enhances social connectivity and efficiency, effectively conserving users’ time while maintaining social quality, thereby offering a novel pathway for optimizing social resources in the metaverse.

Technology Category

• Humans and AI: Game Design — Virtual Humans, NPCs and Autonomous Characters
• Search and Optimization: Metareasoning and Metaheuristics
• Cognitive Modeling & Cognitive Systems: Social Cognition And Interaction

Application Category

• User Modeling, Personalization and Recommendation: User modeling and simulation for interactive and conversational systems
• Social Networks and Social Media: Generative AI / large language models and their impact on social systems
• Economics, Online Markets and Human Computation: Sustainability of Web economics

Abstract

The Metaverse is redefining digital interactions by merging physical, virtual, and social dimensions, yet its effects on social networking remain largely unexplored. This work examines the role of independent avatars (autonomous digital entities capable of managing social interactions on behalf of users), to optimize social time allocation and reshape Metaverse-based Online Social Networks. We propose a novel computational model that integrates a quantitative and realistic representation of user social life, grounded in evolutionary anthropology, with a framework for avatar-mediated interactions. Our model quantifies the effectiveness of a partial replacement of in-person interactions with independent avatar interactions. Additionally, it accounts for social conflicts and specific socialization constraints. We leverage our model to explore the benefits and trade-offs of an avatar-augmented social life in the Metaverse. Since the exact problem formulation leads to an NP-hard optimization problem when incorporating avatars into the social network, we tackle this challenge by introducing a heuristic solution. Through simulations, we compare avatar-mediated and non-avatar-mediated social networking, demonstrating the potential of independent avatars to enhance social connectivity and efficiency. Our findings provide a foundation for optimizing Metaverse-based social interactions, as well as useful insights for future digital social network design.

Problem

• Metaverse
• independent avatar
• social networking
• time allocation
• social interaction

Innovation

• independent avatar
• Metaverse social networking
• social time optimization
• NP-hard heuristic
• avatar-mediated interaction