ChaMEleon: Identity-Adjustable Remote Collaboration System in Virtual Reality

Abstract

Recent advancements in virtual reality (VR) technology have revolutionized remote collaboration; however, existing platforms often constrain users' natural identity expression through limited avatar customization and fixed voice options. We propose ChaMEleon, a novel VR-based system that enables dynamic identity adjustment through customizable avatars and voice modulation across various collaborative contexts. The system allows users to modify their visual and auditory representations according to specific interaction scenarios such as problem-solving, brainstorming, and networking. Through experiments with 12 participants across different collaborative tasks, results demonstrated that the anonymous identity improved problemsolving efficiency and reduced user fatigue, while realistic identities enhanced engagement and satisfaction levels. This research contributes to the field by providing empirically validated design guidelines for context-appropriate identity selection in VR-based remote collaboration, ultimately promoting more effective and inclusive virtual interactions.