What question did this study set out to answer?

This research aims to enhance avatar positioning in augmented reality telepresence by using activity and context awareness.

Act-Env matching: activity and context-aware avatar positioning for telepresence in heterogeneous environments

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Randomized trial demonstrates improved avatar placement in varied environments, suggesting increased user preference and experience.

This research aims to enhance avatar positioning in augmented reality telepresence by using activity and context awareness.
Developed an activity- and context-aware avatar positioning method called Act-Env Matching using a multimodal large language model.
Extracted keyframes from the local environment video to determine appropriate avatar placement.
Back-projected pixel locations to 3D coordinates using depth maps.
Participants preferred the activity- and context-matched avatar placements over traditional methods.
The system successfully positioned avatars without requiring spatial similarity between local and remote environments.
Two experiments indicated that users perceived the placements as appropriate.

Deguchi et al. (2026) studied this question.

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