A Study of Preference and Comfort for Users Immersed in a Telepresence Robot
Adhi Widagdo, Markku Suomalainen, Basak Sakcak, Katherine J. Mimnaugh,, Juho Kalliokoski, Alexis P. Chambers, Timo Ojala, and Steven M. LaValle

TL;DR
This study investigates how unwinding rotations in immersive telepresence robots affects user comfort and presence, finding user preference for unwinding despite no significant difference in VR sickness in real-world conditions.
Contribution
It provides empirical evidence on user preferences and perceived presence in real telepresence robot scenarios, extending prior simulation-based research.
Findings
Participants preferred unwinding for perceived presence.
No significant difference in VR sickness between conditions.
Distances perceived were consistent with simulation results.
Abstract
In this paper, we show that unwinding the rotations of a user immersed in a telepresence robot is preferred and may increase the feeling of presence or "being there". By immersive telepresence, we mean a scenario where a user wearing a head-mounted display embodies a mobile robot equipped with a 360{\deg} camera in another location, such that the user can move the robot and communicate with people around it. By unwinding the rotations, the user never perceives rotational motion through the head-mounted display while staying stationary, avoiding sensory mismatch which causes a major part of VR sickness. We performed a user study (N=32) on a Dolly mobile robot platform, mimicking an earlier similar study done in simulation. Unlike the simulated study, in this study there is no significant difference in the VR sickness suffered by the participants, or the condition they find more…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsVirtual Reality Applications and Impacts · Visual Attention and Saliency Detection · Advanced Vision and Imaging
