@inproceedings{10.1145/3562939.3565635,
author = {Elsayed, Hesham and Kartono, Kenneth and Sch\"{o}n, Dominik and Schmitz, Martin and M\"{u}hlh\"{a}user, Max and Weigel, Martin},
title = {Understanding Perspectives for Single- and Multi-Limb Movement Guidance in Virtual 3D Environments},
year = {2022},
isbn = {9781450398893},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3562939.3565635},
doi = {10.1145/3562939.3565635},
abstract = {Movement guidance in virtual reality has many applications ranging from physical therapy, assistive systems to sport learning. These movements range from simple single-limb to complex multi-limb movements. While VR supports many perspectives – e.g., first person and third person – it remains unclear how accurate these perspectives communicate different movements. In a user study (N=18), we investigated the influence of perspective, feedback, and movement properties on the accuracy of movement guidance. Participants had on average an angle error of 6.2° for single arm movements, 7.4° for synchronous two arm movements, and 10.3° for synchronous two arm and leg movements. Furthermore, the results show that the two variants of third-person perspectives outperform a first-person perspective for movement guidance (19.9\% and 24.3\% reduction in angle errors). Qualitative feedback confirms the quantitative data and shows users have a clear preference for third-person perspectives. Through our findings we provide guidance for designers and developers of future VR movement guidance systems.},
booktitle = {28th ACM Symposium on Virtual Reality Software and Technology},
articleno = {34},
numpages = {10},
keywords = {Movement guidance, virtual reality, body visualization},
location = {Tsukuba, Japan},
series = {VRST '22}
}