VR-based motion guidance systems can provide 3D movement instructions and real-time feedback for practicing movement without a live instructor. However, the precise visualization of movement paths or postures may be insufficient to learn a new motor skill, as they might make users too dependent and lead to poor performance when there is no guidance. In this paper, we propose to use enhanced error visualization, asymptotic path, increasing transparency, and haptic constraint to improve the memorability of motion guidance. Our study results indicated that adding an enhanced error feedback visualization helped the users with short-term retention.
%0 Conference Paper
%1 gebhardt2023auxiliary
%A Gebhardt, Patrick
%A Weiß, Maximilian
%A Huszár, Pascal
%A Yu, Xingyao
%A Achberger, Alexander
%A Zhang, Xiaobing
%A Sedlmair, Michael
%B 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)
%D 2023
%K EXC2075 PN7 PN7-1(II)Sedlmair PN7-1.3 curated
%P 689-690
%R 10.1109/VRW58643.2023.00187
%T Auxiliary Means to Improve Motion Guidance Memorability in Extended Reality
%X VR-based motion guidance systems can provide 3D movement instructions and real-time feedback for practicing movement without a live instructor. However, the precise visualization of movement paths or postures may be insufficient to learn a new motor skill, as they might make users too dependent and lead to poor performance when there is no guidance. In this paper, we propose to use enhanced error visualization, asymptotic path, increasing transparency, and haptic constraint to improve the memorability of motion guidance. Our study results indicated that adding an enhanced error feedback visualization helped the users with short-term retention.
@inproceedings{gebhardt2023auxiliary,
abstract = {VR-based motion guidance systems can provide 3D movement instructions and real-time feedback for practicing movement without a live instructor. However, the precise visualization of movement paths or postures may be insufficient to learn a new motor skill, as they might make users too dependent and lead to poor performance when there is no guidance. In this paper, we propose to use enhanced error visualization, asymptotic path, increasing transparency, and haptic constraint to improve the memorability of motion guidance. Our study results indicated that adding an enhanced error feedback visualization helped the users with short-term retention.},
added-at = {2023-06-14T09:44:30.000+0200},
author = {Gebhardt, Patrick and Weiß, Maximilian and Huszár, Pascal and Yu, Xingyao and Achberger, Alexander and Zhang, Xiaobing and Sedlmair, Michael},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/29617c69df8e8c9d7997e6f22c2bcc2d6/simtech},
booktitle = {2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)},
doi = {10.1109/VRW58643.2023.00187},
interhash = {c992857b87d2e6ee7a413ba306b2be4c},
intrahash = {9617c69df8e8c9d7997e6f22c2bcc2d6},
keywords = {EXC2075 PN7 PN7-1(II)Sedlmair PN7-1.3 curated},
month = {March},
pages = {689-690},
timestamp = {2024-06-21T18:11:21.000+0200},
title = {Auxiliary Means to Improve Motion Guidance Memorability in Extended Reality},
year = 2023
}
