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PubMed Publications| Keyword search (4,163 papers available) |  |
"Batmaz AU" Authored Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Before hands disappear: Effect of early warning visual feedback method for hand tracking failures in virtual reality | Gemici M; Phadnis V; Batmaz AU; | 40493551 ENCS |
| 2 | Effects of color cues on eye-hand coordination training with a mirror drawing task in virtual environment | Alrubaye Z; Hudhud Mughrabi M; Manav B; Batmaz AU; | 38288362 ENCS |
| Title: | Before hands disappear: Effect of early warning visual feedback method for hand tracking failures in virtual reality | ||||
| Authors: | Gemici M, Phadnis V, Batmaz AU | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/40493551/ | ||||
| DOI: | 10.1371/journal.pone.0323796 | ||||
| Publication: | PloS one | ||||
| Keywords: | |||||
| PMID: | 40493551 | Category: | Date Added: | 2025-06-10 | |
| Dept Affiliation: |
ENCS
1 Department of Computer Science & Software Engineering, Concordia University, Montreal, Quebec, Canada. 2 Google, Mountain View, California, United States of America. |
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Description: |
Virtual hand representation in Head-Mounted Displays (HMDs) offers immersive and intuitive interactions in Virtual Reality (VR). However, current hand tracking algorithms are prone to errors, which can disrupt the user experience and hinder task performance. This paper presents a novel method for providing users with visual feedback when the quality of hand tracking decreases. Our approach employs a notification modal that warns users of potential failures. We identified three common hand tracking failure scenarios and evaluated the effectiveness of our method in two distinct VR tasks: object manipulation and complex assembly tasks. Results show that our early warning system reduces task completion time, lowers hand-tracking failures by up to 83%, decreases errors, improves system usability, and reduces cognitive load. This work contributes to the development of more robust and user-friendly VR HMD applications by enhancing hand tracking reliability, usability, and workload. |
