Improving VR Selection using Progressive Refinement with Multi-Touch Marking Menus
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Many selection techniques have been introduced to improve selection performance; nonetheless, 3D selection is still cumbersome. We developed a technique to improve selection time and accuracy concurrently. Our technique, Multi-Touch Progressive Refinement (MTPR), enhanced conventional progressive refinement's quad menu object selection by using CountMarks, a multi-finger touch-based technique previously developed to facilitate marking menu selection on smartphones. In a first user study, we compared our technique with progressive refinement and multi-touch in terms of selection time, and accuracy. The results showed that the multi-touch was fastest and progressive refinement was most accurate. However, we found that participants were slightly confused by MTPR. Therefore, we enhanced our technique by ordering objects inside menu and labelling them. We ran a second study comparing our Improved Multi-Touch Progressive Refinement Selection Strategy (IMPReSS) with the previous two techniques. The result demonstrated that IMPReSS was the fastest and most accurate of all the techniques evaluated.
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Copyright © 2021 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.
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- 2021
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samimi-improvingvrselectionusingprogressiverefinement.pdf | 2023-05-05 | Public | Download |