Improving VR Selection using Progressive Refinement with Multi-Touch Marking Menus

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Creator: 

Samimi, Elaheh

Date: 

2021

Abstract: 

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.

Subject: 

Education - Technology

Language: 

English

Publisher: 

Carleton University

Thesis Degree Name: 

Master of Information Technology: 
M.I.T.

Thesis Degree Level: 

Master's

Thesis Degree Discipline: 

Digital Media

Parent Collection: 

Theses and Dissertations

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