Evaluating Object Manipulation Interaction Techniques in Mixed Reality: Tangible User Interfaces and Gesture
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Affiliation
School of Information, University of ArizonaIssue Date
2021-03Keywords
Augmented realityEvaluation
Human-centered computing
Human computer interaction (HCI)
Interaction paradigms
Virtual reality
Mixed reality
Object manipulation
Tangible user interfaces
User experience
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IEEECitation
Bozgeyikli, E., & Bozgeyikli, L. L. (2021). Evaluating object manipulation interaction techniques in mixed reality: Tangible user interfaces and gesture. Proceedings - 2021 IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2021, 778–787.Rights
© 2021 IEEE.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Tangible user interfaces (TUIs) have been widely studied in computer, virtual reality and augmented reality systems and are known to improve user experience in these mediums. However, there have been few evaluations of TUIs in wearable mixed reality (MR). In this study, we present the results from a comparative study evaluating three object manipulation techniques in wearable MR: (1) Space-multiplexed identical-formed TUI (i.e., a physical cube that acted as a dynamic tangible proxy with identical real and virtual forms); (2) Time-multiplexed TUI (i.e., a tangible controller that was used to manipulate virtual content); (3) Hand gesture (i.e., reaching, pinching and moving the hand to manipulate virtual content). The interaction techniques were compared with a user study with 42 participants. Results revealed that the tangible cube and the controller interaction methods were comparative to each other while both being superior to the hand gesture interaction method in terms of user experience, performance, and presence. We also present suggestions for interaction design for MR based on our findings. © 2021 IEEE.Note
Immediate accessVersion
Final accepted manuscriptae974a485f413a2113503eed53cd6c53
10.1109/vr50410.2021.00105
