Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
5-2020
Abstract
Mobile augmented reality - where a mobile device is used to view and interact with virtual objects displayed in the real world - is becoming more common. Target selection is the main method of interaction in mobile AR, but is particularly difficult because targets in AR can have challenging characteristics such as being moving or occluded (by digital or real world objects). Because target selection is particularly difficult and error prone in mobile AR, we conduct a comparative study of target assistance techniques. We compared four different cursor-based selection techniques against the standard touch-to-select interaction, finding that a newly adapted Bubble Cursor-based technique performs consistently best across five different target characteristics. Our work provides new findings demonstrating the promise of cursorbased target assistance in mobile AR.
Keywords
Augmented reality, Mobile augmented reality, Mobile devices, Pointing assistance, Target assistance
Discipline
Graphics and Human Computer Interfaces
Research Areas
Information Systems and Management
Publication
Proceedings of Graphics Interface 2020, University of Toronto, May 28-29
First Page
1
Last Page
10
Publisher
Canadian Information Processing Society
City or Country
Toronto, Canada
Citation
ASOKAN, Vinod; BATEMAN, Scott; and TANG, Anthony.
Assistance for target selection in mobile augmented reality. (2020). Proceedings of Graphics Interface 2020, University of Toronto, May 28-29. 1-10.
Available at: https://ink.library.smu.edu.sg/sis_research/7958
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.