Maximizing the guessability of symbolic input
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Multimodal Interaction with a Wearable Augmented Reality System
IEEE Computer Graphics and Applications
User-defined gestures for surface computing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
User-defined motion gestures for mobile interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Optical-Flow Perspective Invariant Registration
DICTA '11 Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications
HoloDesk: direct 3d interactions with a situated see-through display
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Framed guessability: using embodied allegories to increase user agreement on gesture sets
Proceedings of the 8th International Conference on Tangible, Embedded and Embodied Interaction
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Recently there has been an increase in research of hand gestures for interaction in the area of Augmented Reality (AR). However this research has focused on developer designed gestures, and little is known about user preference and behavior for gestures in AR. In this paper, we present the results of a guessability study focused on hand gestures in AR. A total of 800 gestures have been elicited for 40 selected tasks from 20 partic-ipants. Using the agreement found among gestures, a user-defined gesture set was created to guide design-ers to achieve consistent user-centered gestures in AR.