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  • Final Accepted Version

    Rights statement: © ACM, 2019. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in UIST '19 Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology http://doi.acm.org/10.1145/3332165.3347921

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Eye&Head: Synergetic Eye and Head Movement for Gaze Pointing and Selection

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published
Publication date20/10/2019
Host publicationUIST '19 Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology
Place of PublicationNew York
PublisherACM
Pages1161-1174
Number of pages14
ISBN (electronic)9781450368162
<mark>Original language</mark>English

Abstract

Eye gaze involves the coordination of eye and head movement to acquire gaze targets, but existing approaches to gaze pointing are based on eye-tracking in abstraction from head motion. We propose to leverage the synergetic movement of eye and head, and identify design principles for Eye&Head gaze interaction. We introduce three novel techniques that build on the distinction of head-supported versus eyes-only gaze, to enable dynamic coupling of gaze and pointer, hover interaction, visual exploration around pre-selections, and iterative and fast confirmation of targets. We demonstrate Eye&Head interaction on applications in virtual reality, and evaluate our techniques against baselines in pointing and confirmation studies. Our results show that Eye&Head techniques enable novel gaze behaviours that provide users with more control and flexibility in fast gaze pointing and selection.

Bibliographic note

© ACM, 2019. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in UIST '19 Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology http://doi.acm.org/10.1145/3332165.3347921