A Fitts’ Law Study of Gaze-Hand Alignment for Selection in 3D User Interfaces

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Abstract

Gaze-Hand Alignment has recently been proposed for multimodal selection in 3D. The technique takes advantage of gaze for target pre-selection, as it naturally precedes manual input. Selection is then completed when manual input aligns with gaze on the target, without need for an additional click method. In this work we evaluate two alignment techniques, Gaze&Finger and Gaze&Handray, combining gaze with image plane pointing versus raycasting, in comparison with hands-only baselines and Gaze&Pinch as established multimodal technique. We used Fitts' Law study design with targets presented at different depths in the visual scene, to assess effect of parallax on performance. The alignment techniques outperformed their respective hands-only baselines. Gaze&Finger is efficient when targets are close to the image plane but less performant with increasing target depth due to parallax.

OriginalsprogEngelsk
TitelCHI '23 : Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
RedaktørerAlbrecht Schmidt, Kaisa Väänänen, Tesh Goyal, Per Ola Kristensson, Anicia Peters, Stefanie Mueller, Julie R. Williamson, Max L. Wilson
UdgivelsesstedNew York
ForlagAssociation for Computing Machinery
Publikationsdatoapr. 2023
Artikelnummer252
ISBN (Elektronisk)9781450394215
DOI
StatusUdgivet - apr. 2023

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