No 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 diferent depths in the visual scene, to assess efect of parallax on performance. The alignment techniques outperformed their respective hands-only baselines. Gaze&Finger is efcient when targets are close to the image plane but less performant with increasing target depth due to parallax. CCS CONCEPTS• Human-centered computing → Mixed / augmented reality; Pointing; Interaction design theory, concepts and paradigms.