@inproceedings{3379155.3391312,

title = {BimodalGaze: Seamlessly Refined Pointing with Gaze and Filtered Gestural Head Movement},

author = {Ludwig Sidenmark and Diako Mardanbegi and Argenis Ramirez Gomez and Christopher Clarke and Hans Gellersen},

url = {https://doi.org/10.1145/3379155.3391312},

doi = {10.1145/3379155.3391312},

isbn = {9781450371339},

year  = {2020},

date = {2020-01-01},

booktitle = {ACM Symposium on Eye Tracking Research and Applications},

publisher = {Association for Computing Machinery},

address = {Stuttgart, Germany},

series = {ETRA '20 Full Papers},

abstract = {Eye gaze is a fast and ergonomic modality for pointing but limited in precision and accuracy. In this work, we introduce BimodalGaze, a novel technique for seamless head-based refinement of a gaze cursor. The technique leverages eye-head coordination insights to separate natural from gestural head movement. This allows users to quickly shift their gaze to targets over larger fields of view with naturally combined eye-head movement, and to refine the cursor position with gestural head movement. In contrast to an existing baseline, head refinement is invoked automatically, and only if a target is not already acquired by the initial gaze shift. Study results show that users reliably achieve fine-grained target selection, but we observed a higher rate of initial selection errors affecting overall performance. An in-depth analysis of user performance provides insight into the classification of natural versus gestural head movement, for improvement of BimodalGaze and other potential applications.},

keywords = {Eye tracking, Eye-head coordination, gaze interaction, Gaze interaction in 3D (VR/AR/MR & real world), Gaze-supported multimodal interaction, Refinement, Virtual reality},

pubstate = {published},

tppubtype = {inproceedings}

}