Comparing Gaze, Head and Controller Selection of Dynamically Revealed Targets in Head-mounted Displays

Ludwig Sidenmark, Franziska Prummer, Joshua Newn and Hans Gellersen

TVCG: IEEE Transactions on Visualization and Computer Graphics

This paper presents a head-mounted virtual reality study that compared gaze, head, and controller pointing for selection of dynamically revealed targets. Existing studies on head-mounted 3D interaction have focused on pointing and selection tasks where all targets are visible to the user. Our study compared the effects of screen width (field of view), target amplitude and width, and prior knowledge of target location on modality performance. Results show that gaze and controller pointing are significantly faster than head pointing and that increased screen width only positively impacts performance up to a certain point. We further investigated the applicability of existing pointing models. Our analysis confirmed the suitability of previously proposed two-component models for all modalities while uncovering differences for gaze at known and unknown target positions. Our findings provide new empirical evidence for understanding input with gaze, head, and controller and are significant for applications that extend around the user.

Ludwig Sidenmark, Franziska Prummer, Joshua Newn and Hans Gellersen. 2023. Comparing Gaze, Head and Controller Selection of Dynamically Revealed Targets in Head-mounted Displays. In IEEE Transactions on Visualization and Computer Graphics (ISMAR ’23).

 

BibTex

@ARTICLE{10.1109/TVCG.2023.3320235, 
	author= {Ludwig Sidenmark and Franziska Prummer and Joshua Newn and Hans Gellersen}, 
	title= {Comparing Gaze, Head and Controller Selection of Dynamically Revealed Targets in Head-mounted Displays},  
	year = {2023}, 
	publisher = {IEEE Computer Society},
	journal = {IEEE Transactions on Visualization & Computer Graphics}, 
	doi = {10.1109/TVCG.2023.3320235}, 
	url = {https://doi.org/10.1109/TVCG.2023.3320235}, 
}