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

Sidenmark, Ludwig and Prummer, Franziska and Newn, Joshua and Gellersen, Hans (2023) Comparing Gaze, Head and Controller Selection of Dynamically Revealed Targets in Head-mounted Displays. IEEE Transactions on Visualization and Computer Graphics, 29 (11). 4740 - 4750. ISSN 1077-2626

[thumbnail of Peephole_Pointing_in_Virtual_Reality_Preprint]
Text (Peephole_Pointing_in_Virtual_Reality_Preprint)
Peephole_Pointing_in_Virtual_Reality_Preprint.pdf - Accepted Version
Available under License Creative Commons Attribution.

Download (5MB)

Abstract

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.

Item Type:
Journal Article
Journal or Publication Title:
IEEE Transactions on Visualization and Computer Graphics
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1712
Subjects:
?? 3d interactionlensesmathematical modelsperformance evaluationpointingresistsselection performancetask analysisthree-dimensional displaysvirtual realityvisualizationsoftwaresignal processingcomputer vision and pattern recognitioncomputer graphics and compu ??
ID Code:
198733
Deposited By:
Deposited On:
17 Jul 2023 10:50
Refereed?:
Yes
Published?:
Published
Last Modified:
14 Nov 2024 01:28