Paper Info
Title
Augmented Reality Fitts' Law Input Comparison Between Touchpad, Pointing Gesture, and Raycast
Abstract
With the goal of exploring the impact of transparency on selection in augmented reality (AR), we present a Fitts' law experiment with 18 participants, comparing three different input methods (finger based Pointing Gesture, controller using the Touchpad, and controller using Raycast), across 4 different target transparency levels (0%, 30%, 60%, and 90%) in an optical see-through AR head-mounted display. The results indicate that transparency has little effect on selection throughput and error rates. Overall, the Raycast input method performed significantly better than the pointing gesture and Touchpad inputs in terms of error rate and throughput in all opacity conditions.
Year
DOI
Venue
2022
10.1109/VRW55335.2022.00146
2022 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES ABSTRACTS AND WORKSHOPS (VRW 2022)
Keywords
DocType
Citations 
Human-centered computing, Human computer interaction (HCI), Interaction techniques, Pointing, Human-centered computing, Human computer interaction (HCI), Interaction paradigms, Mixed / augmented reality
Conference
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Domenick M. Mifsud100.34
Adam S. Williams2123.38
Francisco R. Ortega3329.27
Robert J. Teather432933.04