@inproceedings{c8e3d1992c2e49c3a2ae9e73f55f32f1,
title = "PAWdio: Hand input for mobile VR using acoustic sensing",
abstract = "Hand input offers a natural, efficient and immersive form of input for virtual reality (VR), but it has been difficult to implement on mobile VR platforms. Accurate hand-tracking requires a depth sensor and performing computer vision on a smartphone is computationally intensive, which may degrade the frame rate of a VR simulation and drain battery life. PAW-dio is a novel 1 degree of freedom (DOF) hand input technique that uses acoustic sensing to track the relative position of an earbud from a headset that the user holds in their hand. PAW-dio requires no instrumentation and its low computational overhead assures a high frame rate. A user study with 18 subjects evaluates PAWdio with button input that is commonly available on VR adapters. Results with a 3D target selection task found a similar accuracy and usability, a significantly slower performance, but higher immersion for PAWdio. We discuss limitations and game applications of PAWdio.",
keywords = "Acoustic sensing, virtual reality, Games, Hand tracking, Head-mounted display, Immersion, Natural input, Switch input",
author = "{Al Zayer}, Majed and Sam Tregillus and Eelke Folmer",
year = "2016",
month = oct,
day = "16",
doi = "10.1145/2967934.2968079",
language = "English",
series = "CHI PLAY 2016 - Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play",
publisher = "Association for Computing Machinery, Inc",
pages = "154--158",
booktitle = "CHI PLAY 2016 - Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play",
note = "3rd ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play, CHI PLAY 2016 ; Conference date: 16-10-2016 Through 19-10-2016",
}