Thiel, Felix J;
Steed, Anthony;
(2022)
Developing an Accessibility Metric for VR Games Based on Motion Data Captured Under Game Conditions.
Frontiers in Virtual Reality
, 3
, Article 909357. 10.3389/frvir.2022.909357.
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Abstract
Virtual Reality (VR) games are not as accessible as conventional video games because they heavily rely on the motion of the body as the main means of input. This causes large accessibility issues because it prevents some physically impaired players from using them. It also makes it more difficult to develop accessibility tools to address the issues. Given these challenges, it is of particular importance that an impaired player can determine whether they will be able to play a game before they buy it. We propose the first prototype of a metric that aims at visually presenting the important aspects of the body motion that a game requires. Instead of manual classification, the metric is based on data captured from able-bodied players that play the game as designed. In this work, we introduce the metric itself, demonstrate how it differentiates six popular VR games based on data we collected in a user study, and discuss limitations and routes for further development.
| Type: | Article |
|---|---|
| Title: | Developing an Accessibility Metric for VR Games Based on Motion Data Captured Under Game Conditions |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.3389/frvir.2022.909357 |
| Publisher version: | https://doi.org/10.3389/frvir.2022.909357 |
| Language: | English |
| Additional information: | © 2022 Thiel and Steed. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
| Keywords: | virtual reality, accessibility, motion analysis, video games, user study, motion capture |
| UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10154126 |
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