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Investigating Sign Language Interpreter Rendering and Guiding Methods in Virtual Reality 360-Degree Content

Published: 22 October 2022 Publication History

Abstract

As sign languages are often the native languages for members of the Deaf community, text captioning can be inaccessible, highlighting the importance of sign language interpretation. This research explores sign language in virtual reality 360-degree three degrees of freedom videos, exploring two rendering modes, fixed-position and always-visible, and two visual guiding methods, arrows and radar. Findings from testing with eight participants indicates that fixed-position rendering provides participants with a greater sense of presence than always-visible rendering, whilst always-visible rendering produces less of a blocking effect. Arrows appear more usable than radar for visually guiding participants to active speakers, including providing a higher level of sign language understanding. Future research is needed to validate these findings with six degrees of freedom content.

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    cover image ACM Conferences
    ASSETS '22: Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility
    October 2022
    902 pages
    ISBN:9781450392587
    DOI:10.1145/3517428
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 22 October 2022

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    Author Tags

    1. 360-Degree Video
    2. Extended Reality
    3. Sign Language
    4. Virtual Reality

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    ASSETS '22 Paper Acceptance Rate 35 of 132 submissions, 27%;
    Overall Acceptance Rate 436 of 1,556 submissions, 28%

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