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Front Row: Automatically Generating Immersive Audio Representations of Tennis Broadcasts for Blind Viewers

Authors:

Connor Courtien,

Xin Yi Therese Xu,

Michael Malcolm,

Brian A. SmithAuthors Info & Claims

UIST '23: Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology

Article No.: 39, Pages 1 - 17

https://doi.org/10.1145/3586183.3606830

Published: 29 October 2023 Publication History

All formats PDF

Abstract

Blind and low-vision (BLV) people face challenges watching sports due to the lack of accessibility of sports broadcasts. Currently, BLV people rely on descriptions from TV commentators, radio announcers, or their friends to understand the game. These descriptions, however, do not allow BLV viewers to visualize the action by themselves. We present Front Row, a system that automatically generates an immersive audio representation of sports broadcasts, specifically tennis, allowing BLV viewers to more directly perceive what is happening in the game. Front Row first recognizes gameplay from the video feed using computer vision, then renders players’ positions and shots via spatialized (3D) audio cues. User evaluations with 12 BLV participants show that Front Row gives BLV viewers a more accurate understanding of the game compared to TV and radio, enabling viewers to form their own opinions on players’ moods and strategies. We discuss future implications of Front Row and illustrate several applications, including a Front Row plug-in for video streaming platforms to enable BLV people to visualize the action in sports videos across the Web.

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Index Terms

Front Row: Automatically Generating Immersive Audio Representations of Tennis Broadcasts for Blind Viewers
1. Human-centered computing
  1. Accessibility
    1. Accessibility systems and tools
    2. Accessibility technologies

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Information

Published In

cover image ACM Conferences

UIST '23: Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology

October 2023

1825 pages

ISBN:9798400701320

DOI:10.1145/3586183

Editors:
Sean Follmer
Stanford University, USA
,
Jeff Han,
Jürgen Steimle
Saarland University, Germany
,
Nathalie Henry Riche
Microsoft Research, USA

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Publication History

Published: 29 October 2023

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Research-article
Research
Refereed limited

Funding Sources

National Science Foundation

Conference

UIST '23

Sponsor:

UIST '23: The 36th Annual ACM Symposium on User Interface Software and Technology

October 29 - November 1, 2023

CA, San Francisco, USA

Acceptance Rates

Overall Acceptance Rate 561 of 2,567 submissions, 22%

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UIST '25

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sigchi
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The 38th Annual ACM Symposium on User Interface Software and Technology

September 28 - October 1, 2025

Busan , Republic of Korea

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Cited By

Luo SLiu JHu B(2024)Hearing the Bullseye: An Auditory-Cued Archery Exergame for the Visually Impaired and Their Sighted Family and FriendsCompanion Proceedings of the 2024 Annual Symposium on Computer-Human Interaction in Play10.1145/3665463.3678829(384-391)Online publication date: 14-Oct-2024
https://dl.acm.org/doi/10.1145/3665463.3678829
Luo SLiu JHu B(2024)Designing a Safe Auditory-Cued Archery Exertion Game for the Visually Impaired and Sighted to Enjoy TogetherProceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3663548.3688510(1-6)Online publication date: 27-Oct-2024
https://dl.acm.org/doi/10.1145/3663548.3688510
Ning ZZhang ZBan JJiang KGan RTian YLi T(2024)MIMOSA: Human-AI Co-Creation of Computational Spatial Audio Effects on VideosProceedings of the 16th Conference on Creativity & Cognition10.1145/3635636.3656189(156-169)Online publication date: 23-Jun-2024
https://dl.acm.org/doi/10.1145/3635636.3656189
Ning ZWimer BJiang KChen KBan JTian YZhao YLi T(2024)SPICA: Interactive Video Content Exploration through Augmented Audio Descriptions for Blind or Low-Vision ViewersProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642632(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642632
Jiang LJung CPhutane MStangl AAzenkot S(2024)“It’s Kind of Context Dependent”: Understanding Blind and Low Vision People’s Video Accessibility Preferences Across Viewing ScenariosProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642238(1-20)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642238
Lee JLi YBunarto DLee EWang ORodriguez AZhao YTian YFroehlich J(2024)Towards AI-Powered AR for Enhancing Sports Playability for People with Low Vision: An Exploration of ARSports2024 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)10.1109/ISMAR-Adjunct64951.2024.00055(228-233)Online publication date: 21-Oct-2024
https://doi.org/10.1109/ISMAR-Adjunct64951.2024.00055

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