OmniScribe: Authoring Immersive Audio Descriptions for 360° Videos

要旨

Blind people typically access videos via audio descriptions (AD) crafted by sighted describers who comprehend, select, and describe crucial visual content in the videos. 360° video is an emerging storytelling medium that enables immersive experiences that people may not possibly reach in everyday life. However, the omnidirectional nature of 360° videos makes it challenging for describers to perceive the holistic visual content and interpret spatial information that is essential to create immersive ADs for blind people. Through a formative study with a professional describer, we identified key challenges in describing 360° videos and iteratively designed OmniScribe, a system that supports the authoring of immersive ADs for 360° videos. OmniScribe uses AI-generated content-awareness overlays for describers to better grasp 360° video content. Furthermore, OmniScribe enables describers to author spatial AD and immersive labels for blind users to consume the videos immersively with our mobile prototype. In a study with 11 professional and novice describers, we demonstrated the value of OmniScribe in the authoring workflow; and a study with 8 blind participants revealed the promise of immersive AD over standard AD for 360° videos. Finally, we discuss the implications of promoting 360° video accessibility.

著者
Ruei-Che Chang
National Taiwan University, Taipei, Taiwan
Chao-Hsien Ting
National Taiwan University , Taipei, Taiwan
Chia-Sheng Hung
National Taiwan University, Taipei, Taiwan
Wan-Chen Lee
National Taiwan University , Taipei , Taiwan
Liang-Jin Chen
National Taiwan University, Taipei, Taiwan
Yu-Tzu Chao
Audio Description Development Assoication, Taipie, Taiwan
Bing-Yu Chen
National Taiwan University, Taipei, Taiwan
Anhong Guo
University of Michigan, Ann Arbor, Michigan, United States
論文URL

https://doi.org/10.1145/3526113.3545613

会議: UIST 2022

The ACM Symposium on User Interface Software and Technology

セッション: Storytelling and Presentation

6 件の発表
2022-10-31 23:30:00
2022-11-01 01:00:00