Infosonics: Accessible Infographics for People who are Blind using Sonification and Voice

要旨

Data visualisations are increasingly used online to engage readers and enable independent analysis of the data underlying news stories. However, access to such infographics is problematic for readers who are blind or have low vision (BLV). Equitable access to information is a basic human right and essential for independence and inclusion. We introduce infosonics, the audio equivalent of infographics, as a new style of interactive sonification that uses a spoken introduction and annotation, non-speech audio and sound design elements to present data in an understandable and engaging way. A controlled user evaluation with 18 BLV adults found a COVID-19 infosonic enabled a clearer mental image than a traditional sonification. Further, infosonics prove complementary to text descriptions and facilitate independent understanding of the data. Based on our findings, we provide preliminary suggestions for infosonics design, which we hope will enable BLV people to gain equitable access to online news and information.

著者
Leona M. Holloway
Monash University, Melbourne, VIC, Australia
Cagatay Goncu
Monash University, Melbourne, Victoria, Australia
Alon Ilsar
Monash University, Melbourne, Victoria, Australia
Matthew Butler
Monash University, Melbourne, Australia
Kim Marriott
Monash University, Melbourne, Australia
論文URL

https://dl.acm.org/doi/abs/10.1145/3491102.3517465

動画

会議: CHI 2022

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2022.acm.org/)

セッション: Accessibility and Data Visualization

383-385
5 件の発表
2022-05-03 23:15:00
2022-05-04 00:30:00