Caption Royale: Exploring the Design Space of Affective Captions from the Perspective of Deaf and Hard-of-Hearing Individuals

要旨

Affective captions employ visual typographic modulations to convey a speaker's emotions, improving speech accessibility for Deaf and Hard-of-Hearing (DHH) individuals. However, the most effective visual modulations for expressing emotions remain uncertain. Bridging this gap, we ran three studies with 39 DHH participants, exploring the design space of affective captions, which include parameters like text color, boldness, size, and so on. Study 1 assessed preferences for nine of these styles, each conveying either valence or arousal separately. Study 2 combined Study 1's top-performing styles and measured preferences for captions depicting both valence and arousal simultaneously. Participants outlined readability, minimal distraction, intuitiveness, and emotional clarity as key factors behind their choices. In Study 3, these factors and an emotion-recognition task were used to compare how Study 2's winning styles performed versus a non-styled baseline. Based on our findings, we present the two best-performing styles as design recommendations for applications employing affective captions.

受賞
Honorable Mention
著者
Caluã de Lacerda Pataca
Rochester Institute of Technology, Rochester, New York, United States
Saad Hassan
Tulane University, New Orleans, Louisiana, United States
Nathan Tinker
Rochester Institute of Technology, Rochester, New York, United States
Roshan L. Peiris
Rochester Institute of Technology, Rochester, New York, United States
Matt Huenerfauth
Rochester Institute of Technology, Rochester, New York, United States
論文URL

https://doi.org/10.1145/3613904.3642258

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Supporting Accessibility of Text, Image and Video B

313B
5 件の発表
2024-05-14 23:00:00
2024-05-15 00:20:00