Remotely Co-Designing Features for Communication Applications using Automatic Captioning with Deaf and Hearing Pairs
2022 CHI Conference on Human Factors in Computing Systems, CHI 2022
; 2022.
Article
in English
| Scopus | ID: covidwho-1874707
ABSTRACT
Deaf and Hard-of-Hearing (DHH) users face accessibility challenges during in-person and remote meetings. While emerging use of applications incorporating automatic speech recognition (ASR) is promising, more user-interface and user-experience research is needed. While co-design methods could elucidate designs for such applications, COVID-19 has interrupted in-person research. This study describes a novel methodology for conducting online co-design workshops with 18 DHH and hearing participant pairs to investigate ASR-supported mobile and videoconferencing technologies along two design dimensions Correcting errors in ASR output and implementing notification systems for influencing speaker behaviors. Our methodological findings include an analysis of communication modalities and strategies participants used, use of an online collaborative whiteboarding tool, and how participants reconciled differences in ideas. Finally, we present guidelines for researchers interested in online DHH co-design methodologies, enabling greater geographically diversity among study participants even beyond the current pandemic. © 2022 ACM.
Accessibility; Automatic Speech Recognition; Deaf and Hard-of-Hearing; Participatory Design; Videoconferencing; Audition; Design; Online systems; Speech recognition; User interfaces; Co-designing; Co-designs; Codesign method; Communication application; Hard of hearings; Novel methodology; User experience research; Video conferencing
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
2022 CHI Conference on Human Factors in Computing Systems, CHI 2022
Year:
2022
Document Type:
Article
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