Remotely Co-Designing Features for Communication Applications using Automatic Captioning with Deaf and Hearing Pairs

Remotely Co-Designing Features for Communication Applications using Automatic Captioning with Deaf and Hearing Pairs
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使用自动字幕与失聪者和听力正常者一起远程共同设计通信应用程序的功能

DOI:
10.1145/3491102.3501843
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发表时间:
2022
期刊:
Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI '22
影响因子:
--
通讯作者:
Huenerfauth, Matt
Huenerfauth, Matt
中科院分区:
--
文献类型:
--
作者:
Seita, Matthew;Lee, Sooyeon;Andrew, Sarah;Shinohara, Kristen;Huenerfauth, Matt

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聋人和听力障碍(DHH)用户在面对面和远程会议期间面临无障碍挑战。虽然结合自动语音识别(ASR)的应用程序的新兴使用很有前途,但还需要更多的用户界面和用户体验研究。虽然协同设计方法可以阐明此类应用的设计,但COVID-19已经中断了面对面的研究。本研究描述了一种新的方法进行在线协同设计研讨会与18 DHH和听力参与者对调查ASR支持的移动的和视频会议技术沿着两个设计维度:纠正错误ASR输出和实施通知系统影响扬声器的行为。我们的方法研究结果包括分析的沟通方式和策略的参与者使用,使用在线协作白板工具,以及参与者如何调和的想法差异。最后,我们提出了对在线DHH协同设计方法感兴趣的研究人员的指导方针,即使在目前的大流行之后,也能使研究参与者的地理多样性更大。
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.
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