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Deaf Individuals' Views on Speaking Behaviors of Hearing Peers when Using an Automatic Captioning App

Published:25 April 2020Publication History

ABSTRACT

As automatic speech recognition (ASR) becomes more accurate, many deaf and hard-of-hearing (DHH) individuals are interested in ASR-based mobile applications to facilitate in-person communication with hearing peers. We investigate DHH users' preferences regarding the behaviors of the hearing person in this context. Using an ASR-based captioning app, eight Deaf/deaf participants held short conversations, with a hearing actor who exhibited certain behaviors, e.g. speaking quietly/loudly or slowly/quickly. Participants indicated some of the hearing individual's behaviors were more influential as to their subjective impression of the communication efficacy. We also found that these behaviors differed in how noticeable they were to the Deaf participants. This study provides guidance, from a Deaf perspective, about the types of behaviors hearing users should ideally exhibit in this context, motivating a focus on such behaviors in future design or evaluation of ASR-based communication apps.

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          cover image ACM Conferences
          CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
          April 2020
          4474 pages
          ISBN:9781450368193
          DOI:10.1145/3334480

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          Association for Computing Machinery

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          Publication History

          • Published: 25 April 2020

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