A Framework for Speechreading Acquisition Tools

Benjamin Gorman, David Flatla

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

4 Citations (Scopus)
367 Downloads (Pure)

Abstract

At least 360 million people worldwide have disabling hearing loss that frequently causes difficulties in day-to-day conversations. Traditional technology (e.g., hearing aids) often fails to offer enough value, has low adoption rates, and can result in social stigma. Speechreading can dramatically improve conversational understanding, but speechreading is a skill that can be challenging to learn. To address this, we developed a novel speechreading acquisition framework that can be used to design Speechreading Acquisition Tools (SATs) – a new type of technology to improve speechreading acquisition. We interviewed seven speechreading tutors and used thematic analysis to identify and organise the key elements of our framework. We then evaluated our framework by using it to: 1) categorise every tutor-identified speechreading teaching technique, 2) critically evaluate existing conversational aids, and 3) design three new SATs. Through the use of SATs designed using our framework, the speechreading abilities of people with hearing loss around the world should be enhanced, thereby improving the conversational foundation of their day-to-day lives.
Original languageEnglish
Title of host publicationCHI 2017
Subtitle of host publicationProceedings of the 2017 CHI Conference on Human Factors in Computing Systems
Place of PublicationNew York
PublisherAssociation for Computing Machinery
Pages519-530
Number of pages12
ISBN (Electronic)9781450346559
DOIs
Publication statusPublished - 6 May 2017
EventCHI '17: CHI Conference on Human Factors in Computing Systems - Denver, United States
Duration: 6 May 201711 May 2017
https://chi2017.acm.org/

Conference

ConferenceCHI '17
CountryUnited States
CityDenver
Period6/05/1711/05/17
Internet address

Keywords

  • Speechreading
  • Lipreading
  • Hearing Loss
  • Deafness

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  • Student Theses

    A Framework for Speechreading Acquisition Tools

    Author: Gorman, B. M., 2018

    Supervisor: Flatla, D. (Supervisor) & McKenna, S. (Supervisor)

    Student thesis: Doctoral ThesisDoctor of Philosophy

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    Cite this

    Gorman, B., & Flatla, D. (2017). A Framework for Speechreading Acquisition Tools. In CHI 2017: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (pp. 519-530). Association for Computing Machinery. https://doi.org/10.1145/3025453.3025560