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Conference Paper/Proceeding/Abstract 1024 views 1068 downloads

Exploring Smart Speaker User Experience for People Who Stammer

Anna Bleakley, Daniel Rough, Abi Roper, Stephen Lindsay, Martin Porcheron Orcid Logo, Minha Lee, Stuart Alan Nicholson, Benjamin R. Cowan, Leigh Clark Orcid Logo

The 24th International ACM SIGACCESS Conference on Computers and Accessibility

Swansea University Authors: Martin Porcheron Orcid Logo, Leigh Clark Orcid Logo

DOI (Published version): 10.1145/3517428.3544823

Abstract

Speech-enabled smart speakers are common devices used for numerous tasks in everyday life. While speech-enabled technologies are widespread, using one's voice as a computing modality introduces new accessibility challenges for people with speech disfluencies such as stammering (also known as st...

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Published in: The 24th International ACM SIGACCESS Conference on Computers and Accessibility
ISBN: 978-1-4503-9258-7 978-1-4503-9258-7
Published: New York, NY, USA ACM 2022
URI: https://cronfa.swan.ac.uk/Record/cronfa60384
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first_indexed 2022-07-05T12:33:30Z
last_indexed 2023-01-13T19:20:28Z
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spelling 2022-11-20T12:24:54.9458818 v2 60384 2022-07-05 Exploring Smart Speaker User Experience for People Who Stammer d9de398c04c0b443d547d455782d5de5 0000-0003-3814-7174 Martin Porcheron Martin Porcheron true false 004ef41b90854a57a498549a462f13a0 0000-0002-9237-1057 Leigh Clark Leigh Clark true false 2022-07-05 SCS Speech-enabled smart speakers are common devices used for numerous tasks in everyday life. While speech-enabled technologies are widespread, using one's voice as a computing modality introduces new accessibility challenges for people with speech disfluencies such as stammering (also known as stuttering). This paper investigates the smart speaker user experiences of people who stammer over three weeks. We conducted diary studies and semi-structured interviews with 11 individuals to identify their daily routines, difficulties with successful interactions, and strategies to overcome these barriers. Our analysis demonstrates key factors such as device location, its affordances, and the structure of commands had a strong impact on user experience. Participants highlighted different linguistic strategies to try and overcome interaction difficulties and discussed the potential of using smart speakers for speech and language therapy. We emphasise the need to further understand the experiences of people who stammer in smart speaker design to increase their accessibility. Conference Paper/Proceeding/Abstract The 24th International ACM SIGACCESS Conference on Computers and Accessibility ACM New York, NY, USA 978-1-4503-9258-7 978-1-4503-9258-7 22 10 2022 2022-10-22 10.1145/3517428.3544823 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University Not Required 2022-11-20T12:24:54.9458818 2022-07-05T13:28:31.1624484 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Anna Bleakley 1 Daniel Rough 2 Abi Roper 3 Stephen Lindsay 4 Martin Porcheron 0000-0003-3814-7174 5 Minha Lee 6 Stuart Alan Nicholson 7 Benjamin R. Cowan 8 Leigh Clark 0000-0002-9237-1057 9 60384__24542__0b1426fe870d48a292915994d9139f2a.pdf ASSETS__22_Final_Submission.pdf 2022-07-11T19:22:51.4036308 Output 515919 application/pdf Accepted Manuscript true false eng
title Exploring Smart Speaker User Experience for People Who Stammer
spellingShingle Exploring Smart Speaker User Experience for People Who Stammer
Martin Porcheron
Leigh Clark
title_short Exploring Smart Speaker User Experience for People Who Stammer
title_full Exploring Smart Speaker User Experience for People Who Stammer
title_fullStr Exploring Smart Speaker User Experience for People Who Stammer
title_full_unstemmed Exploring Smart Speaker User Experience for People Who Stammer
title_sort Exploring Smart Speaker User Experience for People Who Stammer
author_id_str_mv d9de398c04c0b443d547d455782d5de5
004ef41b90854a57a498549a462f13a0
author_id_fullname_str_mv d9de398c04c0b443d547d455782d5de5_***_Martin Porcheron
004ef41b90854a57a498549a462f13a0_***_Leigh Clark
author Martin Porcheron
Leigh Clark
author2 Anna Bleakley
Daniel Rough
Abi Roper
Stephen Lindsay
Martin Porcheron
Minha Lee
Stuart Alan Nicholson
Benjamin R. Cowan
Leigh Clark
format Conference Paper/Proceeding/Abstract
container_title The 24th International ACM SIGACCESS Conference on Computers and Accessibility
publishDate 2022
institution Swansea University
isbn 978-1-4503-9258-7
978-1-4503-9258-7
doi_str_mv 10.1145/3517428.3544823
publisher ACM
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 1
active_str 0
description Speech-enabled smart speakers are common devices used for numerous tasks in everyday life. While speech-enabled technologies are widespread, using one's voice as a computing modality introduces new accessibility challenges for people with speech disfluencies such as stammering (also known as stuttering). This paper investigates the smart speaker user experiences of people who stammer over three weeks. We conducted diary studies and semi-structured interviews with 11 individuals to identify their daily routines, difficulties with successful interactions, and strategies to overcome these barriers. Our analysis demonstrates key factors such as device location, its affordances, and the structure of commands had a strong impact on user experience. Participants highlighted different linguistic strategies to try and overcome interaction difficulties and discussed the potential of using smart speakers for speech and language therapy. We emphasise the need to further understand the experiences of people who stammer in smart speaker design to increase their accessibility.
published_date 2022-10-22T04:18:27Z
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score 11.036706

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