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'That Would Have Been Bad': How Radiologists Interact with Voice User Interface systems When Authoring Reports

Rory Stuart Clark Orcid Logo, Tom Owen Orcid Logo, Matt Jones Orcid Logo, Martin Porcheron Orcid Logo, Phillip Wardle Orcid Logo, Thomas Micic Orcid Logo, Beth Delahaye

Proceedings of the ACM on Human-Computer Interaction, Volume: 9, Issue: 7, Pages: 1 - 23

Swansea University Authors: Tom Owen Orcid Logo, Matt Jones Orcid Logo, Beth Delahaye

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DOI (Published version): 10.1145/3757444

Abstract

This paper presents an exploration of how UK radiologists interact with VUI systems and peripherals when authoring diagnostic reports. We conducted a laboratory study with 10 practicing clinical radiologists to investigate the ways in which radiologists utilise speech-based technology to construct,...

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Published in: Proceedings of the ACM on Human-Computer Interaction
ISSN: 2573-0142
Published: Association for Computing Machinery (ACM) 2025
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URI: https://cronfa.swan.ac.uk/Record/cronfa69198
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spelling 2025-11-04T12:55:42.6971606 v2 69198 2025-04-01 'That Would Have Been Bad': How Radiologists Interact with Voice User Interface systems When Authoring Reports 9c68c1446c7e729b181aa579b3661b55 0000-0002-5150-0246 Tom Owen Tom Owen true false 10b46d7843c2ba53d116ca2ed9abb56e 0000-0001-7657-7373 Matt Jones Matt Jones true false 91ed6019e0a1d7807a01765279b2b4df Beth Delahaye Beth Delahaye true false 2025-04-01 MACS This paper presents an exploration of how UK radiologists interact with VUI systems and peripherals when authoring diagnostic reports. We conducted a laboratory study with 10 practicing clinical radiologists to investigate the ways in which radiologists utilise speech-based technology to construct, edit and proof their work by having them report on real-world anonymised medical studies on camera. A sample of the participants also participated in interviews in which their data was collaboratively analysed and examined to offer deeper insight into the realism and generalisability of our findings and conclusions. We conclude that better training should be given to radiologists on how VUI systems work, and further investigation should be carried out on the best ways to interact with Speech To Text systems in safety critical environments. Journal Article Proceedings of the ACM on Human-Computer Interaction 9 7 1 23 Association for Computing Machinery (ACM) 2573-0142 VUI, ethnography, ethnomethodology, radiology, speech, healthcare 1 11 2025 2025-11-01 10.1145/3757444 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University External research funder(s) paid the OA fee (includes OA grants disbursed by the Library) This work was funded in part by EPSRC grant EP/S021892/1. 2025-11-04T12:55:42.6971606 2025-04-01T10:40:04.3253362 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Rory Stuart Clark 0009-0000-6775-5035 1 Tom Owen 0000-0002-5150-0246 2 Matt Jones 0000-0001-7657-7373 3 Martin Porcheron 0000-0003-3814-7174 4 Phillip Wardle 0009-0001-8827-1790 5 Thomas Micic 0000-0001-7540-4251 6 Beth Delahaye 7 69198__35551__cbf991b1824348c2b770495c83884616.pdf 69198.VOR.pdf 2025-11-04T12:43:43.2696381 Output 8844671 application/pdf Version of Record true © 2025 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution 4.0 International License. true eng https://creativecommons.org/licenses/by/4.0
title 'That Would Have Been Bad': How Radiologists Interact with Voice User Interface systems When Authoring Reports
spellingShingle 'That Would Have Been Bad': How Radiologists Interact with Voice User Interface systems When Authoring Reports
Tom Owen
Matt Jones
Beth Delahaye
title_short 'That Would Have Been Bad': How Radiologists Interact with Voice User Interface systems When Authoring Reports
title_full 'That Would Have Been Bad': How Radiologists Interact with Voice User Interface systems When Authoring Reports
title_fullStr 'That Would Have Been Bad': How Radiologists Interact with Voice User Interface systems When Authoring Reports
title_full_unstemmed 'That Would Have Been Bad': How Radiologists Interact with Voice User Interface systems When Authoring Reports
title_sort 'That Would Have Been Bad': How Radiologists Interact with Voice User Interface systems When Authoring Reports
author_id_str_mv 9c68c1446c7e729b181aa579b3661b55
10b46d7843c2ba53d116ca2ed9abb56e
91ed6019e0a1d7807a01765279b2b4df
author_id_fullname_str_mv 9c68c1446c7e729b181aa579b3661b55_***_Tom Owen
10b46d7843c2ba53d116ca2ed9abb56e_***_Matt Jones
91ed6019e0a1d7807a01765279b2b4df_***_Beth Delahaye
author Tom Owen
Matt Jones
Beth Delahaye
author2 Rory Stuart Clark
Tom Owen
Matt Jones
Martin Porcheron
Phillip Wardle
Thomas Micic
Beth Delahaye
format Journal article
container_title Proceedings of the ACM on Human-Computer Interaction
container_volume 9
container_issue 7
container_start_page 1
publishDate 2025
institution Swansea University
issn 2573-0142
doi_str_mv 10.1145/3757444
publisher Association for Computing Machinery (ACM)
college_str Faculty of Science and Engineering
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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
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description This paper presents an exploration of how UK radiologists interact with VUI systems and peripherals when authoring diagnostic reports. We conducted a laboratory study with 10 practicing clinical radiologists to investigate the ways in which radiologists utilise speech-based technology to construct, edit and proof their work by having them report on real-world anonymised medical studies on camera. A sample of the participants also participated in interviews in which their data was collaboratively analysed and examined to offer deeper insight into the realism and generalisability of our findings and conclusions. We conclude that better training should be given to radiologists on how VUI systems work, and further investigation should be carried out on the best ways to interact with Speech To Text systems in safety critical environments.
published_date 2025-11-01T05:27:32Z
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