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Conference Paper/Proceeding/Abstract 7 views

Towards Explainable User Interfaces

Alan Dix Orcid Logo, Tommaso Turchi Orcid Logo, Ben Wilson Orcid Logo

Proceedings of BCS HCI 2025, UK

Swansea University Author: Ben Wilson Orcid Logo

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DOI (Published version): 10.14236/ewic/BCSHCI2025.24

Abstract

This paper argues that user interfaces need to be explainable whether or not they contain artificial intelligence components. Even with the best design, complex applications often leave users confused; this is exacerbated on small touchscreens, where small slips can lead to markedly different outcom...

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Published in: Proceedings of BCS HCI 2025, UK
Published: UK BCS Learning and Development Ltd 2025
Online Access: https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/BCSHCI2025.24
URI: https://cronfa.swan.ac.uk/Record/cronfa71397
first_indexed 2026-02-09T16:01:24Z
last_indexed 2026-02-11T05:34:01Z
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recordtype SURis
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spelling 2026-02-10T12:44:01.2201353 v2 71397 2026-02-09 Towards Explainable User Interfaces a854728f3952ca0b74a49f9286a9b0e2 0009-0004-5663-5854 Ben Wilson Ben Wilson true false 2026-02-09 MACS This paper argues that user interfaces need to be explainable whether or not they contain artificial intelligence components. Even with the best design, complex applications often leave users confused; this is exacerbated on small touchscreens, where small slips can lead to markedly different outcomes and when notifications or intelligent agents may autonomously change the interface. This can be disorienting even for the most tech savvy user, but doubly so for those less confident or with motor-control issues. We are often left asking “what just happened?” or “how can I do this again?”. We need explainable user interfaces. Conference Paper/Proceeding/Abstract Proceedings of BCS HCI 2025, UK BCS Learning and Development Ltd UK User experience, accessibility, artificial intelligence, notifications, user interface architecture 17 11 2025 2025-11-17 10.14236/ewic/BCSHCI2025.24 https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/BCSHCI2025.24 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) Tango Project EU Horizon Grant Agreement no. 101120763 - TANGO 2026-02-10T12:44:01.2201353 2026-02-09T11:08:54.7116247 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Alan Dix 0000-0002-5242-7693 1 Tommaso Turchi 0000-0001-6826-9688 2 Ben Wilson 0009-0004-5663-5854 3
title Towards Explainable User Interfaces
spellingShingle Towards Explainable User Interfaces
Ben Wilson
title_short Towards Explainable User Interfaces
title_full Towards Explainable User Interfaces
title_fullStr Towards Explainable User Interfaces
title_full_unstemmed Towards Explainable User Interfaces
title_sort Towards Explainable User Interfaces
author_id_str_mv a854728f3952ca0b74a49f9286a9b0e2
author_id_fullname_str_mv a854728f3952ca0b74a49f9286a9b0e2_***_Ben Wilson
author Ben Wilson
author2 Alan Dix
Tommaso Turchi
Ben Wilson
format Conference Paper/Proceeding/Abstract
container_title Proceedings of BCS HCI 2025, UK
publishDate 2025
institution Swansea University
doi_str_mv 10.14236/ewic/BCSHCI2025.24
publisher BCS Learning and Development Ltd
college_str Faculty of Science and Engineering
hierarchytype
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
url https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/BCSHCI2025.24
document_store_str 0
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description This paper argues that user interfaces need to be explainable whether or not they contain artificial intelligence components. Even with the best design, complex applications often leave users confused; this is exacerbated on small touchscreens, where small slips can lead to markedly different outcomes and when notifications or intelligent agents may autonomously change the interface. This can be disorienting even for the most tech savvy user, but doubly so for those less confident or with motor-control issues. We are often left asking “what just happened?” or “how can I do this again?”. We need explainable user interfaces.
published_date 2025-11-17T05:35:22Z
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score 11.096068

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