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Conference Paper/Proceeding/Abstract 36 views 10 downloads

Epistemic Interaction – tuning interfaces to provide information for AI support

Alan Dix, Ben Wilson Orcid Logo, Matt Roach Orcid Logo, Tommaso Turchi Orcid Logo, Alessio Malizia Orcid Logo

Proceedings of the 1st International Workshop on Designing and Building Hybrid Human–AI Systems (SYNERGY 2024), Arenzano (Genoa), Italy, June 03, 2024., Volume: 3701

Swansea University Authors: Alan Dix, Ben Wilson Orcid Logo, Matt Roach Orcid Logo

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As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system...

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Published in: Proceedings of the 1st International Workshop on Designing and Building Hybrid Human–AI Systems (SYNERGY 2024), Arenzano (Genoa), Italy, June 03, 2024.
ISSN: 1613-0073
Published: 2024
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URI: https://cronfa.swan.ac.uk/Record/cronfa67757
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first_indexed 2024-09-30T14:03:14Z
last_indexed 2024-09-30T14:03:14Z
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spelling v2 67757 2024-09-20 Epistemic Interaction – tuning interfaces to provide information for AI support e31e47c578b2a6a39949aa7f149f4cf9 Alan Dix Alan Dix true false a854728f3952ca0b74a49f9286a9b0e2 0009-0004-5663-5854 Ben Wilson Ben Wilson true false 9722c301d5bbdc96e967cdc629290fec 0000-0002-1486-5537 Matt Roach Matt Roach true false 2024-09-20 As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communica- tion, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly ad- vance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements. Conference Paper/Proceeding/Abstract Proceedings of the 1st International Workshop on Designing and Building Hybrid Human–AI Systems (SYNERGY 2024), Arenzano (Genoa), Italy, June 03, 2024. 3701 1613-0073 3 6 2024 2024-06-03 https://ceur-ws.org/Vol-3701/paper3.pdf https://ceur-ws.org/Vol-3701/ COLLEGE NANME COLLEGE CODE Swansea University Not Required 2024-10-03T09:16:33.1972551 2024-09-20T16:25:57.1942567 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Alan Dix 1 Ben Wilson 0009-0004-5663-5854 2 Matt Roach 0000-0002-1486-5537 3 Tommaso Turchi https://orcid.org/0000-0001-6826-9688 4 Alessio Malizia https://orcid.org/0000-0002-2601-7009 5 67757__31428__a3dc80b1c1674f96875474ef68d839d1.pdf Epistemic_interaction.pdf 2024-09-20T16:33:53.3799092 Output 1912486 application/pdf Version of Record true © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). true eng https://creativecommons.org/licenses/by/4.0/deed.en
title Epistemic Interaction – tuning interfaces to provide information for AI support
spellingShingle Epistemic Interaction – tuning interfaces to provide information for AI support
Alan Dix
Ben Wilson
Matt Roach
title_short Epistemic Interaction – tuning interfaces to provide information for AI support
title_full Epistemic Interaction – tuning interfaces to provide information for AI support
title_fullStr Epistemic Interaction – tuning interfaces to provide information for AI support
title_full_unstemmed Epistemic Interaction – tuning interfaces to provide information for AI support
title_sort Epistemic Interaction – tuning interfaces to provide information for AI support
author_id_str_mv e31e47c578b2a6a39949aa7f149f4cf9
a854728f3952ca0b74a49f9286a9b0e2
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author_id_fullname_str_mv e31e47c578b2a6a39949aa7f149f4cf9_***_Alan Dix
a854728f3952ca0b74a49f9286a9b0e2_***_Ben Wilson
9722c301d5bbdc96e967cdc629290fec_***_Matt Roach
author Alan Dix
Ben Wilson
Matt Roach
author2 Alan Dix
Ben Wilson
Matt Roach
Tommaso Turchi
Alessio Malizia
format Conference Paper/Proceeding/Abstract
container_title Proceedings of the 1st International Workshop on Designing and Building Hybrid Human–AI Systems (SYNERGY 2024), Arenzano (Genoa), Italy, June 03, 2024.
container_volume 3701
publishDate 2024
institution Swansea University
issn 1613-0073
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
url https://ceur-ws.org/Vol-3701/paper3.pdf
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description As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communica- tion, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly ad- vance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
published_date 2024-06-03T09:16:32Z
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