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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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Abstract

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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Abstract: 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.
Item Description: https://ceur-ws.org/Vol-3701/
College: Faculty of Science and Engineering

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