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Epistemic Interaction – tuning interfaces to provide information for AI support
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 , Matt Roach
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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...
Published in: | Proceedings of the 1st International Workshop on Designing and Building Hybrid Human–AI Systems (SYNERGY 2024), Arenzano (Genoa), Italy, June 03, 2024. |
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ISSN: | 1613-0073 |
Published: |
2024
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Online Access: |
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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. |
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Item Description: |
https://ceur-ws.org/Vol-3701/ |
College: |
Faculty of Science and Engineering |