TY - JOUR
T1 - Epistemic Interaction – tuning interfaces to provide information for AI support
AU - Dix, Alan
AU - Wilson, Ben
AU - Roach, Matt
AU - Turchi, Tommaso
AU - Malizia, Alessio
N1 - Publisher Copyright:
© 2022 Copyright for this paper by its authors.
PY - 2024
Y1 - 2024
N2 - 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 communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
AB - 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 communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
KW - addaptive interfaces
KW - artificial intelligence
KW - design
KW - human-AI interaction
KW - user experience
KW - user interface
UR - https://www.scopus.com/pages/publications/85195913330
M3 - Conference article
AN - SCOPUS:85195913330
SN - 1613-0073
VL - 3701
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
T2 - 1st International Workshop on Designing and Building Hybrid Human-AI Systems, SYNERGY 2024
Y2 - 3 June 2024
ER -