Epistemic Interaction
tuning interfaces to provide information for AI support

Alan Dix1,2, Ben Wilson1, Matt Roach1, Tommaso Turchi3 and Alessio Malizia3,4

1 Computational Foundry, Swansea University, Wales, UK
2 Cardiff Metropolitan University, Wales, UK
3 Department of Computer Science, University of Pisa, Pisa, Italy
4 Molde University College, Molde, Norway

Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024

Download draft paper (PDF, 1.6M)

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.



TANGO – it takes two to tango – a synergistic approach to human-machine decision making. An EU Horizon funded project



Alan Dix 31/5/2024