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Epistemic Interaction – tuning interfaces to provide information for AI support

  • Alan Dix*
  • , Ben Wilson
  • , Matt Roach
  • , Tommaso Turchi
  • , Alessio Malizia
  • *Awdur cyfatebol y gwaith hwn

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygl Cynhadleddadolygiad gan gymheiriaid

Crynodeb

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.

Iaith wreiddiolSaesneg
CyfnodolynCEUR Workshop Proceedings
Cyfrol3701
StatwsCyhoeddwyd - 2024
Digwyddiad1st International Workshop on Designing and Building Hybrid Human-AI Systems, SYNERGY 2024 - Genoa, Yr Eidal
Hyd: 3 Meh 2024 → …

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