Epistemic Interaction – tuning interfaces to provide information for AI support

Alan Dix*, Ben Wilson, Matt Roach, Tommaso Turchi, Alessio Malizia

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

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 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.

Original languageEnglish
JournalCEUR Workshop Proceedings
Volume3701
Publication statusPublished - 2024
Event1st International Workshop on Designing and Building Hybrid Human-AI Systems, SYNERGY 2024 - Genoa, Italy
Duration: 3 Jun 2024 → …

Keywords

  • addaptive interfaces
  • artificial intelligence
  • design
  • human-AI interaction
  • user experience
  • user interface

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