Tangible Explainable AI - an Initial Conceptual Framework

Ashley Colley, Kaisa Väänänen, Jonna Häkkilä

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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Artificial Intelligence (AI) solutions are becoming prevalent in almost all aspects of human life. However, their acceptance may be limited by a lack of transparency of how the AI works. Explainable AI (XAI) aims to provide the users of AI systems with an understanding of why decisions are made, increasing trust in the system. To date, research into XAI has focused on the use of graphical user interfaces, presenting numerical, textual or graphical explanations. However, AI is increasingly being used in systems that include physical devices, and hence the need for explainability in physical or tangible user interfaces (TUI) is also increasing. We present an initial conceptual framework for tangible explainable AI (TangXAI), which identifies the potential approaches of communicating XAI through physical artifacts, using the concepts of data physicalization and tangible interaction. The framework provides a basis into which ongoing research of tangible explainable AI can be mapped and related research gaps identified.
Original languageEnglish
Title of host publicationProceedings of MUM 2022, the 21st International Conference on Mobile and Ubiquitous Multimedia
ISBN (Electronic)9781450398213
ISBN (Print)9781450398206
Publication statusPublished - 2022
Publication typeA4 Article in conference proceedings
EventInternational Conference on Mobile and Ubiquitous Multimedia - Lisbon, Portugal
Duration: 27 Nov 202230 Nov 2022
Conference number: 21


ConferenceInternational Conference on Mobile and Ubiquitous Multimedia


  • TUI
  • TangXAI
  • XAI
  • human centered AI
  • human in the loop
  • Explainable AI
  • tangible interaction
  • HCI

Publication forum classification

  • Publication forum level 1


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