Tangible Explainable AI - an Initial Conceptual Framework

Ashley Colley, Kaisa Väänänen, Jonna Häkkilä

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

1 Citation (Scopus)
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Abstract

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
Subtitle of host publicationthe 21st International Conference on Mobile and Ubiquitous Multimedia
EditorsTanja Döring, Susanne Boll, Ashley Colley, Augusto Esteves, João Guerreiro
Place of PublicationNew York, NY, USA
PublisherACM
Pages22-27
ISBN (Electronic)978-1-4503-9821-3
DOIs
Publication statusPublished - 2022
MoEC publication typeA4 Article in a conference publication
EventMUM 2022: 21th International Conference on Mobile and Ubiquitous Multimedia - Lisbon , Portugal
Duration: 27 Nov 202230 Nov 2022

Publication series

SeriesMUM '22

Conference

ConferenceMUM 2022: 21th International Conference on Mobile and Ubiquitous Multimedia
Abbreviated titleMUM 2022
Country/TerritoryPortugal
CityLisbon
Period27.11.202230.11.2022

Keywords

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

Field of science

  • Computer and information sciences

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