A Smart Home Testbed for Evaluating XAI with Non-Experts

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

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Smart homes are powered by increasingly advanced AI, yet are controlled by, and affect, non-experts. These non-expert home users are an under-represented stakeholder in the explainable AI (XAI) literature. In this paper we facilitate future XAI research by introducing a family of smart home applications serving as a testbed to evaluate XAI with non-experts. The testbed is a hybrid-AI system spanning several AI disciplines, including machine learning and AI planning. Applications include a smart home battery and smart thermostatic radiator valve (TRV). End-user functionality is representative of leading commercial products and relevant research applications. The testbed is based on a flexible software architecture and web-based user interface, supports a range of AI tools in a modular fashion, and can be easily deployed using inexpensive consumer hardware.
Original languageEnglish
Title of host publicationProceedings of the 14th International Conference on Agents and Artificial Intelligence (ICAART'22)
EditorsAna Paula Rocha, Luc Steels, Jaap van den Herik
ISBN (Electronic)9789897585470
Publication statusPublished - 3 Feb 2022
EventICAART 2022: 14th International Conference on Agents and Artificial Intelligence - Online
Duration: 3 Feb 20225 Feb 2022
Conference number: 14

Publication series

ISSN (Electronic)2184-433X


ConferenceICAART 2022
Internet address


  • Explainable AI (XAI)
  • Explainable Machine Learning
  • Explainable AI Planning (XAIP)
  • Smart Homes


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