A Smart Home Testbed for Evaluating XAI with Non-experts
A Smart Home Testbed for Evaluating XAI with Non-experts
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DOI：
10.5220/0010908100003116
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
Kevin McAreavey;Kim Bauters;Weiru Liu
中科院分区：
文献类型：
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作者：
Kevin McAreavey;Kim Bauters;Weiru Liu
智能家居由越来越先进的人工智能提供动力，但由非专家控制并影响非专家。这些非专家家庭用户是可解释AI（XAI）文献中代表性不足的利益相关者。在本文中，我们通过引入一系列智能家居应用程序作为测试平台来评估XAI与非专家，以促进未来的XAI研究。该测试平台是一个跨越多个AI学科的混合AI系统，包括机器学习和AI规划。应用包括智能家居电池和智能恒温散热器阀（TRV）。最终用户功能是领先的商业产品和相关研究应用的代表。该测试平台基于灵活的软件架构和基于Web的用户界面，以模块化方式支持一系列AI工具，并且可以使用廉价的消费硬件轻松部署。
: 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.