Explainable Artificial Intelligence for the Smart Home : Enabling Relevant Dialogue between Users and Autonomous Systems
Abstract: Smart home technologies aim at providing users control over their house, including but not limited to temperature, light, security, energy consumption. Despite offering the possibility of lowering power consumption (and thus the energy bill), smart home systems still struggle to convince a broad public, often being regarded as intrusive or not trustworthy. Gaining sympathy from users would require a solution to provide relevant explanations without relying on distant computing (which would imply sending private data online). We therefore propose an architecture where the autonomic controller system is extended with an intelligent layer aiming at translating autonomic values into concepts and finding causality relations in order to explain the logic behind the decisions and the state of the system to the user.
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