Human-AI Interaction in Autonomous Buildings

The aim of this project is to identify how different users of autonomous buildings interact with AI systems, to inform the development of role-based interaction models.

Key data

Description

The growing integration of AI systems is enabling smart buildings to become increasingly autonomous. These systems allow thereby building operators to focus on strategic decisions by handling routine tasks.

At the same time, empirical evidence is lacking on which levels of autonomy users such as building oweners, facility managers (FM), technicians and energy analysts find acceptable, what manual controls they require, and how AI decisions should be communicated clearly.

The ZHAW is carrying out an applied research project to establish the empirical basis for role-based interaction models and design principles for the development of future AI-driven, autonomous smart building systems.