In the Social AI Lab we research artificial intelligence for social interaction between man and machine, using smart displays, social robots, and wearables. We develop a Social Interaction Cloud integrating speech and vision technology for analyzing social cues from and shape the dialogue with human actors. The lab facilitates the evaluation of our social interaction designs for, e.g., education, health care, and retail and interdisciplinary cooperation with the social sciences.
Contact: Koen Hindriks
This research takes a systems approach to design and evaluate computational health behaviour systems. Health behaviour informatics aims to address the full cycle of automatically measuring, analysing, and acting upon the physiological and psychological state of individuals. Matters are complicated by the fact that most observed behaviour will emerge from unknown or poorly understood sources, requiring adaptive AI systems.
Contact: Aart van Halteren
This research direction is concerned in developing computational methods for flexibly transferring information and skills between humans and robots through social interaction. This transfer can occur in the context of explainable robot behaviour (robot-to-human transfer of information), assistive settings (robot helping human or human helping robot to get to a goal), or through teaching interactions (interactive robot teachers or learners).
Contact: Kim Baraka
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