Investigating robot and human adaptation using physiological measurements for users’ stress minimization during Human-Robot Interaction
Prof. Dr. Kerstin Dautenhahn
University of Hertfordshire
- Ecole Polytechnique Federale de Lausanne
- Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA
Competence Area: Interaction
To create guidelines and to develop a system that will allow robots to utilize social cues that significantly improve safe human-robot interaction in home environments. This involves first investigating and understanding of 1) human safety risk during human-robot interaction in home environments, 2) the features that help humans to believe and trust that robots are able to look after their well-being, 3) social cues related to a human alert system that users are sensitive of and that can be implemented in robots to signal safety risks to the users.
Based on the findings a guideline will be created, implemented and tested to verify and improve the guideline for developing a system that can utilize social cues to ensure safe human-robot interaction in home environments.
The result will enable robots to use effective social cues to signal users’ safety risk during human-robot interaction in home environments. This will ensure that the users will be aware of any risk to their safety during human-robot interaction and that robots can promote safe interactions for novice users.