Alessandra Rossi

Investigating human perceptions of trust in robots for safe HRI in home environments

Principle Supervisor:
Prof. Dr. Kerstin Dautenhahn
University of Hertfordshire, Hatfield, UK

Collaboration partners:

Competence Area: Human-Robot 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.

Expected Results

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 also for novice users.


Email: a [dot] rossi [at] herts [dot] ac [dot] uk

           alessandra [dot] rossi [at] ieee [dot] org



Twitter: @alhandra81



Address: Adaptive Systems Research Group
School of Computer Science
University of Hertfordshire
College Lane
Hatfield Herts AL10 9AB
United Kingdom