Abstract
In the future, long-term human-robot interaction (HRI) will be integral in domestic applications, education, and rehabilitation. However, user engagement can decrease over time if the interaction is based on a fixed set of behaviours. Personalisation can improve user engagement and facilitate building rapport and trust by adapting to the user's personality, preferences or needs. This talk will touch on two approaches of personalisation in long-term HRI: user identification, and progress tracking for socially assistive robotics.
Publication Date
2019-04-10
Publisher
APRIL
Embargo Period
2024-11-22
Recommended Citation
Irfan, B. (2019) 'Multi-modal Personalisation in Long-Term Human-Robot Interaction', APRIL: Retrieved from https://pearl.plymouth.ac.uk/secam-research/1782
