will investigate how personalisation can be done manually and automatically, and also develop mechanisms that adapt parameters depending on observed changes in the Interaction Quality, e.g. in the form or level of user engagement (e.g. the older adult get used to the robot, or the cognitive or physical capacity of the older adult is reduced). There is little work exploring the benefits of the personalization of assistive robots to individual needs, and results have been generally limited to measures of user satisfaction and engagement. It has been shown that people behave more socially when robots personalize their behaviour based on the interaction history, and also that improvements in cognitive training are obtained when using robots. Personalisation will involve adaption of parameters such as the competition/collaboration behaviour, desired level of initiative of the robot, and preferred mode of interaction (e.g., voice, visual, or robot manipulations).
The work is under the scope of the following projects:
- SOCRATES: SOcial Cognitive Robotics in The European Society (web)