Contributo in atti di convegno, 2020, ENG, 10.1145/3379336.3381510

Designing adaptive behavior in a social robot

Zedda E.

CNR-ISTI, Pisa, Italy and University of Pisa, Pisa, Italy

Robots are becoming more and more present in our daily activities. In order to improve user interaction with them, it is important to design behaviors in robots that show social attitude and ability to adapt to the users. For this purpose, robots should adapt their behavior recognizing the user's emotion, also considering the actual user with cognitive and physical disabilities. However, most contemporary approaches rarely attempt to consider recognized emotional features in an active manner to modulate robot decision-making and dialogue for the benefit of the user. In this project, I aim to design and implement a module in a humanoid robot to create an adaptive behavior in a Social Robot for older adults who may have cognitive impairments.

25th International Conference on Intelligent User Interfaces, IUI 2020, pp. 23–24, Cagliari, Italy, 17-20 March, 2020

Keywords

Human-Robot Interaction, Robot Learning, Social Robot

CNR authors

Zedda Eleonora

CNR institutes

ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"