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Designing adaptive behavior in a social robot

Conference Paper
Publication Date:
2020
abstract:
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.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Human-Robot Interaction; Robot Learning; Social Robot
List of contributors:
Zedda, Eleonora
Handle:
https://iris.cnr.it/handle/20.500.14243/407873
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/407873/166373/prod_424663-doc_151454.pdf
Book title:
IUI '20: Proceedings of the 25th International Conference on Intelligent User Interfaces Companion
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URL

https://dl.acm.org/doi/abs/10.1145/3379336.3381510
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