Human-Robot Interaction (HRI) is a field of study dedicated to understanding, designing, and evaluating robotic systems for use by, or with, humans. In HRI there is a consensus about the design and implementation of robotic systems that should be able to adapt their behavior based on user actions and behavior. The robot should adapt to emotions, personalities, and it should also have a memory of past interactions with the user to become believable. This is of particular importance in the field of social robotics and social HRI. The aim of this workshop is to bring together researchers and practitioners who are working on various aspects of social robotics and adaptive interaction. The workshop leads to a multidisciplinary research agenda that will inform future research directions and hopefully, forge some research collaborations.

3rd Workshop on Adapted intEraction with SociAl Robots

Gena C.;Lieto Antonio;Sciutti A.
2022

Abstract

Human-Robot Interaction (HRI) is a field of study dedicated to understanding, designing, and evaluating robotic systems for use by, or with, humans. In HRI there is a consensus about the design and implementation of robotic systems that should be able to adapt their behavior based on user actions and behavior. The robot should adapt to emotions, personalities, and it should also have a memory of past interactions with the user to become believable. This is of particular importance in the field of social robotics and social HRI. The aim of this workshop is to bring together researchers and practitioners who are working on various aspects of social robotics and adaptive interaction. The workshop leads to a multidisciplinary research agenda that will inform future research directions and hopefully, forge some research collaborations.
30th ACM Conference on User Modeling, Adaptation and Personalization, UMAP2022
esp
2022
UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization
ACM
120
122
9781450392327
Adaptivity; HRI; Human Behavior Understanding; Social Robots
De Carolis B.N.; Gena C.; Lieto Antonio; Rossi S.; Sciutti A.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1874761
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