Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Jonas Gonzalez"'
Publikováno v:
Frontiers in Neurorobotics, Vol 15 (2021)
One of the fundamental prerequisites for effective collaborations between interactive partners is the mutual sharing of the attentional focus on the same perceptual events. This is referred to as joint attention. In psychological, cognitive, and soci
Externí odkaz:
https://doaj.org/article/349fdab84e594e8788f69243b8313ddc
Autor:
Jonas Gonzalez-Billandon, Alexander M. Aroyo, Alessia Tonelli, Dario Pasquali, Alessandra Sciutti, Monica Gori, Giulio Sandini, Francesco Rea
Publikováno v:
Frontiers in Robotics and AI, Vol 6 (2019)
Deception is a complex social skill present in human interactions. Many social professions such as teachers, therapists and law enforcement officers leverage on deception detection techniques to support their work activities. Robots with the ability
Externí odkaz:
https://doaj.org/article/825ea1258655432f8b4acdf762c5e939
Autor:
Giulia Belgiovine, Jonas Gonzalez-Billandon, Giulio Sandini, Francesco Rea, Alessandra Sciutti
Publikováno v:
Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization.
Publikováno v:
HAI
The ability to recognize human partners is an important social skill to build personalized and long-term Human-Robot Interactions (HRI). However, in HRI contexts, unfolding in ever-changing and realistic environments, the identification problem prese
Autor:
Jonas Gonzalez-Billandon, Francesco Rea, Alessandra Sciutti, Giulio Sandini, Matthew S. Tata, Giulia Belgiovine
Publikováno v:
ICDL
Locating a speaker in the space is a skill that plays an essential role in conducting smooth and natural social interactions. Equipping robots with this ability could lead to more fluid human-robot interaction, also by facilitating voice recognition
Autor:
Alessandra Sciutti, Jonas Gonzalez-Billandon, Francesco Rea, Giulio Sandini, Dario Pasquali, Alexander Mois Aroyo
Robots destined to tasks like teaching or caregiving have to build a long-lasting social rapport with their human partners. This requires, from the robot side, to be capable of assessing whether the partner is trustworthy. To this aim a robot should
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad02ba24f9b07d7f76b5aeff069742db
Publikováno v:
HRI
Proceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction
Proceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction
Games are often used to foster human partners’ engagement and natural behavior, even when they are played with or against robots. Therefore, beyond their entertainment value, games represent ideal interaction paradigms where to investigate natural
Publikováno v:
ICDL-EPIROB
Robots are becoming more and more present in our daily life operating in complex and unstructured environments. To operate autonomously they must adapt to continuous scene changes and therefore must rely on an incessant learning process. Deep learnin
Publikováno v:
ICRA
Newborn infants are naturally attracted to human faces, a crucial source of information for social interaction. In robotics, acquisition of such information is crucial and social robots should also learn to exhibit such social skill. Deep learning al
Akademický článek
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