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dc.contributor.authorBeck, Ariel
dc.contributor.authorCañamero, Lola
dc.contributor.authorHiolle, Antoine
dc.contributor.authorDamiano, Luisa
dc.contributor.authorCosi, Piero
dc.contributor.authorTesser, Fabio
dc.contributor.authorSommavilla, Giacomo
dc.identifier.citationBeck , A , Cañamero , L , Hiolle , A , Damiano , L , Cosi , P , Tesser , F & Sommavilla , G 2013 , ' Interpretation of Emotional Body Language Displayed by a Humanoid Robot : A Case Study with Children ' , International Journal of Social Robotics , vol. 5 , no. 3 , pp. 325-334 .
dc.identifier.otherPURE: 2152919
dc.identifier.otherPURE UUID: e4bd649b-0866-4804-b9c4-135338b159cd
dc.identifier.otherScopus: 84880953454
dc.descriptionThis work is funded by the EU FP7 ALIZ-E project (grant number 248116).
dc.description.abstractThe work reported in this paper focuses on giving humanoid robots the capacity to express emotions with their body. Previous results show that adults are able to interpret different key poses displayed by a humanoid robot and also that changing the head position affects the expressiveness of the key poses in a consistent way. Moving the head down leads to decreased arousal (the level of energy) and valence (positive or negative emotion) whereas moving the head up produces an increase along these dimensions. Hence, changing the head position during an interaction should send intuitive signals. The study reported in this paper tested children’s ability to recognize the emotional body language displayed by a humanoid robot. The results suggest that body postures and head position can be used to convey emotions during child-robot interaction.en
dc.relation.ispartofInternational Journal of Social Robotics
dc.subjectemotion, social robotics, emotional body language, perception
dc.titleInterpretation of Emotional Body Language Displayed by a Humanoid Robot : A Case Study with Childrenen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionAdaptive Systems
dc.description.statusPeer reviewed
rioxxterms.typeJournal Article/Review

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