2011 IEEE International Conference on Robotics and Biomimetics 2011
DOI: 10.1109/robio.2011.6181443
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Children recognize emotions of EmI companion robot

Abstract: Abstract-This article presents the evaluation of the emotional expressiveness of EmI companion robot in the EmotiRob project. We describe iGrace emotional computational model of emotion to generate an emotional response based on the speech of the interlocutor, the mechanical design and implementation of EmI, and experimentation to evaluate the expressiveness of EmI with 52 school children aged 7 to 9 years.

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Cited by 6 publications
(11 citation statements)
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“…Saint-Aimé et al . 2010). Other advances, in the field of robot intelligence, include learning and predicting human behaviour.…”
Section: Robot Capabilitiesmentioning
confidence: 99%
“…Saint-Aimé et al . 2010). Other advances, in the field of robot intelligence, include learning and predicting human behaviour.…”
Section: Robot Capabilitiesmentioning
confidence: 99%
“…iGrace [ 91 ] is an extension of the GRACE (Generic Robotic Architecture to Create Emotions) model [ 92 ], and is a computational model of emotion-focused emotional expressiveness and personality. The robot reacts according to the speech of the speaker.…”
Section: Resultsmentioning
confidence: 99%
“…Moreover, several studies work the emotion as a discrete model. However, this model considers the emotion as a continuous entity, as iGRACE does [ 32 , 91 , 92 ]. Some models have considered past experiences of an event/object.…”
Section: Resultsmentioning
confidence: 99%
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“…In this study, we simply connect its output to smiles, frowns, or grins. In that sense, Coppélia is in need of an iGrace system that senses emotion from the user's language and then selects and performs an affective action based on a database of emotional experiences [40] (iGrace was implemented in a cuddle robot for hospitalized children [40]). Yet, iGrace is in need of a system such as Silicon Coppélia, because it does not have an architecture in place that does cognitive-affective appraisals.…”
Section: Related Workmentioning
confidence: 99%