Reading motor intentions
Type de document :
Communication dans un congrès avec actes
URL permanente :
Titre :
Reading motor intentions
Auteur(s) :
Lewkowicz, Daniel [Auteur]
Unité de Recherche en Sciences Cognitives et Affectives [URECA]
Delevoye, Yvonne [Auteur]
Unité de Recherche en Sciences Cognitives et Affectives [URECA]
Unité de Recherche en Sciences Cognitives et Affectives [URECA]
Delevoye, Yvonne [Auteur]
Unité de Recherche en Sciences Cognitives et Affectives [URECA]
Titre de la manifestation scientifique :
CogSci
Organisateur(s) de la manifestation scientifique :
The Science Network
Ville :
Berlin
Pays :
Allemagne
Date de début de la manifestation scientifique :
2013-08
Mot(s)-clé(s) en anglais :
Classifier
Kinematics
Sequences
Motor control
Intentionality
Social interaction
Internal models
Prediction
Motor planning
Biological movement
Kinematics
Sequences
Motor control
Intentionality
Social interaction
Internal models
Prediction
Motor planning
Biological movement
Discipline(s) HAL :
Sciences cognitives
Résumé en anglais : [en]
Some evidence in very recent psychological studies have demonstrated that motor simulation ability is crucial for the correct understanding of social intentions. The present study was conducted first to confirm that the ...
Lire la suite >Some evidence in very recent psychological studies have demonstrated that motor simulation ability is crucial for the correct understanding of social intentions. The present study was conducted first to confirm that the nature of the motor intention leads to early modulations of movement kinematics. Then, we tested whether humans could read an agent’s intention when observing the very first element of a complex action sequence. Results revealed early variations in movement kinematics and further showed that human agents can use these deviants to distinguish above chance level between three different social actions. Similar performance levels were found using an artificial classifier (Neural Network) and this procedure demonstrated furthermore that decisions could be taken on the basis of information contained in the first 500ms of movement kinematics. Taken together these results confirm the importance of motor simulation for adapted social interaction, and suggest how robotic adaptive controllers may use as input low-level motor information (e.g., kinematics) to afford biologically inspired social behaviors.Lire moins >
Lire la suite >Some evidence in very recent psychological studies have demonstrated that motor simulation ability is crucial for the correct understanding of social intentions. The present study was conducted first to confirm that the nature of the motor intention leads to early modulations of movement kinematics. Then, we tested whether humans could read an agent’s intention when observing the very first element of a complex action sequence. Results revealed early variations in movement kinematics and further showed that human agents can use these deviants to distinguish above chance level between three different social actions. Similar performance levels were found using an artificial classifier (Neural Network) and this procedure demonstrated furthermore that decisions could be taken on the basis of information contained in the first 500ms of movement kinematics. Taken together these results confirm the importance of motor simulation for adapted social interaction, and suggest how robotic adaptive controllers may use as input low-level motor information (e.g., kinematics) to afford biologically inspired social behaviors.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Établissement(s) :
Université de Lille
CNRS
CHU Lille
CNRS
CHU Lille
Collections :
Équipe(s) de recherche :
Équipe Action, Vision et Apprentissage (AVA)
Date de dépôt :
2022-01-03T13:10:44Z
2022-01-04T17:40:14Z
2024-02-20T09:08:24Z
2024-02-20T09:09:11Z
2022-01-04T17:40:14Z
2024-02-20T09:08:24Z
2024-02-20T09:09:11Z
Fichiers
- Lewkowicz2013.pdf
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