Moualla A. auteur aut IRD Karaouzene A. auteur aut IRD Boucenna S. auteur aut IRD Vidal Denis auteur aut IRD Gaussier P. auteur aut IRD IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 2017), 26., Lisbonne (POR), 2017/08/28-2017/09/01 text conferencePaper eng text/pdf born digital access In this paper we propose a neural network allowing a mobile robot to learn artwork appreciation. The learning is based on the social referencing approach. The robot acquires its knowledge (artificial taste) from the interaction with humans. We present and analyze specifically the visual system, its impact on the robot behavior, and at the end, we analyze the readability of our robot behavior according to visitors comments. We show that the low level spatial competition between the values associated to areas of interest in the image are important for the coherence of the robot's object evaluation and the readability of its behavior. specialized ANTHROPOLOGIE CULTURELLE ROBOTIQUE MUSEE ESTHETIQUE INTELLIGENCE ARTIFICIELLE RECONNAISSANCE DE FORME RESEAU NEURONAL FRANCE 112CULTU 122INTAR IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 2017), 26., Lisbonne (POR), 2017/08/28-2017/09/01 712-719 New York IEEE 2018 https://www.documentation.ird.fr/hor/fdi:010076260 10.1109/ROMAN.2017.8172381 [F B010076260] https://www.documentation.ird.fr/hor/fdi:010076260 https://www.documentation.ird.fr/intranet/publi/depot/2019-06-26/010076260.pdf Accès réservé (Intranet de l'IRD) IRD - Base Horizon / Pleins textes 2019-06-26 2023-07-11 fdi:010076260 fre