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News Application Adaptation Based on User Sensory Profile

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Résumé

The EU H2020 ENRICHME project is aimed at developing a socially assistive robot that can adapt its behavior based on the profile of the individual it interacts with. In this paper, we investigate how the ENRICHME project web-based News Application can be adapted based on the sensory profile and personality of the individual. The interaction between the robot and the individual takes place at three different distances (70 cm, 1.2 m, and 2 m). The robot can use visual (showing or not showing the news on its touchscreen) and auditory (reading the news out loud) stimuli during the interaction. We looked at different physiological parameters (blinking, heart rate, respiration rate, and GSR) and we can report that we found statistical results that show that the physiological parameters vary based on interaction distance, condition, sensory profile, and personality.

langue originaleAnglais
titreSocial Robotics - 9th International Conference, ICSR 2017, Proceedings
rédacteurs en chefKenji Suzuki, Hongsheng He, Abderrahmane Kheddar, Eiichi Yoshida, Friederike Eyssel, Shuzhi Sam Ge, John-John Cabibihan
EditeurSpringer Verlag
Pages708-717
Nombre de pages10
ISBN (imprimé)9783319700212
Les DOIs
étatPublié - 1 janv. 2017
Evénement9th International Conference on Social Robotics, ICSR 2017 - Tsukuba, Japon
Durée: 22 nov. 201724 nov. 2017

Série de publications

NomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10652 LNAI
ISSN (imprimé)0302-9743
ISSN (Electronique)1611-3349

Une conférence

Une conférence9th International Conference on Social Robotics, ICSR 2017
Pays/TerritoireJapon
La villeTsukuba
période22/11/1724/11/17

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