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Improving User’s Performance by Motivation: Matching Robot Interaction Strategy with User’s Regulatory State

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Résumé

The presence of a robot in our everyday life can generate both positive and negative effects on us. While performing a difficult task, the presence of a robot can generate a negative effect on the performance and it can also increase the stress and anxiety levels. In order to minimize these undesired effects, we propose the use of user’s motivation, based on the Regulatory Focus Theory. We analyze the effects of using Regulatory oriented strategies in a robot speech, when giving a person the instructions of how to perform a Stroop Test. We found evidence that matching the Chronic Regulatory state of the participants with the Regulatory oriented strategy of the robot improves the user’s performance, and a mismatch leads to an increase of cognitive load and stress in the participants.

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
Pages464-473
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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