TY - GEN
T1 - A multi-level context-based modeling of engagement in human-robot interaction
AU - Salam, Hanan
AU - Chetouani, Mohamed
N1 - Funding Information:
This work was done in the context of the A1:1 (Avatar 1:1) project funded by Caisse des Dépôts et Investissements d’Avenir programme. This work was partially supported by the Labex SMART (ANR-11-LABX-65) under French state funds managed by ANR within the Investissements d’Avenir programme under reference ANR-11-IDEX-0004-02.
Publisher Copyright:
© 2015 IEEE.
PY - 2015/7/17
Y1 - 2015/7/17
N2 - In this paper, we consider engagement in the context of Human-Robot Interaction (HRI). Previous studies in HRI relate engagement to emotion and attention independently from the context. We propose a model of engagement in Human-Robot Interaction depending on the context in which human and robot act. In our model, the mental and emotional states of the user related to engagement vary during the interaction according to the current context. Knowing the context of the interaction, the robot would know what to expect regarding the mental and the emotional state of the user and thus if it perceives a state that is not in accordance with its expectations, this might signal disengagement.
AB - In this paper, we consider engagement in the context of Human-Robot Interaction (HRI). Previous studies in HRI relate engagement to emotion and attention independently from the context. We propose a model of engagement in Human-Robot Interaction depending on the context in which human and robot act. In our model, the mental and emotional states of the user related to engagement vary during the interaction according to the current context. Knowing the context of the interaction, the robot would know what to expect regarding the mental and the emotional state of the user and thus if it perceives a state that is not in accordance with its expectations, this might signal disengagement.
UR - http://www.scopus.com/inward/record.url?scp=84983534711&partnerID=8YFLogxK
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U2 - 10.1109/FG.2015.7284845
DO - 10.1109/FG.2015.7284845
M3 - Conference contribution
AN - SCOPUS:84983534711
T3 - 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2015
BT - 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2015
Y2 - 4 May 2015 through 8 May 2015
ER -