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“How Is His/Her Mood”: A Question That a Companion Robot May Be Able to Answer

  • Mojgan Hashemian
  • Hadi Moradi
  • Maryam S. Mirian
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9979)

Abstract

Mood, as one of the human affects, plays a vital role in human-human interaction, especially due to its long lasting effects. In this paper, we introduce an approach in which a companion robot, capable of mood detection, is employed to detect and report the mood state of a person to his/her partner to make him/her prepared for upcoming encounters. Such a companion robot may be used at home or at work which would be able to improve the interaction experience for couples, partners, family members, etc. We have implemented the proposed approach using a vision-based method for mood detection. The approach has been tested by an experiment and a follow up study. Descriptive and statistical analysis were performed to analyze the gathered data. The results show that this type of information can have positive impact on interaction of partners.

Keywords

Emotion Facial expressions HRI Social robot Mood 

Notes

Acknowledgments

The first author would like to thank her friends in ARIS and Mobile Robot Lab at the school ECE, University of Tehran, as well as her collogues in FANAP Company for their kind help and participation in these experiments. Furthermore, she would like to thank Dr. Leila Kashani for her constructive review and feedbacks on the manuscript. This work was supported by national funds through Fundação para a Ciência e a Tecnologia (FCT) with reference UID/CEC/50021/2013.

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Mojgan Hashemian
    • 1
    • 2
  • Hadi Moradi
    • 1
    • 3
  • Maryam S. Mirian
    • 1
    • 4
  1. 1.Advanced Robotics and Intelligent Systems Lab, School of Electrical and Computer Engineering, College of EngineeringUniversity of TehranTehranIran
  2. 2.INESC-ID and Instituto Superior TécnicoUniversity of LisbonPorto SalvoPortugal
  3. 3.Intelligent Systems Research Institute, SKKUSuwonSouth Korea
  4. 4.Center for Integrated Computer Systems Research, Faculty of Computer ScienceUniversity of British ColumbiaVancouverCanada

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