Skip to main content

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

  • Conference paper
  • First Online:
Social Robotics (ICSR 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9979))

Included in the following conference series:

  • 5707 Accesses

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    https://www.jibo.com/.

  2. 2.

    https://www.aldebaran.com/en/a-robots/who-is-pepper.

References

  • Ekman, P., Rosenberg, E.L.: What the Face Reveals: Basic and Applied Studies of Spontaneous Expression Using the Facial Action Coding System (FACS). Oxford University Press, New York (1997)

    Google Scholar 

  • Gebhard, P.: ALMA: a layered model of affect. In: Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems. ACM (2005)

    Google Scholar 

  • Hashemian, M., Moradi, H., Mirian, M.S., Tehrani-doost, M.: Determining mood via emotions observed in face by induction. In: Second RSI/ISM International Conference on Robotics and Mechatronics (ICRoM). IEEE (2014)

    Google Scholar 

  • Hashemian, M., Moradi, H., Mirian, M.S., Tehrani-Doost, M., Ward, R.K.: Is the mood really in the eye of the beholder? In: Stephanidis, C. (ed.) HCI 2015. CCIS, vol. 528, pp. 712–717. Springer, Heidelberg (2015). doi:10.1007/978-3-319-21380-4_120

    Chapter  Google Scholar 

  • Hashemian, M., Nikoukaran, A., Moradi, H., Mirian, M.S., Tehrani-doost, M.: Determining mood using emotional features. In: 7th International Symposium on Telecommunications (IST). IEEE (2014)

    Google Scholar 

  • Hashemian, M., Moradi, H., Mirian, M.S., Tehrani-doost, M.: Recognizing mood using facial emotional features. Technical report, MIR_TechReport 94-12-10/1, School of Electrical Engineering and Computer Science, University of Tehran (2016)

    Google Scholar 

  • Hori, M., Tsuruda, Y., Yoshimura, H., Iwai, Y.: Expression transmission using exaggerated animation for Elfoid. In: Frontiers in psychology 6 (2015)

    Google Scholar 

  • Kintz, B.L., Delprato, D.J., Mettee, D.R., Persons, C.E., Schappe, R.H.: The experimenter effect. Psychol. Bull. 63(4), 223 (1965)

    Article  Google Scholar 

  • Lee, C.M., Narayanan, S.S.: Toward detecting emotions in spoken dialogs. IEEE Trans. Speech Audio Process. 13(2), 293–303 (2005)

    Article  Google Scholar 

  • Mayer, J.: Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT), version 2.0. Multi-Health Systems, Toronto (2002)

    Google Scholar 

  • Movellan, J. R., Tanaka, F., Fasel, I.R., Taylor, C., Ruvolo, P., Eckhardt, M.: The RUBI project: a progress report. In: Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction. ACM (2007)

    Google Scholar 

  • Park, S., Moshkina, L., Arkin, R.C.: Mood as an affective component for robotic behavior with continuous adaptation via learning momentum. In: 10th IEEE-RAS International Conference on Humanoid Robots (Humanoids). IEEE (2010)

    Google Scholar 

  • Ryan, R.M.: The Oxford Handbook of Human Motivation. Oxford University Press, New York (2012)

    Book  Google Scholar 

  • Sakagami, Y., Watanabe, R., Aoyama, C., Matsunaga, S., Higaki, N., Fujimura, K.: The intelligent ASIMO: System overview and integration. In: IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE (2002)

    Google Scholar 

  • Sanchez-Cortes, D., Biel, J.I., Kumano, S., Yamato, J., Otsuka, K., Gatica-Perez, D.: Inferring mood in ubiquitous conversational video. In: Proceedings of the 12th International Conference on Mobile and Ubiquitous Multimedia. ACM (2013)

    Google Scholar 

  • Sebe, N., Cohen, I., Huang, T.S.: Multimodal emotion recognition. Handbook Pattern Recogn. Comput. Vis. 4, 387–419 (2005)

    Article  Google Scholar 

  • Stiehl, W.D., Lee, J.K., Breazeal, C., Nalin, M., Morandi, A., Sanna, A.: The huggable: a platform for research in robotic companions for pediatric care. In: Proceedings of the 8th International Conference on interaction Design and Children. ACM (2009)

    Google Scholar 

  • Sy, T., Côté, S., Saavedra, R.: The contagious leader: impact of the leader’s mood on the mood of group members, group affective tone, and group processes. J. Appl. Psychol. 90(2), 295 (2005)

    Article  Google Scholar 

  • Thayer, R.E.: The Biopsychology of Mood and Arousal. Oxford University Press, New York (1989)

    Google Scholar 

  • Thayer, R.E.: The Origin of Everyday Moods: Managing Energy, Tension, and Stress. Oxford University Press, New York (1997)

    Google Scholar 

  • Thrasher, M., Zwaag, M.D., Bianchi-Berthouze, N., Westerink, J.H.D.M.: Mood recognition based on upper body posture and movement features. In: D’Mello, S., Graesser, A., Schuller, B., Martin, J.-C. (eds.) ACII 2011. LNCS, vol. 6974, pp. 377–386. Springer, Heidelberg (2011). doi:10.1007/978-3-642-24600-5_41

    Chapter  Google Scholar 

  • Wood, J.: Interpersonal Communication: Everyday Encounters. Nelson Education, Toronto (2015)

    Google Scholar 

  • Xu, J., Broekens, J., Hindriks, K., Neerincx, M.A.: Effects of bodily mood expression of a robotic teacher on students. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014). IEEE (2014)

    Google Scholar 

Download references

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.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mojgan Hashemian .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing AG

About this paper

Cite this paper

Hashemian, M., Moradi, H., Mirian, M.S. (2016). “How Is His/Her Mood”: A Question That a Companion Robot May Be Able to Answer. In: Agah, A., Cabibihan, JJ., Howard, A., Salichs, M., He, H. (eds) Social Robotics. ICSR 2016. Lecture Notes in Computer Science(), vol 9979. Springer, Cham. https://doi.org/10.1007/978-3-319-47437-3_27

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-47437-3_27

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47436-6

  • Online ISBN: 978-3-319-47437-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics