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Perception of a Social Robot’s Mood Based on Different Types of Motions and Coloured Heart

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 12483)

Abstract

Roboticists in the field of Social Robotics try to find ways to develop robots that are able to create emotional bonds with the users and interact in natural ways. In order to achieve this, one of the features that the robot requires is the ability to convey different moods. This can be done by changing how the robot uses its output interfaces, like motors or LED. In this paper, we present a user study in which 164 participants rated their perception of a robot’s mood considering different types of body movements and heartbeat. Also, because verbal communication can convey a lot of information about the robot’s mood, we try to measure the relevance of verbal communication in relation to the perceived robot’s mood. Participants were divided in five groups where the speed and amplitude of the robot’s movements, as well as the LED configuration of the robot’s heart, changed. Results show that the modulation of the interfaces had an effect on the intensity of the mood perceived, but not big enough to change which mood the participants perceived.

Keywords

  • Emotion expression
  • Expressiveness modulation
  • Human-robot interaction
  • Multimodal interaction

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Fig. 1.
Fig. 2.

Notes

  1. 1.

    A playlist with all the videos used in the experiment can be seen here: https://www.youtube.com/playlist?list=PLxGCA0SJbjmnWzGCbopJkvnDiL6nAudho.

References

  1. Parkinson, B.: Emotions are social. Br. J. Psychol. 87(4), 663–683 (1996). https://doi.org/10.1111/j.2044-8295.1996.tb02615.x

    CrossRef  Google Scholar 

  2. Cameron, D., et al.: Presence of life-like robot expressions influences children’s enjoyment of human-robot interactions in the field. In: Proceedings of Fourth International Symposium on “New Frontiers in Human-Robot Interaction”, p. 3. The Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB), London (2015)

    Google Scholar 

  3. Crumpton, J., Bethel, C.L.: A survey of using vocal prosody to convey emotion in robot speech. Int. J. Soc. Robot. 8(2), 271–285 (2015). https://doi.org/10.1007/s12369-015-0329-4

    CrossRef  Google Scholar 

  4. Xu, J., Broekens, J., Hindriks, K., Neerincx, M.A.: Mood expression through parametrized functional behavior of robots. In: Proceedings of the International Symposium on Robot and Human Interactive Communication, Gyeongju, South Korea, 26–29 August 2013 (2013)

    Google Scholar 

  5. Itoh, C., Kato, S., Itoh, H.: Mood-transition-based emotion generation model for the robot’s personality. In: Proceedings of International Conference on Systems, Man and Cybernetics, San Antonio, Texas, USA, 11–14 October 2009 (2009)

    Google Scholar 

  6. Park, S., Moshkina, L., Arkin, R.C.: Recognizing nonverbal affective behavior in humanoid robots. In: Proceedings of the International Conference on Intelligent Autonomous Systems (IAS 2010), Ottawa, Canada, vol. 11, January 2010. https://doi.org/10.3233/978-1-60750-613-3-12

  7. Han, M., Lin, C., Song, K.: Robotic emotional expression generation based on mood transition and personality model. IEEE Trans. Cybern. 43(4), 1290–1303 (2013). https://doi.org/10.1109/TSMCB.2012.2228851

    CrossRef  Google Scholar 

  8. Beck, A., et al.: Interpretation of emotional body language displayed by a humanoid robot: a case study with children. Int. J. Soc. Robot. 5, 325–334 (2013). https://doi.org/10.1007/s12369-013-0193-z

    CrossRef  Google Scholar 

  9. Bretan, M., Hoffman, G., Weinberg, G.: Emotionally expressive dynamic physical behaviors in robots. Int. J. Hum Comput Stud. 78, 1–16 (2015). https://doi.org/10.1016/j.ijhcs.2015.01.006

    CrossRef  Google Scholar 

  10. Russel, J.A.: A circumplex model of affect. J. Pers. Soc. Psychol. 39(6), 1161–1178 (1980). https://doi.org/10.1037/h0077714

    CrossRef  Google Scholar 

  11. Salichs, E., Castro-González, Á., Malfaz, M., Salichs, M.A.: Mini: a social assistive robot for people with mild cognitive impairment. In: New Friends 2016 - 2nd International Conference on Social Robots in Therapy & and Education, pp. 31–32, Barcelona, Spain, 2 November 2016 (2016). https://doi.org/10.3926/newfriends2016

  12. Venture, G., Kulić, D.: Robot expressive motions: a survey of generation and evaluation methods. ACM Trans. Hum.-Robot Interact. 8(4), 1–17 (2019). https://doi.org/10.1145/3344286

    CrossRef  Google Scholar 

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Acknowledgment

The research leading to these results has received funding from the projects: Development of social robots to help seniors with cognitive impairment (ROBSEN), funded by the Ministerio de Economía y Competitividad; and Robots Sociales para Estimulación Física, Cognitiva y Afectiva de Mayores (ROSES), funded by the Ministerio de Ciencia, Innovación y Universidades.

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Correspondence to Enrique Fernández-Rodicio .

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Fernández-Rodicio, E., Castro-González, Á., Gamboa-Montero, J.J., Salichs, M.A. (2020). Perception of a Social Robot’s Mood Based on Different Types of Motions and Coloured Heart. In: , et al. Social Robotics. ICSR 2020. Lecture Notes in Computer Science(), vol 12483. Springer, Cham. https://doi.org/10.1007/978-3-030-62056-1_16

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  • DOI: https://doi.org/10.1007/978-3-030-62056-1_16

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