Building a Plutchik’s Wheel Inspired Affective Model for Social Robots
- 18 Downloads
As more and more social robots are applied in human-populated environments, they need an affective model to communicate with human beings naturally and believably. In addition, the model should be flexible to be applied in different areas, such as entertainment and education, and can be easily understood and operated by robot designers. To meet these requirements, we propose an affective model including emotions, moods and personality traits for social robots to mimic the affect changes of human beings. Inspired by the Plutchik’s Wheel of Emotions, we first construct an affective space which can simultaneously represent the affective concepts. According to the affective space, the model can be visualized vividly and easily understood. We then describe the interaction among these concepts to change the robot states to make the robot interact with human beings naturally and believably. By tuning the parameters of the model, it can be flexibly applied in different areas. We evaluate the proposed model in simulation and human-robot interaction experiments and the experimental results show that the model is effective.
Keywordshuman-robot interaction social robots affective model emotions moods personality traits
Unable to display preview. Download preview PDF.
This work is supported by the National Natural Science Foundation of China (No. 91748101).
- Leite I, Martinho C, Pereira A, Paiva A. As time goes by: Long-term evaluation of social presence in robotic companions. The 18th IEEE International Symposium on Robot and Human Interactive Communication, Toyama, Japan, 2009, 669–674.Google Scholar
- Cavallo F, Aquilano M, Bonaccorsi M, Limosani R, Manzi A, Carrozza C M, Dario P. On the design, development and experimentation of the ASTRO assistive robot integrated in smart environments. IEEE International Conference on Robotics and Automation, Karlsruhe, Germany, 2013, 4310–4315.Google Scholar
- Reeves B, Nass C I. The Media Equation: How People Treat Computers, Television, and New Media like Real People and Places, Cambridge University Press, New York, USA, 1996, 3–18.Google Scholar
- Cuadrado L E I, Riesco Á M, López F D L P. ARTIE: An integrated environment for the development of affective robot tutors. Frontiers in Computational Neuroscience, 2016, 10, 77–92.Google Scholar
- Scherer K. The Neuropsychology of Emotion, Oxford University Press, Oxford, UK, 2000, 137–162.Google Scholar
- Robert P. Emotion: A Psychoevolutionary Synthesis, Harpercollins College Division, New York, USA, 1980.Google Scholar
- Hume D. Organizational Behavior, Prentice Hall, New Jersey, USA, 2012, 258–297.Google Scholar
- Han J, Xie L, Li D, He Z J, Wang Z L. Cognitive emotion model for eldercare robot in smart home. China Communications, 2015, 12, 32–41.Google Scholar
- Miwa H, Okuchi T, Itoh K, Takanobu H, Takanishi A. A new mental model for humanoid robots for human friendly communication introduction of learning system, mood vector and second order equations of emotion. IEEE International Conference on Robotics and Automation, Taipei, China, 2003, 3588–3593.Google Scholar
- Long L N. A model for temperament and emotions on robots. The 8th International Conference on Applied Human Factors and Ergonomics, Los Angeles, USA, 2017, 3–13.Google Scholar
- Gebhard P. ALMA: A layered model of affect. Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems, New York, USA, 2005, 29–36.Google Scholar
- Gerrig R J, Zimbardo P G, Campbell A J, Cumming S R, Wilkes F J. Psychology and Life, Pearson Higher Education, Melbourne, Australia, 2015.Google Scholar
- Lyubomirsky S. Hedonic adaptation to positive and negative experiences. The Oxford Handbook of Stress, Health, and Coping, Oxford University Press, Oxford, UK, 2012.Google Scholar
- Diener E, Lucas R E, Scollon C N. The Science of Well-Being, Springer, Dordrecht, Netherlands, 2009, 103–118.Google Scholar
- Lund A M. Measuring usability with the USE questionnaire. Usability Interface, 2001, 8, 3–6.Google Scholar