single-jc.php

JACIII Vol.26 No.6 pp. 1046-1052
doi: 10.20965/jaciii.2022.p1046
(2022)

Paper:

A Method of Empathy Robotics Based on Disgust

Xingyu Tao*, Hiroki Matsuo**, and Tomomi Hashimoto**

*Graduate School of Engineering, Saitama Institute of Technology
1690 Fusaiji, Fukaya, Saitama 369-0293, Japan

**Faculty of Engineering, Saitama Institute of Technology
1690 Fusaiji, Fukaya, Saitama 369-0293, Japan

Received:
April 7, 2022
Accepted:
August 8, 2022
Published:
November 20, 2022
Keywords:
empathy, emotional inference, communication robots
Abstract

In this paper, we propose an empathy method for communicating robots, aiming to realize robots with human-like empathy. The proposed method determines whether the robot empathizes with humans by obtaining an empathy coefficient from the robot’s own emotions and the estimated human emotions. Weiner’s empathy experiment with a sick person showed that the robot exhibited an internal state similar to that of characters inferred from the scenario. In addition, we conducted an impression evaluation experiment on the robot’s response with and without empathy and found a significant difference at the 5% level of significance in the Mann–Whitney U test. Therefore, the effectiveness of the proposed method is suggested.

Structure of LEI

Structure of LEI

Cite this article as:
X. Tao, H. Matsuo, and T. Hashimoto, “A Method of Empathy Robotics Based on Disgust,” J. Adv. Comput. Intell. Intell. Inform., Vol.26 No.6, pp. 1046-1052, 2022.
Data files:
References
  1. [1] T. Shibata and J. F. Coughlin, “Trends of Robot Therapy with Neurological Therapeutic Seal Robot, PARO,” J. Robot. Mechatron., Vol.26, No.4, pp. 418-425, 2014.
  2. [2] T. Shibata, L. Hung, S. Petersen et al., “PARO as a Biofeedback Medical Device for Mental Health in the COVID-19 Era,” Sustainability, Vol.13, No.20, Article No.11502, 2021.
  3. [3] K. Inoue, N. Sakuma, M. Okada et al., “Effective Application of PALRO: A Humanoid Type Robot for People with Dementia,” Int. Conf. on Computers for Handicapped Persons: Computers Helping People with Special Needs, pp. 451-454, 2014.
  4. [4] T. Hashimoto, X. Tao, T. Suzuki et al. “Decision-Making of Communication Robots Through Robot Ethics,” J. Adv. Comput. Intell. Intell. Inform., Vol.25, No.4, pp. 467-477, 2021.
  5. [5] S. C. Banik, K. Watanabe, and K. Izumi, “Improvement of group performance of job distributed mobile robots by an emotionally biased control system,” Artificial Life and Robotics, Vol.12, pp. 245-249, 2008.
  6. [6] Z. Yan, J. Su, Y. Su et al., “From Human Empathy to Artificial Empathy,” J. of Psychological Science, Vol.42, No.2, pp. 299-306, 2019 (in Chinese).
  7. [7] I. Leite, A. Pereira, S. Mascarenhas et al., “The influence of empathy in human–robot relations,” Int. J. of Human-Computer Studies, Vol.71, Issue 3, pp. 250-260, 2013.
  8. [8] Y. Cheng, C. P. Lin, H. L. Liu et al., “Expertise modulates the perception of pain in others,” Current Biology, Vol.17, No.19, pp. 1708-1713, 2007.
  9. [9] F. d. Vignemont and T. Singer, “The empathic brain: how, when and why?,” Trends in Cognitive Sciences, Vol.10, No.10, pp. 435-441, 2006.
  10. [10] N. Eisenberg and N. D. Eggum, “Empathic Responding: Sympathy and Personal Distress,” J. Decey and W. Ickes (Eds.), “The Social Neuroscience of Empathy,” pp. 71-83, MIT Press, 2009.
  11. [11] I. M. Piliavin, J. Rodin, and J. A. Piliavin, “Good Samaritanism: An underground phenomenon?,” J. of Personality and Social Psychology, Vol.13, No.4, pp. 289-299, 1969.
  12. [12] B. Weiner, “A cognitive (attribution)-emotion-action model of motivated behavior: An analysis of judgments of help-giving,” J. of Personality and Social Psychology, Vol.39, No.2, pp. 186-200, 1980.
  13. [13] A. Kurosu, H. Shimizu, and T. Hashimoto, “Suggestion of Emotion Model for a Communication Agent,” J. of Japan Society for Fuzzy Theory and Intelligent Informatics, Vol.29, No.1, pp. 501-506, 2017 (in Japanese).
  14. [14] K. E. Stanovich and R. F. West, “Individual Difference in Reasoning: Implications for the Rationality Debate?,” Behavioral and Brain Science, Vol.23, No.5, pp. 645-665, 2000.
  15. [15] P. Ekman and W. V. Friesen (T. Kudo (Trans.)), “Unmasking the face: A guide to recognizing emotions from facial expressions,” Seishin Shobo Ltd., 1987 (in Japanese).
  16. [16] B. Kosko, “Fuzzy cognitive maps,” Int. J. of Man-Machine Studies, Vol.24, No.1, pp. 65-75, 1986.
  17. [17] T. Hashimoto, “Generation of Emotional Corpus in a Communication Agent,” J. of the Faculty of Engineering, Saitama Institute of Technology, Vol.27, pp. 39-44, 2017 (in Japanese).
  18. [18] “MeCab,” (in Japanese) https://taku910.github.io/mecab/ [accessed March 24, 2022]
  19. [19] T. Yue and X. Huang, “The neurobiological underpinnings of trait empathy,” Advances in Psychological Science, Vol.24, No.9, pp. 1368-1376, 2016 (in Chinese).

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Apr. 05, 2024