DOI QR코드

DOI QR Code

An Emotion Appraisal System Based on a Cognitive Context

인지적 맥락에 기반한 감정 평가 시스템

  • 안현식 (동명대학교 로봇시스템공학과)
  • Published : 2010.01.01

Abstract

The interaction of emotion is an important factor in Human-Robot Interaction(HRI). This requires a contextual appraisal of emotion extracting the emotional information according to the events happened from past to present. In this paper an emotion appraisal system based on the cognitive context is presented. Firstly, a conventional emotion appraisal model is simplified to model a contextual emotion appraisal which defines the types of emotion appraisal, the target of the emotion induced from analyzing emotional verbs, and the transition of emotions in the context. We employ a language based cognitive system and its sentential memory and object descriptor to define the type and target of emotion and to evaluate the emotion varying with the process of time with the a priori emotional evaluation of targets. In a experimentation, we simulate the proposed emotion appraisal system with a scenario and show the feasibility of the system to HRI.

Keywords

References

  1. 안신호, "인간-로봇 정서적 상호작용 연구를 위한 정서심리학적 기초," 로봇공학회지, vol. 2, no. 3, pp. 44-67, 2005.
  2. M. Hashimoto, C. Yokogawa, and T. Sadoyama, "Development and control of a face robot imitating human muscular structures," International Conference on Intelligent Robots and Systems, pp. 1855-1860, Beijing, China, 2006.
  3. H. S. Lee, J. W. Park, and M. J. Chung, "A linear affective space model based on the facial expressions for mascot-type robots," SICE-ICASE International Joint Conference 2006, pp. 5367-5372, Korea, Oct. 2006.
  4. G.-Y. Park, S.-I. Lee, W.-Y. Kwon, and J.-B. Park, "Neurocognitive affective system for an emotive robot," Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robot and Systems, pp. 2595-2600, Oct. 2006.
  5. R. C. Arkin, M. Fujita, T. Takagi, and R. Hasegawa, "An ethological and emotional basis for human-robot interaction," Robotics and Autonomous Systems, vol. 42, no. 3, pp. 191-201, Mar. 2003. https://doi.org/10.1016/S0921-8890(02)00375-5
  6. 김원일, 김동현, 홍유식, 이창민, "감정 에이전트를 이용한 자동 이야기 생성 시스템의 설계," 대한전자공학회 논문지, vol. 45, CI, no. 5, pp. 140-146, 2008.
  7. Sejin Oh, Jonathan Gratch, and Woontack Woo, "Explanatory style for socially interactive agents," Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction, pp. 534-545, Lisbon Portugal, 2007.
  8. A. Ortony, G. L. Clore, and A. Collins, "The cognitive structure of emotion," Cambridge University press, 1988.
  9. 안현식, "언어기반의 인지시스템을 위한 시공간적 기초화," 제어.로봇.시스템학회 논문지, 제15권 제1호, 2009. https://doi.org/10.5302/J.ICROS.2009.15.1.111
  10. M. P. Marcus, B. Santorini, and M. A. Marcinkiewicz, "Building a large annotated corpus of english: The penn treebank," Computational Linguistics, vol. 19, no. 2, pp. 313-330, 1993.
  11. S. M. Garnsey, N. J. Pearlmuttter, E. Myers, and M. A. Lotocky, "The contributions of verb bias and plausibility to the comprehension of temporarily ambiguous sentences," Journal of Memory and Language, vol. 37, pp. 58-93, 1997. https://doi.org/10.1006/jmla.1997.2512
  12. 정태구, 논항구조와 영어 통사론, 한국문화사, 2002.
  13. http://www.abisource.com/projects/link-grammar/