References
- 국립암센터 (2010). http://www.ncc.re.kr/
- 보건복지가족부 정책통계포털 (2009). http://stat.mw.go.kr/
- 한국전자통신연구원 (2007). ETRI, 감성로봇 코비, 래비 첫 개발 http://www.etri.re.kr/bbs/view.etri? b_board_id= ETRI06&b_idx=2247
- Arnold, M. B. & Gasson, S. J. (1954). Feelings and emotions as dynamic factors in personality integration. In M. B. Arnold (Ed.), The Human Person: An Approach to an Integral Theory of Personality. New York: Ronald Press.
- Aurora Project (2010). http://www.aurora-project. com/
- Bartlett, M. S., Littlewort, G., Fasel, I., & Movellan, J. R. (2003). Real time face detection and facial expression recognition: development and applications to HCI. Proc. CVPR Workshop on Computer Vision and Pattern Recognition for Human-Computer Interaction, 6-11.
- Benedek, J. & Hazlett, R. L. (2005). Incorporating facial EMG emotion measures as feedback in the software design process, Conference on Human Factors in Computing Systems, 2-7.
- Bos, D. O. (2006). EEG-based emotion recognition, [Online]. Available: http://hmi.ewi.utwente.nl/ verslagen/ capita-selecta/CS-Oude_Bos-Danny. pdf.
- Broek, E. L., Lisy, V. Westerink, J., Schut, M. H., & Tuinenbreijer, K. (2009). Biosignals as an advanced man-machine interface, International joint conference on biomedical engineering systems and technologies, 15-24.
- Center for the Study of Emotion and Attention. (1999). International affective picture system (IAPS): Technical manual and affective rating. NIMH-Center for the Study of Emotion and Attention, University of Florida, Gainesville, FL.
- Dautenhahn, K. (1998). The Art of designing socially intelligent agents: Science, fiction and the human in the loop. Applied Artificial Intelligence Journal, Special Issue on Socially Intelligent Agents, 12(7-8), 573-619.
- Dawson, M. E., Schell, A. M., & Braaten, J. R. (1985). Diagnostic utility of autonomic measures for major depressive disorders, Psychiatry Research, 15, 261- 270.
- El-Nasr, M. S., Yen, J., & Ioerger, T. R. (2000). FLAME - Fuzzy logic adaptive model of emotions. Autonomous Agents and Multi-Agent Systems, 3(3), 219-257.
- Elliot, C. (1992). The Affective Reasoner: A Process Model of Emotions in a Multi-Agent System. Institute for the Learning Sciences, Evanston, IL: Northwestern University, Ph. D. Dissertation.
- Frijda, N. H. & Swagerman, J. (1987). Can computers feel? Theory and design of an emotional system. Cognition and Emotion, 1(3), 235-257.
- Fusar-Poli, P., Landi, P., & O'Connor, C. (2009). Neurophysiological response to emotional faces with increasing intensity of fear: A skin conductance response study, Journal of Clinical Neuroscience, 16(7), 981-982
- Gratch, J. & Marsella, S. (2004) A domain-independent framework for modeling emotion. Journal of Cognitive Systems Research, 5(4), 269-306.
- ISAAC Foundation (2010). Facts about autism, http://theisaacfoundation.org/facts-about-autism/
- Jong, P. J., Peters, M., & Vanderhallen, I. (2002). Disgust and disgust sensitivity in spider phobia: facial EMG in response to spider and oral disgust imagery, Journal of Anxiety Disorders, 16, 477-493.
- Kulic, D. & Croft, E. (2005). Anxiety detection during human-robot interaction, IEEE International Conference on Intelligent Robots and Systems, 616-621.
- LeDoux, L. (1996). The Emotional Brain. New York: Simon & Schuster.
- Madsen, M., el Kaliouby, R., Goodwin, M., & Picard, R. W. (2008). Technology for just-in-time in-situ learning of facial affect for persons diagnosed with an autism spectrum disorder. in Proceedings of the 10th ACM Conference on Computers and Accessibility (ASSETS), Oct. 13-15, 2008, Halifax, Canada.
- Maes, P. (1995). Artificial life meets entertainment: Lifelike autonomous agents. Communications of the ACM Special Issue on Novel Applications of AI, 38(11), 108-114.
- Maria, K. A. & Zitar, R. A. (2008). Emotional agent modeling, in simulation and modeling: Current technologies and applications. New York: IGI Publishing.
- Marsella, S. C. & Gratch, J., (2009). EMA: A Process model of appraisal dynamics. Cognitive Systems Research, 10, 70-90.
- Metallinou, A., Lee, S., & Narayanan, S. (2008). Audiovisual emotion recognition using gaussian mixture models for face and voice, IEEE International Symposium on Multimedia, 250-257.
- Muller, M. M., Keil, A., Cruber, T., & Elbert, T. (1999). Processing of affective pictures modulates righthemispheric gamma band EEG activity, Clinical Neurophysiology, 110, 1913- 1920.
- Nakanishi R. & Imai-Matsumura, K. (2008). Facial skin temperature decreases in infants with joyful expression, Infant Behavior and Development, 31(1), 137-144.
- Nwe, T. L., Foo S. W., & Silva, L. C. (2003). Speech emotion recognition using hidden Markov models, Speech Communication, 41(4), 603-623.
- Oathes, D. J., Ray, W. J., Yamasaki, A. S., Borkovec, T. D., Castonguay, L. G. Newman, M. G., & Nitschke, J. (2008). Worry, generalized anxiety disorder, and emotion: evidence from the EEG gamma band, Biological Psychology, 79(2), 165-170.
- Oatley, K. & Jenkins, J. M. (1996). Understanding Emotions. Backwell.
- Ortony, A., Clore, G., & Collins, A. (1988). The Cognitive Structure of Emotions. Cambridge: Cambridge University Press.
- Paro Therapeutic Robot (2010). http://probo.vub.ac. be/
- Picard, R. W. & Goodwin, M. (2008). Innovative technology: The future of personalized autism research and treatment, Autism Advocate, First Edition, 50(1), 32-39.
- Picard, R. W., Vyzas, E., & Healey, J. (2001). Toward machine emotional intelligence: analysis of affective physiological state, IEEE Transactions Pattern Analysis and Machine Intelligence, 23(10), 1175-1191.
- Puri, C., Olson, L., Pavlidis, L., Levine, J., & Starren, J. (2005). StressCam: non-contact measurement of users' emotional states through thermal imaging, Conference on Human Factors in Computing Systems, 1725-1728.
- Probo Project (2010). http://probo.vub.ac.be/
- Rainville, P., Bechara, A., Naqvi, N., & Damasio, A. R. (2006). Basic emotions are associated with distinct patterns of cardiorespiratory activity, International Journal of Psychophysiology, 61(1), 5-18.
- Ray, W. J. & Cole, H. W. (1985). EEG alpha activity reflects attentional demands, and beta activity reflects emotional and cognitive processes. Science, 228(4700), 750-752.
- Reilly, W. S. (1996). Believable Social and Emotional Agents. Ph. D. Dissertation, School of Computer Science, Carnegie Mellon University.
- Rizzo, A. A., Klimchuk, D., Mitura, R., Bowerly, T., Buckwalter, G. B., Kerns, K., Randall, K., Adams, R., Finn, P., Tarnanas, I., Sirbu, C., Ollendick, T. H., & Yeh, S. C. (2005). A virtual reality scenario for all seasons: The virtual classroom, Proceedings of the 11th International Conference on Human Computer Interaction, Las Vegas, USA, July 22-27.
- Roseman, I. J., Jose, P. E., & Spindel, M. S. (1990). Appraisals of emotion-eliciting events: Testing a theory of discrete emotions. Journal of Personality and Social Psychology, 59(5), 899-915.
- Schaaff, K. & Schultz, T. (2009). Towards emotion recognition from electroencephalo- graphic signals, Proceedings of International Conference on Affective Computing and Intelligent Interaction, Amsterdam, Netherlands.
- Scherer, K. (1987). Toward a dynamic theory of emotion: The component process model of affective states. Geneva Studies in Emotion and Communication, 1(1), 1-98.
- Shibata, T., Inoue, K., & Irie, R. (1996). Emotional robot for intelligent system - Artificial emotional creature project. IEEE International Workshop on Robot and Human Communication, Tokyo, Japan, 466-471.
- Takahashi, K. (2004). Remarks on emotion recognition from bio-potential signals, IEEE international conference on industrial technology, 3, 1138-1143.
- Virtual Reality Medical Center (2010). http://www. vrphobia.com/
- Ward, N. G. & Doerr, H. O. (1986). Skin conductance: a potentially sensitive and specific marker for depression, Journal of Nervous Mental Disorder, 174, 553-559.