Formalization of Event Perception and Event Appraisal Process
DOI:
https://doi.org/10.9781/ijimai.2015.339Keywords:
Emotion recognition, Event Perception, EventsAbstract
Integration of emotion in a virtual agent is a topic of research to depict human-like behavior in a simulated environment. For the last few decades, many researchers are working in the field of incorporating emotions in a virtual agent. In the emotion model, the behavior of an agent depends upon how the event is perceived by the agent with respect to the goal. Hence, perception of the event while considering the past experience, importance of event towards achieving goal, agent’s own capabilities and resources is an important process which directly influences the decision making and action selection. The proposed models, till date, are either too complex to adapt or are using a very few parameters to describe the event. So, in this paper, we propose an extension of perception process in an existing emotion model, EMIA and suggest the formalization of event perception and appraisal processes to make it adaptable. This has been carried out using five parameters for event description along-with fuzzy logic which makes the process more effective yet simple.Downloads
References
[1] A. Ortony, G. Clore, A. Collins, “The cognitive structure of emotions”. Cambridge university press, Cambridge, MA, 1998.
[2] A Saini, N Bhatia, B Suri, S Jain, “EmoXract: Domain independent emotion mining model for unstructured data” Seventh International Conference on Contemporary Computing (IC3), 2014, pp. 94-98
[3] B. Vishwanath, et al. "Machine learning approach for text and document mining." arXiv preprint arXiv:1406.1580 , 2014.
[4] E. Hudlicka, “Modeling Effects of Behavior Moderators on Performance”. In Proceedings of BRIMS-12, Phoenix, AZ 2003.
[5] H. Jiang, J. M. Vidal, M. N. Huhns, “EBDI: architecture for emotional agents”. In Proc. Of the 6th International Joint Conference on Autonomous agents and multiagent systems, 2007, pp. 1-3.
[6] I. J. Roseman, P. E. Jose, M. S. Spindel, “Appraisals of emotioneliciting events: testing a theory of discrete emotions”. Journal of personality and social psychology, 59(5), 1990, pp. 899-915.
[7] J. Gratch, S. Marsella, “A domain independent frame-work for modeling emotion”. Journal of Cognitive Systems Research, 5(4), 2004, pp. 269-306.
[8] K. Asawa, and P. Manchanda, “Recognition of Emotions using Energy Based Bimodal Information Fusion and Correlation”, International Journal of Artificial Intelligence and Interactive Multimedia, 2(7), 2014, pp17-21.
[9] K. Scherer, “A emotion as a multi-component process: a model and some cross-cultural data”, Review of personality and social psychology, 5, 1994, pp. 37-63.
[10] M. Dastani, J. J. Meyer, “Agents with Emotions”. International Journal of Intelligent Systems, 25(7), 2010, pp. 636-654.
[11] M. S. El-Nasr, J. Yen, T. R. Ioerger, “FLAME - A Fuzzy Logic Adaptive Model of Emotions”. Journal of Automous Agents and Multi-agent Systems, 3, 2000, pp. 219-257.
[12] N. Bellustin, et al. "Instant human face attributes recognition system." Int. J. Adv. Comput. Sci. Appl., Special Issue Artif. Intel, 3, 2011.
[13] P. Ekman, “An argument for basic emotion”. Cognition and Emotion, 6, 1998, pp 169-200.
[14] P. Kumari, and A. Vaish. "Brainwave based user identification system: A pilot study in robotics environment." Robotics and Autonomous Systems, 2015, pp. 15-23.
[15] P. Kumari, and A. Vaish. "Brainwave's energy feature extraction using wavelet transform." Electrical, Electronics and Computer Science (SCEECS), 2014 IEEE Students' Conference on. IEEE, 2014.
[16] P. Kumari, and A. Vaish. "Instant Face detection and attributes recognition." International Journal of Advanced Computer Science and Applications, 2011.
[17] P. Kumari, S. Kumar, and A. Vaish. "Feature extraction using emprical mode decomposition for biometric system." Signal
Propagation and Computer Technology (ICSPCT), 2014 International Conference on. IEEE, 2014.
[18] S. J. B. Castro, R. Gonzalez-Crespo, and V. H. Medina-Garcia, “Patterns of Software Development Process”, International Journal of Artificial Intelligence and Interactive Multimedia, 1(4), 2011, pp. 33.
[19] S. Jain, K. Asawa, “EmET: Emotion Elicitation and Emotion Transition Model” , Second International Conference on Information Systems Design and Intelligent Applications – 2015, Advances in Intelligent Systems and Computing (AISC)–Springer, 2015.
[20] S. Jain, K. Asawa, “EMIA: Emotion Model for Intelligent Agent”. Journal of Intelligent Systems. Published online. DOI 10.1515/jisys2014-0071. 2015.
[21] S. Planet, and I. Iriondo, “Comparative Study on Feature Selection and Fusion Schemes for Emotion Recognition from Speech”, International Journal of Artificial Intelligence and Interactive Multimedia, 1(6), 2012, pp 44-51.
[22] T. Dang,, S. L. Zarshenas, D. Duhaut, “Grace – Generic Robotic Architecture To Create Emotions” . In Proc. Of 11th International Conference on Climbing and Walking Robots and the Suort Technonlogies for Mobile Machines – CLAWAR 2008. Coimbra, Portugal, 2008.
Downloads
Published
-
Abstract34
-
PDF11
Submit Article
Information
