Abstract
Human emotions and their modelling are increasingly understood to be a crucial aspect in the development of intelligent systems. Over the past years, in fact, the adoption of psychological models of emotions has become a common trend among researchers and engineers working in the sphere of affective computing. Because of the elusive nature of emotions and the ambiguity of natural language, however, psychologists have developed many different affect models, which often are not suitable for the design of applications in fields such as affective HCI, social data mining, and sentiment analysis. To this end, we propose a novel biologically-inspired and psychologically-motivated emotion categorisation model that goes beyond mere categorical and dimensional approaches. Such model represents affective states both through labels and through four independent but concomitant affective dimensions, which can potentially describe the full range of emotional experiences that are rooted in any of us.
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References
Minsky, M.: The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind. Simon & Schuster (2006)
James, W.: What is an emotion? Mind 34, 188–205 (1884)
Dalgleish, T.: The emotional brain. Nature: Perspectives 5, 582–589 (2004)
Broca, P.: Anatomie comparée des circonvolutions cérébrales: Le grand lobe limbique. Rev. Anthropol. 1, 385–498 (1878)
Papez, J.: A proposed mechanism of emotion. Neuropsychiatry Clin. Neurosci. 7, 103–112 (1937)
Maclean, P.: Psychiatric implications of physiological studies on frontotemporal portion of limbic system (visceral brain). Electroencephalogr Clin. Neurophysiol. suppl.4, 407–418 (1952)
Ledoux, J.: Synaptic Self. Penguin Books (2003)
Vesterinen, E.: Affective computing. In: Digital Media Research Seminar, Helsinki (2001)
Pantic, M.: Affective computing. In: Encyclopedia of Multimedia Technology and Networking, vol. 1, pp. 8–14. Idea Group Reference (2005)
Cambria, E., Hussain, A.: Sentic Computing: Techniques, Tools, and Applications. Springer, Dordrecht (2012)
Cambria, E., Grassi, M., Hussain, A., Havasi, C.: Sentic computing for social media marketing. Multimedia Tools and Applications 59(2), 557–577 (2012), http://dx.doi.org/10.1007/s11042-011-0815-0
Cambria, E., Song, Y., Wang, H., Hussain, A.: Isanette: A common and common sense knowledge base for opinion mining. In: ICDM, Vancouver, pp. 315–322 (2011)
Cambria, E., Havasi, C., Hussain, A.: SenticNet 2: A semantic and affective resource for opinion mining and sentiment analysis. In: FLAIRS, Marco Island, pp. 202–207 (2012)
Cambria, E., Benson, T., Eckl, C., Hussain, A.: Sentic PROMs: Application of sentic computing to the development of a novel unified framework for measuring health-care quality. Expert Systems with Applications 39(12), 10533–10543 (2012), http://dx.doi.org/10.1016/j.eswa.2012.02.120
Charles, D.: The Expression of the Emotions in Man and Animals. John Murray (1872)
Ekman, P., Dalgleish, T., Power, M.: Handbook of Cognition and Emotion. Wiley, Chichester (1999)
Scherer, K.: Psychological models of emotion. The Neuropsychology of Emotion, 137–162 (2000)
Parrott, W.: Emotions in Social Psychology. Psychology Press (2001)
Prinz, J.: Gut Reactions: A Perceptual Theory of Emotion. Oxford University Press (2004)
Douglas-Cowie, E.: Humaine deliverable d5g: Mid term report on database exemplar progress. Technical report, Information Society Technologies (2006)
Kapoor, A., Burleson, W., Picard, R.: Automatic prediction of frustration. International Journal of Human-Computer Studies 65, 724–736 (2007)
Castellano, G., Kessous, L., Caridakis, G.: Multimodal emotion recognition from expressive faces, body gestures and speech. In: Doctoral Consortium of ACII, Lisbon (2007)
Averill, J.: A constructivist view of emotion. Emotion: Theory, Research and Experience, pp. 305–339 (1980)
Russell, J.: Core affect and the psychological construction of emotion. Psychological Rev. 110, 145–172 (2003)
Osgood, C., Suci, G., Tannenbaum, P.: The Measurement of Meaning. University of Illinois Press (1957)
Russell, J.: Affective space is bipolar. Journal of Personality and Social Psychology 37, 345–356 (1979)
Whissell, C.: The dictionary of affect in language. Emotion: Theory, Research, and Experience 4, 113–131 (1989)
Plutchik, R.: The nature of emotions. American Scientist 89(4), 344–350 (2001)
Frijda, N.: The laws of emotions. American Psychologist 43(5) (1988)
Freitas, A., Castro, E.: Facial expression: The effect of the smile in the treatment of depression. empirical study with portuguese subjects. In: Emotional Expression: The Brain and The Face, pp. 127–140. University Fernando Pessoa Press (2009)
Mehrabian, A.: Pleasure-arousal-dominance: A general framework for describing and measuring individual differences in temperament. Current Psychology 14(4), 261–292 (1996)
Fontaine, J., Scherer, K., Roesch, E., Ellsworth, P.: The world of emotions is not two-dimensional. Psychological Science 18(12), 1050–1057 (2007)
Cochrane, T.: Eight dimensions for the emotions. Social Science Information 48(3), 379–420 (2009)
Lazarus, R.: Emotion and Adaptation. Oxford University Press, New York (1991)
Lewis, M.: Self-conscious emotions: Embarrassment, pride, shame, and guilt. In: Handbook of Cognition and Emotion, vol. 2, pp. 623–636. Guilford Press (2000)
Scherer, K., Shorr, A., Johnstone, T.: Appraisal Processes in Emotion: Theory, Methods, Research. Oxford University Press, Canary (2001)
Tracy, J., Robins, R., Tangney, J.: The Self-Conscious Emotions: Theory and Research. The Guilford Press (2007)
Ma, C., Osherenko, A., Prendinger, H., Ishizuka, M.: A chat system based on emotion estimation from text and embodied conversational messengers. In: Int’l Conf. Active Media Technology, pp. 546–548 (2005)
Alm, C., Roth, D., Sproat, R.: Emotions from text: Machine learning for text-based emotion prediction. In: HLT/EMNLP, pp. 347–354 (2005)
Lin, W., Wilson, T., Wiebe, J., Hauptmann, A.: Which side are you on? identifying perspectives at the document and sentence levels. In: Conference on Natural Language Learning, pp. 109–116 (2006)
D’Mello, S., Craig, S., Sullins, J., Graesser, A.: Predicting affective states expressed through an emote-aloud procedure from autotutor’s mixed-initiative dialogue. Int’l J. Artificial Intelligence in Education 16, 3–28 (2006)
Danisman, T., Alpkocak, A.: Feeler: Emotion classification of text using vector space model. In: AISB (2008)
Strapparava, C., Mihalcea, R.: Learning to identify emotions in text. In: ACM Symp. Applied Computing, pp. 1556–1560 (2008)
D’Mello, S., Dowell, N., Graesser, A.: Cohesion relationships in tutorial dialogue as predictors of affective states. In: Proceeedings of Conf. Artificial Intelligence in Education, pp. 9–16 (2009)
Grassi, M., Cambria, E., Hussain, A., Piazza, F.: Sentic web: A new paradigm for managing social media affective information. Cognitive Computation 3(3), 480–489 (2011)
Zeki, S., Romaya, J.: Neural correlates of hate. PloS One 3(10), 35–56 (2008)
Cahill, L., McGaugh, J.: A novel demonstration of enhanced memory associated with emotional arousal. Consciousness and Cognition 4(4), 410–421 (1995)
Bradford Cannon, W.: Bodily Changes in Pain, Hunger, Fear and Rage: An Account of Recent Researches into the Function of Emotional Excitement. Appleton Century Crofts (1915)
Barrett, L.: Solving the emotion paradox: Categorization and the experience of emotion. Personality and Social Psychology Review 10(1), 20–46 (2006)
Krumhuber, E., Kappas, A.: Moving smiles: The role of dynamic components for the perception of the genuineness of smiles. Journal of Nonverbal Behavior 29(1), 3–24 (2005)
Lewis, M., Granic, I.: Emotion, Development, and Self-Organization: Dynamic Systems Approaches to Emotional Development. Cambridge University Press (2002)
Csikszentmihalyi, M.: Flow: The Psychology of Optimal Experience. Harper Perennial (1991)
Minsky, M.: The Society of Mind. Simon and Schuster, New York (1986)
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Cambria, E., Livingstone, A., Hussain, A. (2012). The Hourglass of Emotions. In: Esposito, A., Esposito, A.M., Vinciarelli, A., Hoffmann, R., Müller, V.C. (eds) Cognitive Behavioural Systems. Lecture Notes in Computer Science, vol 7403. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34584-5_11
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DOI: https://doi.org/10.1007/978-3-642-34584-5_11
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