Abstract
This paper introduces a method for developing a socially-constructed theory of emotions that aims to reflect the aggregated judgments of ordinary people about emotion terms. Emotion Twenty Questions (EMO20Q) is a dialog-based game that is similar to the familiar Twenty Questions game except that the object of guessing is the name for an emotion, rather than an arbitrary object. The game is implemented as a dyadic computer chat application using the Extensible Messaging and Presence Protocol (XMPP). We describe the idea of a theory that is socially-constructed by design, or crowd-sourced, as opposed to the de facto social construction of theories by the scientific community. This paper argues that such a subtle change in paradigm is useful when studying natural usage of emotion words, which can mean different things to different people but still contain a shared, socially-defined meaning that can be arrived at through conversational dialogs. The game of EMO20Q provides a framework for demonstrating this shared meaning and, moreover, provides a standardized way for collecting the judgments of ordinary people. The paper offers preliminary results of EMO20Q pilot experiments, showing that such a game is feasible and that it generates a range of questions that can be used to describe emotions.
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References
Gordon, A., Kazemzadeh, A., Nair, A., Petrova, M.: Recognizing expressions of commonsense psychology in english text. In: Proceedings of the 41st Annual Meeting on Association for Computational Linguistics, ACL 2003 (2003)
Singh, P., Lin, T., Mueller, E.T., Lim, G., Perkins, T., Zhu, W.L.: Open mind common sense: Knowledge acquisition from the general public. In: Chung, S., et al. (eds.) CoopIS 2002, DOA 2002, and ODBASE 2002. LNCS, vol. 2519, pp. 1223–1237. Springer, Heidelberg (2002)
Devillers, L., Abrilian, S., Martin, J.-C.: Representing real-life emotions in audiovisual data with non basic emotional patterns and context features. In: Tao, J., Tan, T., Picard, R.W. (eds.) ACII 2005. LNCS, vol. 3784, pp. 519–526. Springer, Heidelberg (2005)
Mower, E., Metallinou, A., Lee, C.-C., Kazemzadeh, A., Busso, C., Lee, S., Narayanan, S.: Interpreting ambiguous emotional expressions. In: ACII Special Session: Recognition of Non-Prototypical Emotion from Speech-The Final Frontier?, Amsterdam, Netherlands (2009)
Howe, J.: The rise of crowdsourcing. Wired Magazine 14.06 (June 2006)
von Ahn, L., Dabbish, L.: Labeling images with a computer game. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (2004)
Zhong, N., Liu, J., Yao, Y., Ohsuga, S.: Web intelligence. In: Computer Software and Applications Conference (2000)
Whissell, C.M.: The Dictionary of Affect in Language, pp. 113–131. Academic Press, London (1989)
Osgood, C.E., Suci, G.J., Tannenbaum, P.H.: The Measurement of Meaning. University of Illinois Press, US (1957)
Oudeyer, P.: The production and recognition of emotions in speech: features and algorithms. J. Hum. Comput. Stud. 59, 157–183 (2003)
Russell, J.A., Mehrabian, A.: Evidence for a three-factor theory of emotions. Journal of Research in Personality 11, 273–294 (1977)
Kazemzadeh, A., Lee, S., Narayanan, S.: An interval type-2 fuzzy logic system to translate between emotion-related vocabularies. In: Proceedings of Interspeech, Brisbane, Australia (September 2008)
Kazemzadeh, A.: Using interval type-2 fuzzy logic to translate emotion words from spanish to english. In: IEEE World Conference on Computational Intelligence (WCCI) FUZZ-IEEE Workshop (2010)
Enderton, H.B.: A Mathematical Introduction to Logic, 2nd edn. Academic Press, London (2001)
Ganter, B., Wille, G.S.R. (eds.): Formal Concept Analysis: foundation and applications. Springer, Berlin (2005)
Kunegis, J., Lommatzsch, A., Bauckhage, C.: The slashdot zoo: Mining a social network with negative costs. In: World Wide Web Conference (WWW 2009), Madrid, pp. 741–750 (April 2009)
Kazemzadeh, A., Lee, S., Georgiou, P.G., Narayanan, S.: Determining what questions to ask, with the help of spectral graph theory. In: Proceedings of Interspeech (2011)
Kazemzadeh, A., Gibson, J., Georgiou, P., Lee, S., Narayanan, S.: Emo20q questioner agent. In: D´Mello, S., et al. (eds.) Proceedings of ACII (Interactive Event), vol. 6975, pp. 313–314. Springer, Heidelberg (2011), The interactive demo http://sail.usc.edu/emo20q/questioner/questioner.cgi
Kazemzadeh, A., Lee, S., Narayanan, S.: An interval type-2 fuzzy logic model for the meaning of words in an emotional vocabulary (2011) (under review)
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Kazemzadeh, A., Lee, S., Georgiou, P.G., Narayanan, S.S. (2011). Emotion Twenty Questions: Toward a Crowd-Sourced Theory of Emotions. In: D’Mello, S., Graesser, A., Schuller, B., Martin, JC. (eds) Affective Computing and Intelligent Interaction. ACII 2011. Lecture Notes in Computer Science, vol 6975. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24571-8_1
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DOI: https://doi.org/10.1007/978-3-642-24571-8_1
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