Abstract
Online communications involve an emotional component that influences the behaviour of internet users. Datasets on online communication allow for modelling emotional effects on individual and collective behaviour of users to make predictions about behaviour in online chat environments. One application of such models is decision-support for online bots that interact with users in real-time for studying the role of emotions in online communication, Affect Listeners, requiring short-term predictions about current participants. We describe an agent-based simulation of individuals’ emotional interaction online based on automatic annotation of the affective content of exchanged messages. In particular, we focus on using this model to derive a default model, a ’personality’, for new users joining an environment based on already observed users.
Modelling-emotional-trajectories-of-individuals-in-an-online-chat.
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References
Arnold, M.B.: Feelings and Emotions As Dynamic Factors in Personality Integration. In: Arnold, M.B., Gasson, J. (eds.) The Human Person, pp. 294–313. Ronald Press, New York (1954)
Bradley, M., Lang, P.: Affective norms for English words (ANEW): Instruction manual and affective ratings. Tech. rep., Technical Report C-1, The Center for Research in Psychophysiology, Univ. of Florida (1999)
Chmiel, A., Sienkiewicz, J., Paltoglou, G., Buckley, K., Thelwall, M., Holyst, J.: Negative emotions boost users activity at BBC Forum. Physica A 390(16), 2936–2944 (2011)
Chmiel, A., Sienkiewicz, J., Thelwall, M., Paltoglou, G., Buckley, K., Kappas, A., Holyst, J.A.: Collective Emotions Online and Their Influence On Community Life. PLoSONE 6(7), e22207 (2011)
Derks, D., Bos, A.E., Grumbkow, J.V.: Emoticons and Online Message Interpretation. Social Science Computer Review 26(3), 379–388 (2008)
Garas, A., Garcia, D., Skowron, M., Schweitzer, F.: Emotional Persistence in Online Chatting Communities. Scientific Reports 2, 402 (2012)
Kim, S.M., Hovy, E.: Determining the Sentiment of Opinions. In: Gambäck, B., Jokinen, K. (eds.) Proc. 20th Int. Conf. on Computational Linguistics (COLING 2004), Geneva, Switzerland, p. 1367. Association for Computational Linguistics, Stroudsburg (2004)
Liu, B.: Sentiment Analysis and Subjectivity. In: Indurkya, N., Damerau, F.J. (eds.) Handbook of Natural Language Processing, 2nd edn., ch. 28. CRC Press, Taylor and Francis Group, Boca Raton (2010)
Marsella, S., Gratch, J., Petta, P.: Computational Models of Emotion. In: Scherer, K.R., Baenziger, T., Roesch, E.B. (eds.) A Blueprint for Affective Computing - A Sourcebook and Manual, pp. 21–46. Oxford Univ. Press (2010)
Mascarenhas, S., Dias, J., Prada, R., Paiva, A.: A Dimensional Model for Cultural Behavior in Virtual Agents. Applied Artificial Intelligence 24, 552–574 (2010)
Petta, P., Pelachaud, C., Cowie, R. (eds.): Emotion-Oriented Systems: The Humaine Handbook. Springer (2011)
Rank, S.: Designing an Agent-based Simulation of Collective Emotions. In: Trappl, R. (ed.) Cybernetics and Systems 2010 - Proc. Twentieth Meeting on Cybernetics and Systems Research. Austrian Soc. for Cybernetic Studies, Vienna (2010)
Rank, S.: Docking Agent-based Simulation of Collective Emotion to Equation-based Models and Interactive Agents. In: Oeren, T., Yilmaz, L. (eds.) Proc. of Agent-Directed Simulation Symposium at the 2010 Spring Simulation Conf. Spring Sim 2010, pp. 82–89. The Soc. for Modeling & Simulation Int. (SCS) (2010)
Roseman, I.J., Smith, C.A.: Appraisal Theory: Overview, Assumptions, Varieties, Controversies. In: Scherer, K.R., Schorr, A., Johnstone, T. (eds.) Appraisal Processes in Emotion: Theory, Methods, Research, pp. 3–19. Oxford Univ. Press, Oxford (2001)
Scherer, K., Wranik, T., Tran, V., Scherer, U.: Emotions in Everyday Life. Social Science Information 43(4), 499–570 (2004)
Schweitzer, F.: Brownian Agents and Active Particles - On the Emergence of Complex Behavior in the Natural and Social Sciences. Springer, Berlin (2003)
Schweitzer, F., Garcia, D.: An agent-based model of collective emotions in online communities. European Physical J.B 77(4), 533–545 (2010)
Skowron, M.: Affect Listeners: Acquisition of Affective States by Means of Conversational Systems. In: Esposito, A., Campbell, N., Vogel, C., Hussain, A., Nijholt, A. (eds.) Second COST 2102. LNCS, vol. 5967, pp. 169–181. Springer, Heidelberg (2010)
Skowron, M., Rank, S., Theunis, M., Sienkiewicz, J.: The Good, the Bad and the Neutral: Affective Profile in Dialog System-User Communication. In: D’Mello, S., Graesser, A., Schuller, B., Martin, J.-C. (eds.) ACII 2011, Part I. LNCS, vol. 6974, pp. 337–346. Springer, Heidelberg (2011)
Skowron, M., Theunis, M., Rank, S., Borowiec, A.: Effect of Affective Profile on Communication Patterns and Affective Expressions in Interactions with a Dialog System. In: D’Mello, S., Graesser, A., Schuller, B., Martin, J.-C. (eds.) ACII 2011, Part I. LNCS, vol. 6974, pp. 347–356. Springer, Heidelberg (2011)
Thelwall, M., Buckley, K., Paltoglou, G.: Sentiment Strength Detection for the Social Web. J. of the American Soc. for Information Science and Technology 63(1), 163–173 (2012)
Thelwall, M., Buckley, K., Paltoglou, G., Cai, D., Kappas, A.: Sentiment Strength Detection in Short Informal Text. J. of the American Soc. for Information Science and Technology 61(12), 2544–2558 (2010)
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Galik, M., Rank, S. (2012). Modelling Emotional Trajectories of Individuals in an Online Chat. In: Timm, I.J., Guttmann, C. (eds) Multiagent System Technologies. MATES 2012. Lecture Notes in Computer Science(), vol 7598. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33690-4_10
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DOI: https://doi.org/10.1007/978-3-642-33690-4_10
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