The Good, the Bad and the Neutral: Affective Profile in Dialog System-User Communication

  • Marcin Skowron
  • Stefan Rank
  • Mathias Theunis
  • Julian Sienkiewicz
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6974)

Abstract

We describe the use of affective profiles in a dialog system and its effect on participants’ perception of conversational partners and experienced emotional changes in an experimental setting, as well as the mechanisms for realising three different affective profiles and for steering task-oriented follow-up dialogs. Experimental results show that the system’s affective profile determines the rating of chatting enjoyment and user-system emotional connection to a large extent. Self-reported emotional changes experienced by participants during an interaction with the system are also strongly correlated with the type of applied profile. Perception of core capabilities of the system, realism and coherence of dialog, are only influenced to a limited extent.

Keywords

affective dialog system affective profile conversational agent affective computing HCI 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Altman, I., Taylor, D.: Social penetration: The development of interpersonal relationships. Holt, Rinehart & Winston (1973)Google Scholar
  2. 2.
    Bee, N., André, E., Vogt, T., Gebhard, P.: First ideas on the use of affective cues in an empathic computer-based companion. In: AAMAS 2009 Workshop on Empathic Agents (2009)Google Scholar
  3. 3.
    Bradley, M., Lang, P.: Affective norms for english words (anew). Univ. of Florida (1999)Google Scholar
  4. 4.
    Cavazza, M., de la Cámara, R.S., Turunen, M., Gil, J.R., Hakulinen, J., Crook, N., Field, D.: how was your day?: an affective companion eca prototype. In: Proc. of the 11th Ann. Meeting of the SIG on Discourse and Dialogue, SIGDIAL 2010, pp. 277–280. Ass. for Computational Linguistics, Stroudsburg (2010)Google Scholar
  5. 5.
    Darwin, C.: The expression of the emotions in man and animal Murray (1872)Google Scholar
  6. 6.
    Dmello, S.K., Craig, S.D., Gholson, B., Franklin, S.: Integrating affect sensors in an intelligent tutoring system. In: Affective Interactions: The Computer in the Affective Loop Workshop at 2005 Intl. Conf. on Intelligent User Interfaces, 2005, pp. 7–13. AMC Press (2005)Google Scholar
  7. 7.
    Ekman, P., Friesen, W.V.: Constants across cultures in the face and emotion. J. of Personality and Social Psychology 17(2), 124–129 (1971)CrossRefGoogle Scholar
  8. 8.
    Forgas, J.P.: Affective influences on self-disclosure: Mood effects on the intimacy and reciprocity of disclosing personal information. J. of Personality and Social Psychology 100(3), 449–461 (2011)CrossRefGoogle Scholar
  9. 9.
    Gobron, S., Ahn, J., Quentin, S., Thalmann, D., Skowron, M., Rank, S., Paltoglou, G., Thelwall, M., Kappas, A.: 3d-emochatting: an interdisciplinary communication model for vr chatting. In Review Process (submitted)Google Scholar
  10. 10.
    Konstantopoulos, S.: An embodied dialogue system with personality and emotions. In: Proc. of the 2010 Workshop on Companionable Dialogue Systems, CDS 2010, pp. 31–36. Ass. for Computational Linguistics, Stroudsburg (2010)Google Scholar
  11. 11.
    Ochs, M., Pelachaud, C., Sadek, D.: An empathic virtual dialog agent to improve human-machine interaction (2008)Google Scholar
  12. 12.
    Osgood, C.E., Suci, G.J., Tannenbaum, P.H.: The measurement of meaning. Univ. of Illinois Press, Urbana (1957)Google Scholar
  13. 13.
    Paltoglou, G., Gobron, S., Skowron, M., Thelwall, M., Thalmann, D.: Sentiment analysis of informal textual communication in cyberspace. In: Proc. Engage 2010. Springer LNCS State-of-the-Art Survey, pp. 13–25 (2010)Google Scholar
  14. 14.
    Partala, T., Surakka, V.: The effects of affective interventions in human-computer interaction. Interacting with Computers 16(2), 295–309 (2004)CrossRefGoogle Scholar
  15. 15.
    Pennebaker, J.W., Francis, M.E., Booth, R.K.: Linguistic Inquiry and Word Count: LIWC 2001. Erlbaum Publishers, Mahwah (2001)Google Scholar
  16. 16.
    Prendinger, H., Mori, J., Ishizuka, M.: Using human physiology to evaluate subtle expressivity of a virtual quizmaster in a mathematical game. Int. J. Hum.-Comput. Stud. 62(2), 231–245 (2005)CrossRefGoogle Scholar
  17. 17.
    Schumaker, R.P., Liu, Y., Ginsburg, M., Chen, H.: Evaluating mass knowledge acquisition using the alice chatterbot: The az-alice dialog system. Int. J. of Man-Machine Studies 64(11), 1132–1140 (2006)Google Scholar
  18. 18.
    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)CrossRefGoogle Scholar
  19. 19.
    Skowron, M., Paltoglou, G.: Affect bartender - affective cues and their application in a conversational agent. In: IEEE Symposium Series on Computational Intelligence 2011, Workshop on Affective Computational Intelligence. IEEE, Los Alamitos (2011)Google Scholar
  20. 20.
    Skowron, M., Pirker, H., Rank, S., Paltoglou, G., Ahn, J., Gobron, S.: No peanuts! affective cues for the virtual bartender. In: Proc. of the Florida Artificial Intelligence Research Society Conf. AAAI Press, Menlo Park (2011)Google Scholar
  21. 21.
    Watson, D., Tellegen, A.: Toward a consensual structure of mood. Psychological Bulletin 98(2), 219–235 (1985)CrossRefGoogle Scholar
  22. 22.
    Witbrock, M., Baxter, D., Curtis, J., Schneider, D., Kahlert, R., Miraglia, P., Wagner, P., Panton, K., Matthews, G., Vizedom, A.: An interactive dialogue system for knowledge acquisition in cyc. In: Proc. of the IJCAI 2003 Workshop on Mixed-Initiative Intelligent Systems (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Marcin Skowron
    • 1
  • Stefan Rank
    • 1
  • Mathias Theunis
    • 2
  • Julian Sienkiewicz
    • 3
  1. 1.Austrian Research Institite for Artificial IntelligenceViennaAustria
  2. 2.School of Humanities and Social SciencesJacobs UniversityBremenGermany
  3. 3.Faculty of PhysicsWarsaw University of TechnologyWarsawPoland

Personalised recommendations