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How Do You Like Your Virtual Agent?: Human-Agent Interaction Experience through Nonverbal Features and Personality Traits

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Human Behavior Understanding (HBU 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8749))

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Abstract

Recent studies suggest that human interaction experience with virtual agents can be, to a very large degree, described by people’s personality traits. Moreover, the nonverbal behavior of a person has been known to indicate several social constructs in different settings. In this study, we analyze human-agent interaction from the perspective of the personality of the human and the nonverbal behaviors he/she displays during the interaction. Based on existing work in psychology, we designed and recorded an experiment on human-agent interactions, in which a human communicates with two different virtual agents. Human-agent interactions are described with three self-reported measures: quality, rapport and likeness of the agent. We investigate the use of self-reported personality traits and extracted audio-visual nonverbal features as descriptors of these measures. Our results on a correlation analysis show significant correlations between the interaction measures and several of the personality traits and nonverbal features, which are supported by both psychology and human-agent interaction literature. We further use traits and nonverbal cues as features to build regression models for predicting measures of interaction experience. Our results show that the best results are obtained when nonverbal cues and personality traits are used together.

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References

  1. Aran, O., Gatica-Perez, D.: One of a Kind: Inferring Personality Impressions in Meetings. In: International Conference on Multimodal Interaction (ICMI), Sydney, pp. 11–18 (2013)

    Google Scholar 

  2. Argyle, M.: Bodily communication. Methuen (1988)

    Google Scholar 

  3. Biel, J.-I., Gatica-Perez, D.: The Youtube lens: Crowdsourced personality impression and audiovisual of vlogs. IEEE Transactions on Multimedia 15(1), 41–55 (2012)

    Article  Google Scholar 

  4. Biel, J.-I., Aran, O., Gatica-Perez, D.: The Good, the Bad, and the Angry: Analyzing Crowdsourced Impressions of Vloggers. In: International Conference on Weblogs and Social Media, ICWSM (2012)

    Google Scholar 

  5. Buisine, S., Martin, J.C.: The influence of user’s personality and gender on the processing of virtual agents multimodal behavior. Advances in Psychology Research, 1–14 (2010)

    Google Scholar 

  6. Cafaro, A., Vilhjálmsson, H.H., Bickmore, T., Heylen, D., Jóhannsdóttir, K.R., Valgarðsson, G.S.: First impressions: Users’ judgments of virtual agents’ personality and interpersonal attitude in first encounters. In: Nakano, Y., Neff, M., Paiva, A., Walker, M. (eds.) IVA 2012. LNCS, vol. 7502, pp. 67–80. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  7. Cuperman, R., Ickes, W.: Big five predictors of behavior and perceptions in initial dyadic interactions: personality similarity helps extraverts and introverts, but hurts disagreeables. Journal of Personality and Social Psychology 97(4), 667–684 (2009)

    Article  Google Scholar 

  8. Ekman, P., Friesen, W., O’Sullivan, M., Cherer, K.: Relative importance of face, body, and speech in judgments of personality and affect. Journal of Personality and Social Psychology 38(2), 270–277 (1980)

    Article  Google Scholar 

  9. Funder, D.C., Sneed, C.D.: Behavioral manifestations of personality: An ecological approach to judgmental accuracy. Journal of Personality and Social Psychology 64, 479–490 (1993)

    Article  Google Scholar 

  10. Isbister, K., Nass, C.: Consistency of personality in interactive characters: verbal cues, non-verbal cues, and user characteristics. International Journal of Human-Computer Studies 53(2), 251–267 (2000)

    Article  Google Scholar 

  11. Jung, C.: Psychological types. Harcourt, Brace, New York (1921)

    Google Scholar 

  12. Kang, S.-H., Gratch, J., Wang, N., Watt, J.H.: Agreeable people like agreeable virtual humans. In: Prendinger, H., Lester, J.C., Ishizuka, M. (eds.) IVA 2008. LNCS (LNAI), vol. 5208, pp. 253–261. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  13. Knapp, M.L., Hall, J.A., Horgan, T.G.: Nonverbal Communication in Human Interaction, 8th edn. Cengage Learning (January 2013)

    Google Scholar 

  14. Lefter, I., Burghouts, G.J., Rothkrantz, L.J.M.: Automatic Audio-Visual Fusion for Aggression Detection Using Meta-information avss. In: 2012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance, pp. 19–24 (2012)

    Google Scholar 

  15. Maxwell, G.M., Cook, M.W.: Postural congruence and judgements of liking and perceived similarity. New Zealand Journal of Psychology 15(1), 20–26 (1985)

    Google Scholar 

  16. McCrae, R.R., Costa, P.T.: A contemplated revision of the NEO Five-Factor Inventory. Personality and Individual Differences 36(3), 587–596 (2004)

    Article  Google Scholar 

  17. McRorie, M., Sneddon, I., McKeown, G., Bevacqua, E., Sevin, E., Pelachaud, C.: Evaluation of four designed virtual agent personalities. Transactions on Affective Computing 3(3), 311–322 (2012)

    Article  Google Scholar 

  18. Mehrabian, A.: Significance of posture and position in the communication of attitude and status relationships. Psychological Bulletin 71(5), 359–372 (1969)

    Article  Google Scholar 

  19. Nass, C., Lee, K.M.: Does computer-generated speech manifest personality? an experimental test of similarity-attraction. In: CHI 2000: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, New York, NY, USA, pp. 329–336 (2000)

    Google Scholar 

  20. Nguyen, L., Marcos-Ramiro, A., Marron-Romera, M., Gatica-Perez, D.: Multimodal Analysis of Body Communication Cues in Employment Interviews. In: Proc. ACM Int. Conf. on Multimodal Interaction (ICMI), Sydney (December 2013)

    Google Scholar 

  21. Palmer, M.T., Simmons, K.B.: Communicating intentions through nonverbal behaviors conscious and nonconscious encoding of liking. Human Communication Research 22(1), 128–160 (1995)

    Article  Google Scholar 

  22. Pentland, A.S.: Honest Signals: How They Shape Our World. The MIT Press (2008)

    Google Scholar 

  23. Pianesi, F., Zancanaro, M., Lepri, B., Cappelletti, A.: A multimodal annotated corpus of consensus decision making meetings. Language Resources and Evaluation 41(3), 409–429 (2007)

    Article  Google Scholar 

  24. Ray, G.B., Floyd, K.: Nonverbal expressions of liking and disliking in initial interaction: Encoding and decoding perspectives. Southern Communication Journal 71(1), 45–65 (2006)

    Article  Google Scholar 

  25. Sanchez-Cortes, D., Aran, O., Jayagopi, D., Schmid Mast, M., Gatica-Perez, D.: Emergent Leaders through Looking and Speaking: From Audio-Visual Data to Multimodal Recognition. Journal on Multimodal User Interfaces Special Issue on Multimodal Corpora 7(1-2), 39–53 (2013) (published online August 2012)

    Google Scholar 

  26. Sun, X., Nijholt, A., Truong, K.P., Pantic, M.: Automatic understanding of affective and social signals by multimodal mimicry recognition. In: D’Mello, S., Graesser, A., Schuller, B., Martin, J.-C. (eds.) ACII 2011, Part II. LNCS, vol. 6975, pp. 289–296. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  27. Tapus, A., Mataric, M.J.: Socially assistive robots: The link between personality, empathy, physiological signals, and task performance. In: Emotion, Personality, and Social Behavior, pp. 133–140. AAAI (2008)

    Google Scholar 

  28. von der Pütten, A.M., Krämer, N.C., Gratch, J.: How our personality shapes our interactions with virtual characters - implications for research and development. In: Safonova, A. (ed.) IVA 2010. LNCS, vol. 6356, pp. 208–221. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  29. Vacharkulksemsuk, T.B., Fredrickson, L.: Strangers in sync: Achieving embodied rapport through shared movements. Journal of Experimental Social Psychology 48(1), 399–402 (2012)

    Article  Google Scholar 

  30. Vijayasenan, D., Valente, F., Bourlard, H.: An Information Theoretic Combination of MFCC and TDOA Features for Speaker Diarization. IEEE Transactions on Audio Speech and Language Processing 19(2) (2011)

    Google Scholar 

  31. Waldron, J.: Judgement of like-dislike from facial expression and body posture. Perceptual and Motor Skills 41(3), 799–804 (1975)

    Article  Google Scholar 

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Cerekovic, A., Aran, O., Gatica-Perez, D. (2014). How Do You Like Your Virtual Agent?: Human-Agent Interaction Experience through Nonverbal Features and Personality Traits. In: Park, H.S., Salah, A.A., Lee, Y.J., Morency, LP., Sheikh, Y., Cucchiara, R. (eds) Human Behavior Understanding. HBU 2014. Lecture Notes in Computer Science, vol 8749. Springer, Cham. https://doi.org/10.1007/978-3-319-11839-0_1

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  • DOI: https://doi.org/10.1007/978-3-319-11839-0_1

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11838-3

  • Online ISBN: 978-3-319-11839-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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