15 mei 2012Arnoud AndewegUniversity of Amsterdam

Handsome or Nice?

Explaining the Automatic Prediction of Speed-dates with Attitudinal Factors

Attitudinal factors, interpersonal warmth and physical attractiveness, found in interpersonal attraction research can be used to explain the physical movement parameters that predict the outcome of a speed-date

CONTENTS

• Example• Background / related work• Method• Results• Conclusions / implications• Next steps• Questions

EXAMPLE

BACKGROUND / RELATED WORK

• Human awareness & social signal processing:• Meeting mediator (Kim et al. 2008)

• Personality aware video surveillance (Zen et al. 2010)

• Interpersonal attraction Reciprocity Similarity

Security Physical attraction

Interpersonal warmth

• Speed-date experiments• Useful real-life setting (Finkel et al. 2007)

• MatchMakeRS project• Variance in distance• Increase in distance

(Veenstra and Hung 2011)

BACKGROUND / RELATED WORK

METHOD

• 1 speed-date experiment

• 2 possible results of a date

• 8 males and 8 females

• 64 dates (dyads)

• 128 questionnaires

METHOD

METHOD

• Results video analysis movement parameter

• Questionnaires attitudinal factors

• Outcome of the speed-dates

SRM: Social Relations Model (Kenny et al. 2007)

METHOD

RESULTS

• 12 matches

• SRM:

• Correlation: increase in distance and interpersonal warmth (males)

RESULTS

• Regression:

• No mediation

CONCLUSIONS / IMPLICATIONS

• Hypothesis rejected

• Warmth and distance

• Gender differences

• Attitudinal factors predict

• The importance of looks

Attitudinal factors, interpersonal warmth and physical attractiveness, found in interpersonal attraction research can be used to explain the physical movement parameters that predict the outcome of a speed-date

NEXT STEPS

• Warmth and distance

• Handsome robot

• Increase in distance by…

Questions?

This presentation can be found atwww.slideshare.net\verwegh

ATTACHMENTS

ATTACHMENTS

ATTACHMENTS

bijlages

ATTACHMENTS

References

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Argyle, M., 1988. Bodily Communication. New York: Methuen & Co. Ltd Baron, R.M. and Kenny, D.A., 1986. The moderator–mediator variable distinction

in social psychological research: conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51 (6), 1173–1182.

Berscheid, E. and Walster, E., 1974. Physical Attractiveness, In: L. Berkowitz, ed, Advances in Experimental Social Psychology. New York: Academic Press, 157-215.

Berscheid, E., and Walster, E., 1978. Interpersonal attraction. 2nd ed. Boston: Addison-Wesley.

References

Bickmore, T.W., 2003. Relational agents: effecting change through human-computer relationships. Thesis (PhD). MIT.

Bosse, T., Hoogendoorn, M., Klein, M.C.A., van Lambalgen, R., van Maanen, P.P. and Treur, J., 2011. Incorporating human aspects in ambient intelligence and smart environments. In: F. Mastrogiovanni and N.Y. Chong, eds. Handbook of research on ambient intelligence and smart environments: trends and perspectives. Hershey: IGI Global, 128-164.

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Dautenhahn , K., 2007. Methodology and themes of human-robot interaction: a growing research field. International Journal of Advanced Robotic Systems, 4 (1), 103-108.

References

Dourish, H., 2001. Seeking a foundation for context-aware computing. Human-Computer Interaction, 16 (2-4), 229-241

Finkel, E.J., Eastwick, P.W. and Matthews, J., 2007. Speed-dating as an invaluable tool for studying romantic attraction: A methodological primer. Personal Relationships 14 (1), 149-166.

Grammer, K., Honda, M., Juette, A. and Schmitt, A., 1999. Fuzziness of nonverbal courtship communication unblurred by motion energy detection. Journal of personality and social psychology, 77(3), 487–508.

Gunes, H. and Piccardi, M., 2006. Assessing facial beauty through proportion analysis by image processing and supervised learning. International Journal of Human-Computer Studies, 64 (12), 1184-1199.

Heslin, R. and Patterson, M., 1982. Nonverbal behavior and social psychology. New York: Plenum Press

References

Hönekopp, J., 2006. Once more: Is beauty in the eye of the beholder? Relative contributions of private and shared taste to judgments of facial attractiveness. Journal of Experimental Psychology: Human Perception and Performance, 32 (2), 199-209.

Kenny, D.A., Kashy, D.A. and Cook, W.L., 2006. Dyadic Data Analysis. New York: Guilford Press.

Kim, T., Chang, A., Holland, L. and Pentland, A.S., 2008. Meeting mediator: enhancing group collaborationusing sociometric feedback. In: Proceedings of the 2008 ACM conference on Computer supported cooperative work, 8-12 November 2008 San Diego. New York: ACM, 457-466.

Kleck R.E. and Rubenstein, C., 1975. Physical attractiveness, perceived attitude similarity, and interpersonal attraction in an opposite-sex encounter. Journal of Personality and Social Psychology, 31(1), 107-114.

References

Langlois, J. H., Kalakanis, L., Rubenstein, A. J., Larson, A., Hallam, M., and Smott, M., 2000. Maxims or myths of beauty? A meta-analytic and theoretical review. Psychological Bulletin. 126 (3) 390-423.

Luo, S. and Zhang, G., 2009. What leads to romantic attraction: Similarity, reciprocity, security, or beauty? Evidence from a speed-dating study. Journal of personality, 77 (4), 933-964.

McCroskey, J.C. and McCain, T.A., 1974. The measurement of interpersonal attraction. Communication Monographs, 41 (3), 261-266.

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Sprecher, S., 1998. Insiders' perspectives on reasons for attraction to a close other. Social Psychology Quarterly, 61 (4), 287-300.

References

Veenstra, A, and Hung,H., 2011. Do they like me? Using video cues to predict desires during speed-dates. In: IEEE International Conference on Computer Vision Workshops, 9-13 November 2011 Barcelona. New York: IEEE, 838-845.

Vinciarelli, A., Pantic, M. and Bourlard H., 2009. Social signal processing: Survey of an emerging domain. Image and Vision Computing, 27 (12) 1743-1759.

Zen, G., Lepri, B., Ricci, E. and Lanz, O., 2010. Space speaks: towards socially and personality aware visual surveillance. In: Proceedings of the 1st ACM international workshop on multimodal pervasive video analysis, 25-20 October 2010 Firenze. New York: ACM, 37–42.