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Handsome or Nice?

Explaining the Automatic Prediction of
Speed-dates with Attitudinal Factors




15 mei 2012
Arnoud Andeweg
University of Amsterdam
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
BACKGROUND / RELATED WORK


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



• MatchMakeRS project
  • Variance in distance
  • Increase in distance
                             (Veenstra and Hung 2011)
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
METHOD




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


• 12 matches

• SRM:




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


• Regression:




• No mediation
CONCLUSIONS / IMPLICATIONS

Hypothesis: 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

• Hypothesis rejected
• Warmth and distance
• Gender differences
• Attitudinal factors predict
• The importance of looks
NEXT STEPS



• Warmth and distance

• Handsome robot

• Individual movement
Questions?




This presentation can be found at
www.slideshare.netverwegh
References

 Andersen, P., and Guerrero, L., 1998a. The bright side of relational
    communication: interpersonal warmth as a social Emotion. In: P.
    Andersen and L. Guerrero, eds. Handbook of Communication and
    Emotion. New York: Academic Press, 303-329.
   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.
 Cook, D., Augusto, J. and Jakkula, V., 2009. Ambient intelligence:
  Technologies, applications, and opportunities. Pervasive and Mobile
  Computing, 5 (4), 277–298.
 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.
   Richmond, V. and McCroskey, J., 1995. Immediacy, nonverbal behavior
    in interpersonal relations. Boston: Allyn & Bacon.
   Saucier, G., 1994. Mini-Markers: A brief version of Goldberg's unipolar
    big-five markers. Journal of Personality Assessment, 63 (3), 506-516.
   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.
ATTACHMENTS
ATTACHMENTS
ATTACHMENTS
ATTACHMENTS
ATTACHMENTS

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Master thesis presentation Arnoud Andeweg

  • 1. Handsome or Nice? Explaining the Automatic Prediction of Speed-dates with Attitudinal Factors 15 mei 2012 Arnoud Andeweg University of Amsterdam
  • 2. 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
  • 3. CONTENTS • Example • Background / related work • Method • Results • Conclusions / implications • Next steps • Questions
  • 5. 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
  • 6. BACKGROUND / RELATED WORK • Speed-date experiments • Useful real-life setting (Finkel et al. 2007) • MatchMakeRS project • Variance in distance • Increase in distance (Veenstra and Hung 2011)
  • 7. METHOD • 1 speed-date experiment • 2 possible results of a date • 8 males and 8 females • 64 dates (dyads) • 128 questionnaires
  • 9. METHOD • Results video analysis movement parameter • Questionnaires attitudinal factors • Outcome of the speed-dates
  • 10. METHOD SRM: Social Relations Model (Kenny et al. 2007)
  • 11. RESULTS • 12 matches • SRM: • Correlation: increase in distance and interpersonal warmth (males)
  • 13. CONCLUSIONS / IMPLICATIONS Hypothesis: 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 • Hypothesis rejected • Warmth and distance • Gender differences • Attitudinal factors predict • The importance of looks
  • 14. NEXT STEPS • Warmth and distance • Handsome robot • Individual movement
  • 15. Questions? This presentation can be found at www.slideshare.netverwegh
  • 16. References  Andersen, P., and Guerrero, L., 1998a. The bright side of relational communication: interpersonal warmth as a social Emotion. In: P. Andersen and L. Guerrero, eds. Handbook of Communication and Emotion. New York: Academic Press, 303-329.  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.
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  • 18. 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
  • 19. 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.
  • 20. 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.  Richmond, V. and McCroskey, J., 1995. Immediacy, nonverbal behavior in interpersonal relations. Boston: Allyn & Bacon.  Saucier, G., 1994. Mini-Markers: A brief version of Goldberg's unipolar big-five markers. Journal of Personality Assessment, 63 (3), 506-516.  Sprecher, S., 1998. Insiders' perspectives on reasons for attraction to a close other. Social Psychology Quarterly, 61 (4), 287-300.
  • 21. 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.