Making trait judgments based on biological motion cues: A thinslicing approach

Dong Seon Chang, Heinrich H. Bülthoff, Stephan De La Rosa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We wanted to investigate whether judgments of personality traits based on brief visual observations, namely the 'thin slicing' approach, can also be replicated with biological motion cues consisting of point-light stimuli when different sorts of natural human actions were carried out. We captured six different actions carried out by ten different people using a motion capture system. These actions were then judged in terms of various personal traits by 18 different raters. All actors who recorded those actions were also included as raters. The results showed significant consistency in both the ratings across different raters (inter-rater-reliability) and the ratings between the items (inter-item-reliability). Moreover, accuracy of judgments was also found with self-ratings showing a significant correlation with other people's ratings for a number of different trait judgments.

Original languageEnglish
Title of host publicationProceedings - SAP 2013
Subtitle of host publicationACM Symposium on Applied Perception
Number of pages1
DOIs
Publication statusPublished - 2013
Event2013 ACM Symposium on Applied Perception, SAP 2013 - Dublin, Ireland
Duration: 2013 Aug 222013 Aug 23

Publication series

NameProceedings - SAP 2013: ACM Symposium on Applied Perception

Other

Other2013 ACM Symposium on Applied Perception, SAP 2013
CountryIreland
CityDublin
Period13/8/2213/8/23

Keywords

  • action perception
  • biological motion
  • motion capture
  • personality
  • point-light stimuli
  • thin slicing
  • trait judgments

ASJC Scopus subject areas

  • Software

Cite this

Chang, D. S., Bülthoff, H. H., & De La Rosa, S. (2013). Making trait judgments based on biological motion cues: A thinslicing approach. In Proceedings - SAP 2013: ACM Symposium on Applied Perception (Proceedings - SAP 2013: ACM Symposium on Applied Perception). https://doi.org/10.1145/2492494.2501885