Hi, I'm Jesse!
Doctoral Candidate at the University of California, Davis
Understanding the Effect of Animated Gesture Performance on Personality Perceptions
Applications such as virtual tutors, games, and natural interfaces increasingly require animated characters to take on social roles while interacting with humans. The effectiveness of these applications depends on our ability to control the social presence of characters, including their personality. Understanding how movement impacts the perception of personality allows us to generate characters more capable of fulfilling this social role. The two studies described herein focus on gesture as a key component of social communication and examine how a set of gesture edits, similar to the types of changes that occur during motion warping, impact the perceived personality of the character. Surprisingly, when based on thin-slice gesture data, people’s judgments of character personality mainly fall in a 2D subspace rather than independently impacting the full set of traits in the standard Big Five model of personality. These two dimensions are plasticity, which includes extraversion and openness, and stability, which includes emotional stability, agreeableness, and conscientiousness. A set of motion properties is experimentally determined that impacts each of these two traits. We show that when these properties are systematically edited in new gesture sequences, we can independently influence the character’s perceived stability and plasticity (and the corresponding Big Five traits), to generate distinctive personalities. We identify motion adjustments salient to each judgment and, in a series of perceptual studies, repeatedly generate four distinctly perceived personalities. The effects extend to novel gesture sequences and character meshes, and even largely persist in the presence of accompanying speech. This paper furthers our understanding of how gesture can be used to control the perception of personality and suggests both the potential and possible limits of motion editing approaches.
Paper
LinkSupplemental Video
LinkPresentation SIGGRAPH 2017
LinkBibtex
@article{ Smith:2017:UIA:3072959.3073697, author = {Smith, Harrison Jesse and Neff, Michael}, title = {Understanding the Impact of Animated Gesture Performance on Personality Perceptions}, journal = {ACM Trans. Graph.}, issue_date = {July 2017}, volume = {36}, number = {4}, month = jul, year = {2017}, issn = {0730-0301}, pages = {49:1--49:12}, articleno = {49}, numpages = {12}, url = {http://doi.acm.org/10.1145/3072959.3073697}, doi = {10.1145/3072959.3073697}, acmid = {3073697}, publisher = {ACM}, address = {New York, NY, USA}, keywords = {OCEAN personality, crowdsourcing, gesture performance, perceptual study}, }
Acknowledgements
This material is based upon work supported by the National Science Foundation under Grant Nos. IIS 1115872 and IIS 1320029. We gratefully acknowledge their support. We would like to thank the anonymous reviewers for their thoughtful input, our performers, and our study participants. This work benefited greatly from many useful discussions with Marilyn Walker, Jean E. Fox Tree and Simine Vazire