Facial actions as visual cues for personality

What visual cues do human viewers use to assign personality characteristics to animated characters? While most facial animation systems associate facial actions to limited emotional states or speech content, the present paper explores the above question by relating the perception of personality to a wide variety of facial actions (e.g., head tilting/turning, and eyebrow raising) and emotional expressions (e.g., smiles and frowns). Animated characters exhibiting these actions and expressions were presented to human viewers in brief videos. Human viewers rated the personalities of these characters using a well‐standardized adjective rating system borrowed from the psychological literature. These personality descriptors are organized in a multidimensional space that is based on the orthogonal dimensions of desire for affiliation and displays of social dominance. The main result of the personality rating data was that human viewers associated individual facial actions and emotional expressions with specific personality characteristics very reliably. In particular, dynamic facial actions such as head tilting and gaze aversion tended to spread ratings along the dominance dimension, whereas facial expressions of contempt and smiling tended to spread ratings along the affiliation dimension. Furthermore, increasing the frequency and intensity of the head actions increased the perceived social dominance of the characters. We interpret these results as pointing to a reliable link between animated facial actions/expressions and the personality attributions they evoke in human viewers. The paper shows how these findings are used in our facial animation system to create perceptually valid personality profiles based on dominance and affiliation as two parameters that control the facial actions of autonomous animated characters. Copyright © 2006 John Wiley & Sons, Ltd.

[1]  Barbara Hayes-Roth,et al.  Interacting with Personality-Rich Characters , 2004 .

[2]  N. Ambady,et al.  The effects of fear and anger facial expressions on approach- and avoidance-related behaviors. , 2005, Emotion.

[3]  Franco Casalino,et al.  MPEG-4: A Multimedia Standard for the Third Millennium, Part 1 , 1999, IEEE Multim..

[4]  Steve DiPaola,et al.  Socially Communicative Characters for Interactive Applications , 2006 .

[5]  P. Ekman Emotions revealed , 2004, BMJ.

[6]  Norman I. Badler,et al.  Representing and parameterizing agent behaviors , 2002, Proceedings of Computer Animation 2002 (CA 2002).

[7]  Joseph Bates,et al.  Virtual Reality, Art, and Entertainment , 1992, Presence: Teleoperators & Virtual Environments.

[8]  Igor S. Pandžić,et al.  Autonomous Speaker Agent , 2004 .

[9]  Mark Steedman,et al.  Animated conversation: rule-based generation of facial expression, gesture & spoken intonation for multiple conversational agents , 1994, SIGGRAPH.

[10]  D. Berry Accuracy in social perception: contributions of facial and vocal information. , 1991, Journal of personality and social psychology.

[11]  Brendan McCane,et al.  Language-driven nonverbal communication in a bilingual conversational agent , 2003, Proceedings 11th IEEE International Workshop on Program Comprehension.

[12]  Zhigang Deng,et al.  Natural head motion synthesis driven by acoustic prosodic features , 2005, Comput. Animat. Virtual Worlds.

[13]  P. Petta,et al.  Creating Personalities for Synthetic Actors: Towards Autonomous Personality Agents , 1997 .

[14]  P. Borkenau,et al.  Thin slices of behavior as cues of personality and intelligence. , 2004, Journal of personality and social psychology.

[15]  R. Kleck,et al.  Effects of direct and averted gaze on the perception of facially communicated emotion. , 2005, Emotion.

[16]  P. Borkenau,et al.  Trait inferences: Sources of validity at zero acquaintance. , 1992 .

[17]  L. R. Goldberg,et al.  Integration of the big five and circumplex approaches to trait structure. , 1992, Journal of personality and social psychology.

[18]  D. Gilbert,et al.  The correspondence bias. , 1995, Psychological bulletin.

[19]  Howard Rheingold,et al.  Virtual Reality , 1991 .

[20]  Joseph Bates,et al.  The role of emotion in believable agents , 1994, CACM.

[21]  Catherine Pelachaud,et al.  Computational Model of Believable Conversational Agents , 2003, Communication in Multiagent Systems.

[22]  J. S. Wiggins,et al.  Psychometric and Geometric Characteristics of the Revised Interpersonal Adjective Scales (IAS-R). , 1988, Multivariate behavioral research.

[23]  Joann M. Montepare,et al.  The Contribution of Emotion Perceptions and Their Overgeneralizations to Trait Impressions , 2003 .

[24]  W. S. Reilly,et al.  Natural Negotiation for Believable Agents , 1995 .

[25]  Justine Cassell,et al.  BEAT: the Behavior Expression Animation Toolkit , 2001, Life-like characters.

[26]  Joseph Bates,et al.  Personality-rich believable agents that use language , 1997, AGENTS '97.

[27]  Norman I. Badler,et al.  Towards Personalities for Animated Agents with Reactive and Planning Behaviors , 1997, Creating Personalities for Synthetic Actors.

[28]  Franco Casalino,et al.  MPEG-4: A Multimedia Standard for the Third Millennium, Part 2 , 2000, IEEE Multim..

[29]  Carl Machover,et al.  Virtual reality , 1994, IEEE Computer Graphics and Applications.

[30]  B. Knutson Facial expressions of emotion influence interpersonal trait inferences , 1996 .

[31]  Nadia Magnenat-Thalmann,et al.  A Model for Personality and Emotion Simulation , 2003, KES.

[32]  John Funge,et al.  Cognitive modeling: knowledge, reasoning and planning for intelligent characters , 1999, SIGGRAPH.

[33]  P. Costa,et al.  Toward a new generation of personality theories: Theoretical contexts for the five-factor model. , 1996 .

[34]  Sumedha Kshirsagar,et al.  A multilayer personality model , 2002, SMARTGRAPH '02.

[35]  D. Southern,et al.  Strangers ' Ratings of the Five Robust Personality Factors : Evidence of a Surprising Convergence With Self-Report , 2001 .

[36]  J. Russell A circumplex model of affect. , 1980 .