Publication
A Software for Identifying the Facial Features Driving the Perception of Personality Traits
Anke Hirsch; Fabrizio Nunnari; Alexis Heloir
In: 4th Workshop on Virtual Social Interaction. Workshop on Virtual Social Interaction (VSI), 4th, December 17-18, London, United Kingdom, 12/2018.
Abstract
The appearance of a person influences the perception of his personality. People use static as well as dynamic cues to assess others. The clothes, facial expression, and posture of a person influence the viewer's perception of its personality; and the same applies to a virtual character.
In this context, it would be helpful for a designer to have the tools to shape a virtual character so that its physical aspect conveys the intended personality traits to the observer.
In order to run this category of experiments, our research units are building a new open-source platform called DeEvA (https://github.com/fnunnari/deeva/).
To test and validate the platform, we recently conducted an experiment to detect which facial features of a virtual character drive the perception of the personality composed of five psychological constructs: dominance, trustworthiness, agreeableness, attractiveness, and narcissism.
For each of the five traits separately, we ran a multivariate logit regression with the purpose to find the best predictors of a trait score from the values of the physical attributes.