Visualizing Apparent Personality Analysis with Deep Residual Networks - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2017

Visualizing Apparent Personality Analysis with Deep Residual Networks

Résumé

Automatic prediction of personality traits is a subjective task that has recently received much attention. Specifically, automatic apparent personality trait prediction from mul-timodal data has emerged as a hot topic within the filed of computer vision and, more particularly, the so called " looking at people " sub-field. Considering " apparent " personality traits as opposed to real ones considerably reduces the subjectivity of the task. The real world applications are encountered in a wide range of domains, including entertainment , health, human computer interaction, recruitment and security. Predictive models of personality traits are useful for individuals in many scenarios (e.g., preparing for job interviews, preparing for public speaking). However, these predictions in and of themselves might be deemed to be untrustworthy without human understandable supportive evidence. Through a series of experiments on a recently released benchmark dataset for automatic apparent personality trait prediction, this paper characterizes the audio and visual information that is used by a state-of-the-art model while making its predictions, so as to provide such supportive evidence by explaining predictions made. Additionally, the paper describes a new web application, which gives feedback on apparent personality traits of its users by combining model predictions with their explanations.
Fichier principal
Vignette du fichier
apparent_personality.pdf (15.31 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01677962 , version 1 (08-01-2018)

Identifiants

  • HAL Id : hal-01677962 , version 1

Citer

Yağmur Güçlütürk, Umut Güçlü, Marc Perez, Hugo Jair Escalante Balderas, Xavier Baró, et al.. Visualizing Apparent Personality Analysis with Deep Residual Networks. International Conference on Computer Vision - ICCV 2017, Oct 2017, Venice, Italy. ⟨hal-01677962⟩
712 Consultations
394 Téléchargements

Partager

Gmail Facebook X LinkedIn More