Face-Based Automatic Personality Perception

被引：21

作者：

Al Moubayed, Noura ^{[1
]}

Vazquez-Alvarez, Yolanda ^{[1
]}

Mckay, Alex ^{[1
]}

Vinciarelli, Alessandro ^{[1
]}

机构：

[1] Univ Glasgow, Sch Comp Sci, Sir A Williams Bldg, Glasgow G12 8QQ, Lanark, Scotland

来源：

PROCEEDINGS OF THE 2014 ACM CONFERENCE ON MULTIMEDIA (MM'14) | 2014年

关键词：

Automatic Personality Perception; Eigenfaces; Big-Five;

D O I：

10.1145/2647868.2655014

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Automatic Personality Perception is the task of automatically predicting the personality traits people attribute to others. This work presents experiments where such a task is performed by mapping facial appearance into the BigFive personality traits, namely Openness, Conscientiousness, Extraversion, Agreeableness and Neuroticism. The experiments are performed over the pictures of the FERET corpus, originally collected for biometrics purposes, for a total of 829 individuals. The results show that it is possible to automatically predict whether a person is perceived to be above or below median with an accuracy close to 70 percent (depending on the trait).

引用

页码：1153 / 1156

页数：4

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