Featured Research

from universities, journals, and other organizations

Computers will be able to tell social traits from human faces, researchers predict

Date:
August 18, 2011
Source:
Public Library of Science
Summary:
Researchers have developed new computational tools that help computers determine whether faces fall into categories like attractive or threatening, according to a recent paper.

Researchers have developed new computational tools that help computers determine whether faces fall into categories like attractive or threatening, according to a recent paper published in the journal PLoS ONE. Mario Rojas and other researchers at the Computer Vision Center in the Autonomous University of Barcelona in Spain, in cooperation with researchers from the Department of Psychology of Princeton University, developed software that is able to predict those traits in some cases with accuracies beyond 90%.

Facial characteristics play a central role in our everyday assessments of other people. "The perception of dominance has been shown to be an important part of social roles at different stages of life, and to play a role in mate selection," said Mr. Rojas. If the information on which the evaluation of faces is based could be automatically learned, it could be modeled and used as a tool for designing better interactive systems.

The team studied to what extent this information is learnable from the point of view of computer science. Specifically, the task was formulated with the intention of predicting 9 facial trait judgments (attractive, competent, trustworthy, dominant, mean, frightening, extroverted, threatening, and likable) using Machine learning techniques (a branch of artificial intelligence that uses examples to teach a program how to work).

The team trained and tested their algorithm on a set of synthetic facial images generated in a previous study. In that work, people were asked to describe and rate a set of facial images, and these results were used to generate synthetic facial images, each associated with specific traits, such as trustworthiness or dominance.

In the current study, the researchers used a subset of these images, together with their labels, to "teach" the computer how to read a face, and tested the prediction accuracy using the rest of the images. Three traits, dominant, threatening and mean, were found to be predictable with accuracies between 91% and 96%. Additionally the study aimed to find what information is computationally useful for the prediction task. For example, they found that the area around the eyes contains more information about attractiveness, while the area around the mouth is more informative about extroversion.

The researchers also challenged their program's predictive ability against the faces of a number of celebrities; they found that their results are highly consistent with our general ideas about these public figures.


Story Source:

The above story is based on materials provided by Public Library of Science. Note: Materials may be edited for content and length.


Journal Reference:

  1. Mario Rojas Q., David Masip, Alexander Todorov, Jordi Vitria. Automatic Prediction of Facial Trait Judgments: Appearance vs. Structural Models. PLoS ONE, 2011; 6 (8): e23323 DOI: 10.1371/journal.pone.0023323

Cite This Page:

Public Library of Science. "Computers will be able to tell social traits from human faces, researchers predict." ScienceDaily. ScienceDaily, 18 August 2011. <www.sciencedaily.com/releases/2011/08/110817175918.htm>.
Public Library of Science. (2011, August 18). Computers will be able to tell social traits from human faces, researchers predict. ScienceDaily. Retrieved September 17, 2014 from www.sciencedaily.com/releases/2011/08/110817175918.htm
Public Library of Science. "Computers will be able to tell social traits from human faces, researchers predict." ScienceDaily. www.sciencedaily.com/releases/2011/08/110817175918.htm (accessed September 17, 2014).

Share This



More Mind & Brain News

Wednesday, September 17, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

Corporal Punishment on Decline, Debate Renews

Corporal Punishment on Decline, Debate Renews

AP (Sep. 16, 2014) Corporal punishment in the United States is on the decline, but there is renewed debate over its use after Minnesota Vikings running back Adrian Peterson was charged with child abuse. (Sept. 16) Video provided by AP
Powered by NewsLook.com
FDA Eyes Skin Shocks Used at Mass. School

FDA Eyes Skin Shocks Used at Mass. School

AP (Sep. 15, 2014) The FDA is considering whether to ban devices used by the Judge Rotenberg Educational Center in Canton, Massachusetts, the only place in the country known to use electrical skin shocks as aversive conditioning for aggressive patients. (Sept. 15) Video provided by AP
Powered by NewsLook.com
Shocker: Journalists Are Utterly Addicted To Coffee

Shocker: Journalists Are Utterly Addicted To Coffee

Newsy (Sep. 13, 2014) A U.K. survey found that journalists consumed the most amount of coffee, but that's only the tip of the coffee-related statistics iceberg. Video provided by Newsy
Powered by NewsLook.com
'Magic Mushrooms' Could Help Smokers Quit

'Magic Mushrooms' Could Help Smokers Quit

Newsy (Sep. 11, 2014) In a small study, researchers found that the majority of long-time smokers quit after taking psilocybin pills and undergoing therapy sessions. Video provided by Newsy
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:

Breaking News:
from the past week

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

    Technology News



    Save/Print:
    Share:

    Free Subscriptions


    Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

    Get Social & Mobile


    Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

    Have Feedback?


    Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
    Mobile: iPhone Android Web
    Follow: Facebook Twitter Google+
    Subscribe: RSS Feeds Email Newsletters
    Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins