The researchers used software called MouseTracker that was developed by the study’s senior author, Jon Freeman, an assistant professor of psychological and brain sciences and director of the Social Cognitive and Neural Sciences Lab.
According to the study, whether “a female politician was going to win or lose an election could be predicted within just 380 milliseconds after participants were exposed to her face,” the Post reports.
Also, writes the Post, “the more conservative the participant’s ideological leanings, the more likely they were to prefer a woman candidate with very traditional feminine features.”
Read the full story, published 5/15/14 by The Washington Post.