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SUMMARY:How smart does your profile image look? Estimating intelligence fr
 om social network profile images - Xingjie Wei\, The Psychometrics Centre\
 , University of Cambridge 
DTSTART:20161122T143000Z
DTEND:20161122T153000Z
UID:TALK69267@talks.cam.ac.uk
CONTACT:Xingjie Wei
DESCRIPTION:Profile images on social networks are users’ opportunity to 
 present themselves and to affect how others judge them. We examine what Fa
 cebook images say about users’ perceived and measured intelligence. 1\,1
 22 Facebook users completed a matrices intelligence test and shared their 
 current Facebook profile image. Strangers also rated the images for percei
 ved intelligence. We use automatically extracted image features to predict
  both measured and perceived intelligence. Intelligence estimation from im
 ages is a difficult task even for humans\, but experimental results show t
 hat human accuracy can be equalled using computing methods. We report the 
 image features that predict both measured and perceived intelligence\, and
  highlight misleading features such as “smiling” and “wearing glasse
 s” that are correlated with perceived but not measured intelligence. Our
  results give in- sights into inaccurate stereotyping from profile images 
 and also have implications for privacy\, especially since in most social n
 etworks profile images are public by default.
LOCATION:Lecture Theatre 3 (4th floor)\, Cambridge Judge Business School\,
  University of Cambridge
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