arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1606.09264cs.CVcs.MMcs.SI
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How smart does your profile image look? Estimating intelligence from social network profile images

University of Cambridge(剑桥大学);University of Bath(巴斯大学)

Xingjie Wei, David Stillwell

英文摘要:

Profile images on social networks are users' opportunity to present themselves and to affect how others judge them. We examine what Facebook images say about users' perceived and measured intelligence. 1,122 Facebook users completed a matrices intelligence test and shared their current Facebook profile image. Strangers also rated the images for perceived intelligence. We use automatically extracted image features to predict both measured and perceived intelligence. Intelligence estimation from images is a difficult task even for humans, but experimental results show that 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 glasses" that are correlated with perceived but not measured intelligence. Our results give insights into inaccurate stereotyping from profile images and also have implications for privacy, especially since in most social networks profile images are public by default.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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