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Tracking historical changes in perceived trustworthiness in Western Europe using machine learning analyses of facial cues in paintings

Psychology

Tracking historical changes in perceived trustworthiness in Western Europe using machine learning analyses of facial cues in paintings

L. Safra, C. Chevallier, et al.

This intriguing study by Lou Safra, Coralie Chevallier, Julie Grèzes, and Nicolas Baumard delves into the historical rise of perceived trustworthiness in Western Europe from 1500 to 2000. By harnessing the power of machine learning to analyze facial expressions in historical portraits, the researchers reveal a fascinating upward trend in trustworthiness, suggesting a possible connection to improving living standards.

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Playback language: English
Abstract
This paper investigates the historical evolution of perceived trustworthiness in Western Europe from 1500 to 2000. Using machine learning to analyze facial cues in historical portraits from large online databases, the researchers developed an algorithm to estimate perceived trustworthiness from facial expressions. Results indicate a significant increase in perceived trustworthiness over time, potentially linked to rising living standards.
Publisher
NATURE COMMUNICATIONS
Published On
Sep 22, 2020
Authors
Lou Safra, Coralie Chevallier, Julie Grèzes, Nicolas Baumard
Tags
trustworthiness
facial cues
historical portraits
machine learning
Western Europe
living standards
evolution

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