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Code and data for ongoing experiments in the use of deep neural network models to predict human affect.

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Affect Ex Machina

Figure 1 from 'Perceptual Primacy of Feeling'

Experiments in the use of deep neural network models to predict human affect and aesthetics, including source code and data for the paper:

The perceptual primacy of feeling: Affectless visual machines explain a majority of variance in human visually evoked affect (PNAS, 2025)

Citation

@article{conwell2025perceptual,
  title={The perceptual primacy of feeling: Affectless visual machines explain a majority of variance in human visually evoked affect},
  author={Conwell, Colin and Graham, Daniel and Boccagno, Chelsea and Vessel, Edward A},
  journal={Proceedings of the National Academy of Sciences},
  volume={122},
  number={4},
  pages={e2306025121},
  year={2025},
  publisher={National Academy of Sciences} 
}

The psyarxiv preprint version(s) of the paper are available at this link.

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Code and data for ongoing experiments in the use of deep neural network models to predict human affect.

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