Philosophy of Attention:
Additional readings & materials
Session 7:
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Moral Machine (participate in a trolley dilemma online experiment)
Studies on moral pop-out and binocular rivalry:
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Anderson et al (2011). "The visual impact of gossip"
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Gantman & Van Bavel (2014). "The moral pop-out effect"
Studies on eye-tracking and moral dilemmas:
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Decety, J., et al (2012). "The contribution of emotion and cognition to moral sensitivity"
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Garon et al (2018). "Visual encoding of social cues predicts sociomoral reasoning"
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Garon et al (2018). "Visual encoding of social cues contributes to moral reasoning in Autism Spectrum Disorder"
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Kastner, R. (2011). "Moral judgments and visual attention"
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Skulmowski, A., et al (2014). "Forced-choice decision-making in modified trolley dilemma situations"
Studies on cheating and generosity:
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Hochman et al (2016). "Biased processing and increased arousal in dishonest responses."
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Rahal et al (2020). "Prosocial preferences condition decision effort and ingroup biased generosity in intergroup decision-making"
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Teoh et al (2020). "Attentional priorities drive effects of time pressure on altruistic choice"
Session 4:
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Project Implicit (detect your own unconscious biases)
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Siegel, S. (2017). The Rationality of Perception.
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Sripada, C. (2018). "An exploration/exploitation trade-off between mind- wandering and goal-directed thinking."
Sessions 1-3:
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Mole, C. & Henry, A. (2017), “What is attention? Adverbialist theories”
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Reynolds, J.H. & Heeger, D.J. (2009). “The normalization model of attention.”
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Watzl, S. (2011), “Attention as structuring the stream of consciousness”
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Wu, W. (2011). “Attention as selection for action”
Warm-up readings:
Why should you care about attention?
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Sebastian Watzl, “Who needs a theory of attention?”
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Clinton Castro & Adam Pham, “Is the economy of attention noxious?”
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C. O. Evans, “Free will and attention”
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Dan Goleman, “Attention regulates emotion: Focus and self control”
The philosophical landscape:
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Attention (Stanford Encyclopedia of Philosophy entry)
The science of attention:
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Grace W. Lindsay, “Attention in psychology, neuroscience and machine learning.”
