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Nova · Professor Researcher · re-ranking top 20…
Jane Taylor

Jane Taylor

Verified

Yale University · Department of Psychology

Active 1954–2024

h-index90
Citations28.7k
Papers33352 last 5y
Funding$99.8M3 active
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Research topics

  • Computer Science
  • Cognitive psychology
  • Artificial Intelligence
  • Social psychology
  • Psychology
  • Psychiatry
  • Medicine
  • Economics
  • Environmental health

Selected publications

  • Paranoia and belief updating during the COVID-19 crisis

    Nature Human Behaviour · 2021 · 127 citations

    • Psychology
    • Social psychology
    • Cognitive psychology

    The COVID-19 pandemic has made the world seem less predictable. Such crises can lead people to feel that others are a threat. Here, we show that the initial phase of the pandemic in 2020 increased individuals' paranoia and made their belief updating more erratic. A proactive lockdown made people's belief updating less capricious. However, state-mandated mask-wearing increased paranoia and induced more erratic behaviour. This was most evident in states where adherence to mask-wearing rules was poor but where rule following is typically more common. Computational analyses of participant behaviour suggested that people with higher paranoia expected the task to be more unstable. People who were more paranoid endorsed conspiracies about mask-wearing and potential vaccines and the QAnon conspiracy theories. These beliefs were associated with erratic task behaviour and changed priors. Taken together, we found that real-world uncertainty increases paranoia and influences laboratory task behaviour.

  • Paranoia as a deficit in non-social belief updating

    eLife · 2020 · 133 citations

    • Computer Science
    • Artificial Intelligence
    • Psychology

    Paranoia is the belief that harm is intended by others. It may arise from selective pressures to infer and avoid social threats, particularly in ambiguous or changing circumstances. We propose that uncertainty may be sufficient to elicit learning differences in paranoid individuals, without social threat. We used reversal learning behavior and computational modeling to estimate belief updating across individuals with and without mental illness, online participants, and rats chronically exposed to methamphetamine, an elicitor of paranoia in humans. Paranoia is associated with a stronger prior on volatility, accompanied by elevated sensitivity to perceived changes in the task environment. Methamphetamine exposure in rats recapitulates this impaired uncertainty-driven belief updating and rigid anticipation of a volatile environment. Our work provides evidence of fundamental, domain-general learning differences in paranoid individuals. This paradigm enables further assessment of the interplay between uncertainty and belief-updating across individuals and species.

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