Peter Ayton
University of Leeds
102 Papers
485 Citations
Peter Ayton is an academic researcher from University of Leeds. The author has contributed to research in topics: Investment decisions & Randomness. The author has an hindex of 25, co-authored 100 publications. Previous affiliations of Peter Ayton include Analysis Group & Universities UK.
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Papers
The sunk cost and Concorde effects: Are humans less rational than lower animals?
Hal R. Arkes,Peter Ayton +1 more
TL;DR: Arkes and Blumer as discussed by the authors argued that adults commit an error contrary to the normative cost-benefit rules of choice, whereas children and phylogenetically humble organisms do not, and argued that this paradoxical state of affairs is due to humans' overgeneralization of the "Don't waste" rule.
The hot hand fallacy and the gambler's fallacy: two faces of subjective randomness?
Peter Ayton,Ilan Fischer +1 more
TL;DR: Alternative accounts for the hot hand fallacy and the gambler’s fallacy are proposed and it is demonstrated that sequence recency influences attributions that human performance or chance generated the sequence.
Adaptation to imprisonment - Indigenous or imported?
TL;DR: Time spent in prison had a direct effect on prisoners' participation in programs, their thoughts of needing control over their lives, their feelings of hopelessness, and their disciplinary infractions in prison.
Effects of incorrect computer-aided detection (CAD) output on human decision-making in mammography.
TL;DR: Possible automation bias effects in CAD use deserve further study because they may degrade human decision-making for some categories of cases under certain conditions and should be taken into account in the assessment and design of CAD tools.
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Affective forecasting: Why can't people predict their emotions?
TL;DR: This article found that test failers overestimated the duration of their disappointment, suggesting that learning about one's own emotions is difficult, and that undue focus on the differences between present and future biases affective forecasts.
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