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Showing 1–11 of 11 results
Advanced filters: Author: Ian Krajbich Clear advanced filters

  • Simple choices are biased by looking behaviour. This work investigates individual differences in this gaze bias across four datasets and shows that gaze biases are variable and that their strength reliably predicts differences in individuals’ choices.

    • Armin W. Thomas
    • Felix Molter
    • Peter N. C. Mohr
    Research
    Nature Human Behaviour
    Volume: 3, P: 625-635

  • Learning occurs when previously rewarded actions are reinforced or when predictions are made about future consequences. Here Konovalov and Krajbich show that people who learn through reinforcement treat decisions as a comparison while those who learn by making predictions make their choices before deciding.

    • Arkady Konovalov
    • Ian Krajbich
    ResearchOpen Access
    Nature Communications
    Volume: 7, P: 1-11

  • In cognitive neuroscience, it is common practice to use reaction time data to infer whether decisions are intuitive or deliberate. Here the authors demonstrate that they can replicate, eliminate and reverse previously reported correlations between selfishness and reaction time.

    • Ian Krajbich
    • Björn Bartling
    • Ernst Fehr
    ResearchOpen Access
    Nature Communications
    Volume: 6, P: 1-9

  • It has been proposed that humans make unselfish decisions if constrained to decide quickly, but other research has suggested that time constraint makes us selfish. Here, the authors reconcile these two views showing that pro-social people become more pro-social under time pressure, but selfish subjects do the opposite.

    • Fadong Chen
    • Ian Krajbich
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-10

  • People have different latencies in processing amount and time attributes when making intertemporal choices. Here, the authors test the causal effect of these latencies on choice by altering the onset of amount and time information, which alters people’s patience.

    • Fadong Chen
    • Jiehui Zheng
    • Ian Krajbich
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-10

  • Using a deep neural network, Frey et al. are able to track participants’ eye movements using functional magnetic resonance imaging of the eyes. This technique can be applied across studies to new and old data alike, allowing retrospective analyses of past studies.

    • Ian Krajbich
    News & Views
    Nature Neuroscience
    Volume: 24, P: 1641-1642

  • To choose between two options, we often look repeatedly back and forth between them, presumably as a way of comparing their values. Here the authors propose a computational model of value-based decision making that can explain the relationship between fixation patterns and choices.

    • Ian Krajbich
    • Carrie Armel
    • Antonio Rangel
    Research
    Nature Neuroscience
    Volume: 13, P: 1292-1298