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Healthful choices depend on the latency and rate of information accumulation

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  • Nicolette J. Sullivan

    (London School of Economics)

  • Scott A. Huettel

    (Duke University)

Abstract

The drift diffusion model provides a parsimonious explanation of decisions across neurobiological, psychological and behavioural levels of analysis. Although most drift diffusion model implementations assume that only a single value guides decisions, choices often involve multiple attributes that could make separable contributions to choice. Here we fit incentive-compatible dietary choices to a multi-attribute, time-dependent drift diffusion model, in which taste and health could differentially influence the evidence accumulation process. We find that these attributes shaped both the relative value signal and the latency of evidence accumulation in a manner consistent with participants’ idiosyncratic preferences. Moreover, by using a dietary prime, we showed how a healthy choice intervention alters multi-attribute, time-dependent drift diffusion model parameters that in turn predict prime-dependent choices. Our results reveal that different decision attributes make separable contributions to the strength and timing of evidence accumulation, providing new insights into the construction of interventions to alter the processes of choice.

Suggested Citation

  • Nicolette J. Sullivan & Scott A. Huettel, 2021. "Healthful choices depend on the latency and rate of information accumulation," Nature Human Behaviour, Nature, vol. 5(12), pages 1698-1706, December.
  • Handle: RePEc:nat:nathum:v:5:y:2021:i:12:d:10.1038_s41562-021-01154-0
    DOI: 10.1038/s41562-021-01154-0
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    Cited by:

    1. Iraj Khalid & Belina Rodrigues & Hippolyte Dreyfus & Solène Frileux & Karin Meissner & Philippe Fossati & Todd Anthony Hare & Liane Schmidt, 2024. "Mapping expectancy-based appetitive placebo effects onto the brain in women," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    2. Geoffrey Fisher, 2023. "Measuring the Factors Influencing Purchasing Decisions: Evidence From Cursor Tracking and Cognitive Modeling," Management Science, INFORMS, vol. 69(8), pages 4558-4578, August.
    3. Evan M. Russek & Rani Moran & Yunzhe Liu & Raymond J. Dolan & Quentin J. M. Huys, 2024. "Heuristics in risky decision-making relate to preferential representation of information," Nature Communications, Nature, vol. 15(1), pages 1-16, December.

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