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Is attentional discounting in value-based decision making magnitude sensitive?
16 references·1 citing·42 second hop
Is attentional discounting in value-based decision making magnitude sensitive? (2021)Is attentional discounting in value-based…Sensitivity of reaction time to the magnitude of rewards reveals the cost-structure of time (2019)Sensitivity of reaction time …Attitudes and attention (2019)Attitudes and attentionThe (Neural) Dynamics of Stochastic Choice (2018)The (Neural) Dynamics of Stoc…Gaze Amplifies Value in Decision Making (2018)Gaze Amplifies Value in Decis…Attention and choice across domains. (2018)Attention and choice across d…Evidence for the speed–value trade-off: Human and monkey decision making is magnitude sensitive. (2017)Evidence for the speed–value …Strength and weight: The determinants of choice and confidence (2016)Strength and weight: The dete…Finding the right fit: A comparison of process assumptions underlying popular drift-diffusion models. (2016)Finding the right fit: A comp…Absolutely relative or relatively absolute: violations of value invariance in human decision making (2015)Absolutely relative or relati…A Common Mechanism Underlying Food Choice and Social Decisions (2015)A Common Mechanism Underlying…Eye tracking and pupillometry are indicators of dissociable latent decision processes. (2014)Eye tracking and pupillometry…Normalization is a general neural mechanism for context-dependent decision making (2013)Normalization is a general ne…The Attentional Drift-Diffusion Model Extends to Simple Purchasing Decisions (2012)The Attentional Drift-Diffusi…Multialternative drift-diffusion model predicts the relationship between visual fixations and choice in value-based decisions (2011)Multialternative drift-diffus…Visual fixations and the computation and comparison of value in simple choice (2010)Visual fixations and the comp…The Drift Diffusion Model can account for the accuracy and reaction time of value-based choices under high and low time pressure (2010)The Drift Diffusion Model can…High-value decisions are made quickly, with no consistent effect on accuracy (2025)High-value decisions are made…Measuring utility by a single-response sequential method (1964)Elimination by aspects: A theory of choice. (1972)When choice is demotivating: Can one desire too much of a good thing? (2000)The Malleability of Intertemporal Choice (2015)Optimal policy for value-based decision-making (2016)Efficient coding of subjective value (2018)Measuring Utility by a Single-Response Sequential Method (1964) (1974)Decision field theory: A dynamic-cognitive approach to decision making in an uncertain environment. (1993)Rethinking fast and slow based on a critique of reaction-time reverse inference (2015)Towards a neuroscience of active sampling and curiosity (2018)A Theory of Fairness, Competition, and Cooperation (1999)ERC: A Theory of Equity, Reciprocity, and Competition (2000)Incorporating Fairness into Game Theory and Economics (2011)Social Decision-Making and the Brain: A Comparative Perspective (2017)Biased sequential sampling underlies the effects of time pressure and delay in social decision making (2018)Revealed strength of preference: Inference from response times (2019)HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python (2013)A reinforcement learning diffusion decision model for value-based decisions (2019)Value-based attention but not divisive normalization influences decisions with multiple alternatives (2020)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)Search Dynamics in Consumer Choice under Time Pressure: An Eye-Tracking Study (2011)Attention and choice: A review on eye movements in decision making (2013)Understanding Social Preferences with Simple Tests (2002)Gaze bias differences capture individual choice behaviour (2019)Ownership, Learning, and Beliefs (2019)Systematic exploration and uncertainty dominate young children's choices (2020)Automobile Prices in Market Equilibrium (1995)Discrete Choice Methods with Simulation (2001)Risk Aversion and Incentive Effects (2002)Response Times in Economics: Looking Through the Lens of Sequential Sampling Models (2016)Dissociable mechanisms govern when and how strongly reward attributes affect decisions (2020)Time Will Tell: Recovering Preferences When Choices Are Noisy (2021)Loss Aversion and Inhibition in Dynamical Models of Multialternative Choice. (2004)The Neural Basis of Loss Aversion in Decision-Making Under Risk (2007)Neuroeconomics: Decision Making and the Brain (2009)Neuroeconomic Foundations of Economic Choice—Recent Advances (2011)The Dynamics of Decision Making in Risky Choice: An Eye-Tracking Analysis (2012)Dietary Self-Control Is Related to the Speed With Which Attributes of Healthfulness and Tastiness Are Processed (2014)Relative visual saliency differences induce sizable bias in consumer choice (2011)Behavioral inattention (2018)Fixation patterns in simple choice reflect optimal information sampling (2021)
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References

  • 2010Visual fixations and the computation and comparison of value in simple choice1,406 cited
  • 2011Multialternative drift-diffusion model predicts the relationship between visual fixations and choice in value-based decisions728 cited
  • 2012The Attentional Drift-Diffusion Model Extends to Simple Purchasing Decisions359 cited
  • 2013Normalization is a general neural mechanism for context-dependent decision making341 cited
  • 2010The Drift Diffusion Model can account for the accuracy and reaction time of value-based choices under high and low time pressure321 cited
  • 2014Eye tracking and pupillometry are indicators of dissociable latent decision processes.289 cited
  • 2018Gaze Amplifies Value in Decision Making204 cited
  • 2015A Common Mechanism Underlying Food Choice and Social Decisions127 cited
  • 2018Attention and choice across domains.121 cited
  • 2018The (Neural) Dynamics of Stochastic Choice114 cited
  • 2015Absolutely relative or relatively absolute: violations of value invariance in human decision making90 cited
  • 2017Evidence for the speed–value trade-off: Human and monkey decision making is magnitude sensitive.76 cited
  • 2016Strength and weight: The determinants of choice and confidence41 cited
  • 2016Finding the right fit: A comparison of process assumptions underlying popular drift-diffusion models.

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32 cited
  • 2019Attitudes and attention31 cited
  • 2019Sensitivity of reaction time to the magnitude of rewards reveals the cost-structure of time21 cited
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    • 2025High-value decisions are made quickly, with no consistent effect on accuracy1 cited