The neurodynamics of choice, value-based decisions, and preference reversal

Usher, Marius; Elhalal, Anat; McClelland, James L.

doi:10.1093/acprof:oso/9780199216093.003.0013

Cited by 19 publications

(48 citation statements)

References 42 publications

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“…It also passes more difficult tests such as accounting for the data from Usher et al (2008) involving unavailable options in the compromise effect, and naturally predicts previous results for the attracfion and compromise effects under fime pressure. Going beyond MDFT and the LCA model, the MLBA model makes a new prediction about the influence of fime pressure on the similarity effect, which we confirmed experimentally.…”

Section: Discussionsupporting

confidence: 55%

“…The correlated extremes split their winnings and are selected less often than the compromise option. Usher, Elhalal, and McClelland (2008) experimentally tested temporal correlation in the compromise effect. In their experiment, subjects were given a ternary choice set and asked to choose one of the options.…”

Section: Discussion Of Mdft and The Lca Modelmentioning

confidence: 99%

“…Tsetsos et al (2010) demonstrated through simulations that the LCA model makes the correct prediction, unlike MDFT. Hotaling et al (2010) argued that MDFT can account for the results of Usher et al (2008) if asymmetric attention weighting is allowed. They argued that an extreme option is only initially selected if an individual is attending to one dimension tnore than the other.…”

Section: Discussion Of Mdft and The Lca Modelmentioning

confidence: 99%

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The multiattribute linear ballistic accumulator model of context effects in multialternative choice.

Trueblood¹,

Brown²,

Heathcote³

2014

Psychological Review

237

358

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Context effects occur when a choice between 2 options is altered by adding a 3rd alternative. Three major context effects--similarity, compromise, and attraction--have wide-ranging implications across applied and theoretical domains, and have driven the development of new dynamic models of multiattribute and multialternative choice. We propose the multiattribute linear ballistic accumulator (MLBA), a new dynamic model that provides a quantitative account of all 3 context effects. Our account applies not only to traditional paradigms involving choices among hedonic stimuli, but also to recent demonstrations of context effects with nonhedonic stimuli. Because of its computational tractability, the MLBA model is more easily applied than previous dynamic models. We show that the model also accounts for a range of other phenomena in multiattribute, multialternative choice, including time pressure effects, and that it makes a new prediction about the relationship between deliberation time and the magnitude of the similarity effect, which we confirm experimentally.

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Section: Discussionsupporting

confidence: 55%

Section: Discussion Of Mdft and The Lca Modelmentioning

confidence: 99%

Section: Discussion Of Mdft and The Lca Modelmentioning

confidence: 99%

See 1 more Smart Citation

The multiattribute linear ballistic accumulator model of context effects in multialternative choice.

Trueblood¹,

Brown²,

Heathcote³

2014

Psychological Review

237

358

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show abstract

“…See also the closely related models of Usher and McClelland (2004) and Usher et al (2008). These models have also investigated the impact that random fluctuations in attention have on choice accuracy and reaction time.…”

Section: Discussionmentioning

confidence: 95%

The Attentional Drift-Diffusion Model Extends to Simple Purchasing Decisions

Krajbich¹,

Lu²,

Camerer³

et al. 2012

Front. Psychology

301

300

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How do we make simple purchasing decisions (e.g., whether or not to buy a product at a given price)? Previous work has shown that the attentional drift-diffusion model (aDDM) can provide accurate quantitative descriptions of the psychometric data for binary and trinary value-based choices, and of how the choice process is guided by visual attention. Here we extend the aDDM to the case of purchasing decisions, and test it using an eye-tracking experiment. We find that the model also provides a reasonably accurate quantitative description of the relationship between choice, reaction time, and visual fixations using parameters that are very similar to those that best fit the previous data. The only critical difference is that the choice biases induced by the fixations are about half as big in purchasing decisions as in binary choices. This suggests that a similar computational process is used to make binary choices, trinary choices, and simple purchasing decisions.

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“…The empirical literature on decision making distinguishes between perceptual and value-based decisions. Perceptual decisions (e.g., “Did I just smell coffee?”) typically become more accurate the longer they take, up to some threshold (for reviews, see123) and approximate optimality456. Value-based decisions (e.g., “Would I like a cup of coffee?”), in contrast, exhibit a number of well-known idiosyncrasies7891011.…”

mentioning

confidence: 99%

Local dynamics in decision making: The evolution of preference within and across decisions

O’Hora

Dale

Piiroinen

et al. 2013

Sci Rep

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Within decisions, perceived alternatives compete until one is preferred. Across decisions, the playing field on which these alternatives compete evolves to favor certain alternatives. Mouse cursor trajectories provide rich continuous information related to such cognitive processes during decision making. In three experiments, participants learned to choose symbols to earn points in a discrimination learning paradigm and the cursor trajectories of their responses were recorded. Decisions between two choices that earned equally high-point rewards exhibited far less competition than decisions between choices that earned equally low-point rewards. Using positional coordinates in the trajectories, it was possible to infer a potential field in which the choice locations occupied areas of minimal potential. These decision spaces evolved through the experiments, as participants learned which options to choose. This visualisation approach provides a potential framework for the analysis of local dynamics in decision-making that could help mitigate both theoretical disputes and disparate empirical results.

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The neurodynamics of choice, value-based decisions, and preference reversal

Cited by 19 publications

References 42 publications

The multiattribute linear ballistic accumulator model of context effects in multialternative choice.

The multiattribute linear ballistic accumulator model of context effects in multialternative choice.

The Attentional Drift-Diffusion Model Extends to Simple Purchasing Decisions

Local dynamics in decision making: The evolution of preference within and across decisions

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