Literature DB >> 29369680

Prospect theory reflects selective allocation of attention.

Thorsten Pachur1, Michael Schulte-Mecklenbeck2, Ryan O Murphy3, Ralph Hertwig1.   

Abstract

There is a disconnect in the literature between analyses of risky choice based on cumulative prospect theory (CPT) and work on predecisional information processing. One likely reason is that for expectation models (e.g., CPT), it is often assumed that people behaved only as if they conducted the computations leading to the predicted choice and that the models are thus mute regarding information processing. We suggest that key psychological constructs in CPT, such as loss aversion and outcome and probability sensitivity, can be interpreted in terms of attention allocation. In two experiments, we tested hypotheses about specific links between CPT parameters and attentional regularities. Experiment 1 used process tracing to monitor participants' predecisional attention allocation to outcome and probability information. As hypothesized, individual differences in CPT's loss-aversion, outcome-sensitivity, and probability-sensitivity parameters (estimated from participants' choices) were systematically associated with individual differences in attention allocation to outcome and probability information. For instance, loss aversion was associated with the relative attention allocated to loss and gain outcomes, and a more strongly curved weighting function was associated with less attention allocated to probabilities. Experiment 2 manipulated participants' attention to losses or gains, causing systematic differences in CPT's loss-aversion parameter. This result indicates that attention allocation can to some extent cause choice regularities that are captured by CPT. Our findings demonstrate an as-if model's capacity to reflect characteristics of information processing. We suggest that the observed CPT-attention links can be harnessed to inform the development of process models of risky choice. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

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Year:  2018        PMID: 29369680     DOI: 10.1037/xge0000406

Source DB:  PubMed          Journal:  J Exp Psychol Gen        ISSN: 0022-1015


  7 in total

1.  Differential focus on probability and losses between young and older adults in risky decision-making.

Authors:  Erica L O'Brien; Thomas M Hess
Journal:  Neuropsychol Dev Cogn B Aging Neuropsychol Cogn       Date:  2019-07-29

2.  Time to Pay Attention? Information Search Explains Amplified Framing Effects Under Time Pressure.

Authors:  Ian D Roberts; Yi Yang Teoh; Cendri A Hutcherson
Journal:  Psychol Sci       Date:  2021-12-03

3.  Decomposing loss aversion from gaze allocation and pupil dilation.

Authors:  Feng Sheng; Arjun Ramakrishnan; Darsol Seok; Wenjia Joyce Zhao; Samuel Thelaus; Puti Cen; Michael Louis Platt
Journal:  Proc Natl Acad Sci U S A       Date:  2020-05-08       Impact factor: 11.205

4.  The formation of preference in risky choice.

Authors:  Moshe Glickman; Orian Sharoni; Dino J Levy; Ernst Niebur; Veit Stuphorn; Marius Usher
Journal:  PLoS Comput Biol       Date:  2019-08-29       Impact factor: 4.475

5.  How Cues of Being Watched Promote Risk Seeking in Fund Investment in Older Adults.

Authors:  Meijia Li; Huamao Peng
Journal:  Front Psychol       Date:  2022-01-12

6.  Toward an attentional turn in research on risky choice.

Authors:  Veronika Zilker; Thorsten Pachur
Journal:  Front Psychol       Date:  2022-09-06

7.  Correcting for discounting and loss aversion in composite time trade-off.

Authors:  Stefan A Lipman; Arthur E Attema; Matthijs M Versteegh
Journal:  Health Econ       Date:  2022-04-26       Impact factor: 2.395

  7 in total

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