An eye‐tracking study on information processing in risky decisions: Evidence for compensatory strategies based on automatic processes
By A. Glöckner, Ann-Katrin Herbold. 2011
363 citations recorded by the source corpus.
Subfields: Economics and Econometrics, General Decision Sciences, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/37fc9480e3b17fd1aa7c74c542d8431f5693912a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Ian Krajbich
- Antonio Rangel
- Colin F. Camerer
- Jacob L. Orquin
- Simone Mueller Loose
- James D. Grayot
- Robert Sugden
- Douglas Bernheim
In General Decision Sciences
- Antonio Rangel
- Colin F. Camerer
- Ian Krajbich
- Dingchao Lu
- Jacob L. Orquin
- Simone Mueller Loose
- John A. Clithero
- C. Padoa-Schioppa
In Management Science and Operations Research
- Jacob L. Orquin
- Simone Mueller Loose
- Antonio Rangel
- Colin F. Camerer
- John A. Clithero
- Eric Van den Steen
Citations in the corpus
- The Attentional Drift-Diffusion Model Extends to Simple Purchasing Decisions (2012, background): “…is noisy because the brain needs to take repeated noisy samples of the value of the stimuli being evaluated, and that visual attention matters because it guides the sampling process (Busemeyer and Townsend, 1993; Krajbich et al., 2010; Glockner and Herbold, 2011; Krajbich and Rangel, 2011).”
- Attention and choice: a review on eye movements in decision making. (2013, methodology): “Some studies have attempted tomodel or directly test the effect of heuristics on attention (Glöckner & Herbold, 2011; Knoepfle, Tao-yi Wang, & Camerer, 2009; Reutskaja et al., 2011; Sütterlin et al., 2008;Wedell & Senter, 1997), however none of the studies have successfully demonstrated such an…”