Applications and Innovations of Eye‐movement Research in Judgment and Decision Making

Ashby, Nathaniel J. S.; Johnson, Jacqueline; Krajbich, Ian; Wedel, Michel

doi:10.1002/bdm.1956

Cited by 34 publications

(23 citation statements)

References 69 publications

(58 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, in repeated tasks, participants might get better at extracting information outside of the fovea over time. Because the focus of the gaze is not always a mirror of what is being processed, Ashby et al (2016, p. 98) conclude, “(w)hile eye movements can be used to infer a great deal about information uptake and cognitive processes, they do not necessarily have a one-to-one relationship with specific cognitive processes.” The authors suggest combining ET with neural measures, such as electroencephalography and fMRI, to more holistically measure attention. As the eye-mind assumption is often taken for granted, we encourage ET researchers to critically reflect on whether making the assumption is valid.…”

Section: Basics On Attention Research and Eye Trackingmentioning

confidence: 99%

“…In this context, eye tracking (ET) represents one promising source of behavioral data for organizational researchers. In an experimental setup, ET systems allow researchers to record the movements of a participant’s eyes during behavioral processes, thus providing “insights into the cognitive processes underlying a wide variety of human behaviors” (Ashby, Johnson, Krajbich, & Wedel, 2016, p. 96). ET researchers most often use eye movements as a proxy for attention that is directed to stimuli (as further discussed in the following section).…”

mentioning

confidence: 99%

“…In addition, technological advances in recent years have greatly lowered the barriers for using ET as a research tool in laboratory and field settings (Wedel, 2015). Not only are the costs for ET equipment on a steady decline, but the data quality and ease of use (e.g., programming, setup, and data analysis) have also improved considerably over the years (Ashby et al, 2016).…”

mentioning

confidence: 99%

See 2 more Smart Citations

The Promise of Eye-Tracking Methodology in Organizational Research: A Taxonomy, Review, and Future Avenues

Meißner

Oll²

2017

Organizational Research Methods

View full text Add to dashboard Cite

Technological advances in recent years have greatly lowered the barriers for using eye tracking (ET) as a research tool in laboratory and field settings. However, despite its potential and widespread application in other disciplines, the use of ET in organizational research remains sparse. This article therefore aims to introduce ET, and thus a new mode of behavioral data, to the field of organizational research. Based on a synthesis of prior literature, we propose an integrative taxonomy that unravels the methodological potential of ET as well as its scope of application. Building on our proposed taxonomy, we systematically review the use of ET in leading management journals and reflect on the current state of research. We further illustrate future avenues for ET in the domains of strategic management, entrepreneurship, and human resources to contribute to the method’s future dissemination and to the advancement of organizational science as well.

show abstract

Section: Basics On Attention Research and Eye Trackingmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

The Promise of Eye-Tracking Methodology in Organizational Research: A Taxonomy, Review, and Future Avenues

Meißner

Oll²

2017

Organizational Research Methods

View full text Add to dashboard Cite

show abstract

“…We discuss this variable in detail in our dependent variable section. Eye trackers record eye movements during a task that can provide understanding of the underlying cognitive processes that trigger an assortment of behaviors(Holmqvist et al 2011;Ashby et al 2016). Tracking and analyzing eye movements has helped researchers examine human behavior across a number of disciplines, including psychology, organizational behavior, and information systems(Dimoka et al 2012;Orquin and Loose 2013;…”

mentioning

confidence: 99%

Client Data Files and Auditor Skepticism: How Do 'Dirty' Files Influence Auditors’ Skeptical Judgments and Actions?

et al. 2019

View full text Add to dashboard Cite

Auditors receive an abundance of client-prepared data files when performing audit work. With today's increasingly data-rich environment, these files are likely becoming even more challenging for auditors to cognitively process. Specifically, these data files may have characteristics (e.g., contain errors or irrelevant information; aka "dirty" files) that could challenge their ease of use and interpretation (i.e., processing fluency). Depending on this ease, auditors may view these files as relatively less reliable and trustworthy, resulting in skeptical judgments and actions that are sometimes excessive. This paper reports two experiments examining whether two features of the data files, the presence of minor errors (absent or present) and information load (low or high), influence auditors' processing fluency, skeptical judgments, and actions. While minor errors should raise auditors' concerns, greater information load should not. However, we find the lowest processing fluency and highest skeptical judgments and actions when minor errors are present and information load is higher. Our study contributes to the literature by presenting an alternative issue to those raised by regulators (i.e., too much skepticism rather than too little) that can occur when auditors struggle to interpret large amounts of data. From a practical perspective, while access to increased amounts of client data may have benefits, audit firms and clients need to be wary of the potential for wasted time that could create inefficiencies that may affect audit quality.

show abstract

“…It enables researchers to look not only at the decisions themselves, but also how individuals arrive to these decisions, and thus gain more insights into how and why specific choices are made. The decrease of costs of the eye-tracking tools greatly increased the frequency of its use in judgement and decision making literature (Ashby et al 2016). Eye-tracking research has significantly contributed to the better understanding of behavioral patterns related to the endowment effect (e.g., Ashby et al 2012), preferences for taking risks (e.g., Fiedler and Glöckner 2012), social preferences (e.g., Jiang et al 2015), and the use of decision strategies (e.g., Glöckner and Herbold 2011), to name a few.…”

Section: Risky Decision Making For Oneself and Others: The Role Of Inmentioning

confidence: 99%

Social and Economic Factors in Decision Making under Uncertainty: Five Essays in Behavioral Economics

Posadzy¹

View full text Add to dashboard Cite

The objective of this thesis is to improve the understanding of human behavior that goes beyond monetary rewards. In particular, it investigates social influences in individual's decision making in situations that involve coordination, competition, and deciding for others. Further, it compares how monetary and social outcomes are perceived. The common theme of all studies is uncertainty. The first four essays study individual decisions that have uncertain consequences, be it due to the actions of others or chance. The last essay, in turn, uses the advances in research on decision making under uncertainty to predict behavior in riskless choices. The first essay, Fairness Versus Efficiency: How Procedural Fairness Concerns AffectCoordination, investigates whether preferences for fair rules undermine the efficiency of coordination mechanisms that put some individuals at a disadvantage. The results from a laboratory experiment show that the existence of coordination mechanisms, such as action recommendations, increases efficiency, even if one party is strongly disadvantaged by the mechanism. Further, it is demonstrated that while individuals' behavior does not depend on the fairness of the coordination mechanism, their beliefs about people's behavior do.The second essay, Dishonesty and Competition. Evidence from a stiff competition environment, explores whether and how the possibility to behave dishonestly affects the willingness to compete and who the winner is in a competition between similarly skilled individuals. We do not find differences in competition entry between competitions in which dishonesty is possible and in which it is not. However, we find that due to the heterogeneity in propensity to behave dishonestly, around 20% of winners are not the best-performing individuals. This implies that the efficient allocation of resources cannot be ensured in a stiff competition in which behavior is unmonitored. The third essay, Tracing Risky Decision Making for Oneself and Others: The Role of Intuitionand Deliberation, explores how individuals make choices under risk for themselves and on behalf of other people. The findings demonstrate that while there are no differences in preferences for taking risks when deciding for oneself and for others, individuals have greater decision error when choosing for other individuals. The differences in the decision error can be partly attributed to the differences in information processing; individuals employ more deliberative cognitive processing when deciding for themselves than when deciding for others.ii Conducting more information processing when deciding for others is related to the reduction in decision error. The fourth essay, The Effect of Decision Fatigue on Surgeons' Clinical Decision Making,investigates how mental depletion, caused by a long session of decision making, affects surgeon's decision to operate. Exploiting a natural experiment, we find that surgeons are less likely to schedule an operation for patients who have appointment late during the work shi...

show abstract

Applications and Innovations of Eye‐movement Research in Judgment and Decision Making

Cited by 34 publications

References 69 publications

The Promise of Eye-Tracking Methodology in Organizational Research: A Taxonomy, Review, and Future Avenues

The Promise of Eye-Tracking Methodology in Organizational Research: A Taxonomy, Review, and Future Avenues

Client Data Files and Auditor Skepticism: How Do 'Dirty' Files Influence Auditors’ Skeptical Judgments and Actions?

Social and Economic Factors in Decision Making under Uncertainty: Five Essays in Behavioral Economics

Contact Info

Product

Resources

About