Fast, frugal and correct? An experimental study on the influence of time scarcity and quantity of information on the voter decision making process

Tóth, Michal; Chytilek, Roman

doi:10.1007/s11127-018-0587-4

Cited by 7 publications

(4 citation statements)

References 26 publications

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“…Consistent with prior research (Graefe & Armstrong, 2012; Tóth & Chytilek, 2018; Wang, 2008), Fast and Frugal heuristics will predict participants’ political judgments more efficiently and more reliably than will full compensatory models.…”

Section: Compensatory Decision Modeling: Social Judgment Theory and P...supporting

confidence: 76%

“…Wang (2008) found that TTB performed equally well as a full compensatory model at describing voter behavior. Adding to the support for the fast and frugal approach are additional studies, which have consistently shown that voters under time and informational constraints (i.e., those most likely to use heuristics instead of compensatory decision making) reach similar voting outcomes as voters without limitations (i.e., those most likely to rely on a full compensatory judgment; Czerlinskiet al, 1999; Lau & Redlawsk, 1997; Tóth & Chytilek, 2018). Although this line of research presents a useful model for understanding voter behavior, it only tells part of the story.…”

Section: Compensatory Decision Modeling: Social Judgment Theory and P...mentioning

confidence: 99%

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Incorporating emotion into cue-based political judgment modeling.

Holloway¹,

Wiener²

2023

Psychology, Public Policy, and Law

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Although the influence of partisanship on American voter behavior is well documented, there are political decisions when party elites are either silent or not in agreement where parties might hold less sway. The present research theorized that in such cases, voters' emotional projections about the policy rather than a review of available information about the law predict their decisions. This study took a policy capturing approach to modeling political judgment by using participant responses to a proposed policy to create a series of regression models in which partisanship, forecasted emotions, and utilization of policy-relevant cues predicted support for the First Step Act, a bipartisan policy which did not receive united support from either political party. Results showed that affective forecasts regarding the Act were the most robust predictors of voter support. Further, voters were inconsistent in identifying which policy relevant cue they were most responsive to when deciding to support the policy. Finally, results showed that a fast and frugal model which predicted support using the two cues most important to each voter was just as accurate as a model which predicted support using voter response to all cues. These findings suggest that when voters do not have clear direction from partisan affiliation, they turn to their emotional reaction to the policy as a source of guidance in their political judgment. Further, when voters do consider policy-relevant information, their support for the policy can be predicted based on how they respond to one or two issues.

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Section: Compensatory Decision Modeling: Social Judgment Theory and P...supporting

confidence: 76%

Section: Compensatory Decision Modeling: Social Judgment Theory and P...mentioning

confidence: 99%

Incorporating emotion into cue-based political judgment modeling.

Holloway¹,

Wiener²

2023

Psychology, Public Policy, and Law

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“…As an example of FFA, we review a recent study of how people determine their votes for political candidates [14]. Recognizing that the actual amount of political information possessed by voters is small, unevenly distributed, and time pressured, the study confirmed the predictions of [14] which predicts that employing specific cognitive shortcuts can help voters make good and quick decisions, even with a lack of information. Voters appear to simplify decision making by focusing mainly on those policy positions they consider important.…”

Section: Fast and Frugal Heuristics: Voting Examplementioning

confidence: 80%

“…The established minimality of realization allows us to claim that the latter realizations must be a homomorphic image of any such realization. We close with an architecture drawn from the cognitive science literature where parallel systems compete to control the response to environmental conditions and show that the fundamental elements drawn from the fast, frugal, and accurate heuristics paradigm [12][13][14] provide insights into this form of intelligent hybrid cyberphysical system design. We close with open questions and research needed to confirm the proposed concepts.…”

Section: Introductionmentioning

confidence: 99%

DEVS-Based Building Blocks and Architectural Patterns for Intelligent Hybrid Cyberphysical System Design

Zeigler

2021

Information

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The DEVS formalism has been recognized to support generic open architectures that allow incorporating multiple engineering domains within integrated simulation models. What is missing for accelerated adoption of DEVS-based methodology for intelligent cyberphysical system design is a set of building blocks and architectural patterns that can be replicated and reused in system development. As a start in this direction, this paper offers a notional architecture for intelligent hybrid cyberphysical system design and proceeds to focus on the decision layer to consider DEVS models for basic behaviors such as choice of alternatives, perception of temporal event relations, and recognition and generation of finite state languages cast into DEVS time segments. We proceed to describe a methodology to define DEVS-based building blocks and architectural patterns for design of systems employing fast, frugal, and accurate heuristics. We identify some elements of this kind and establish their status as minimal realizations of their defined behaviors. As minimal realizations such designs must ipso facto underlie any implementation of the same cognitive behaviors. We discuss architectures drawn from the cognitive science literature to show that the fundamental elements drawn from the fast, frugal, and accurate paradigm provide insights into intelligent hybrid cyberphysical system design. We close with open questions and research needed to confirm the proposed concepts.

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Leveraging Natural Experiments in Political and Legal Institutions: The Historical Political Economy of Random Audits

R. Grose,

K. Wood

2024

Studies in Public Choice

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Fast, frugal and correct? An experimental study on the influence of time scarcity and quantity of information on the voter decision making process

Cited by 7 publications

References 26 publications

Incorporating emotion into cue-based political judgment modeling.

Incorporating emotion into cue-based political judgment modeling.

DEVS-Based Building Blocks and Architectural Patterns for Intelligent Hybrid Cyberphysical System Design

Leveraging Natural Experiments in Political and Legal Institutions: The Historical Political Economy of Random Audits

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