Pular para o conteúdo principal

ETHNOS_APP

Início • Busca • Periódicos • Lista 0

Probability overestimation induced by icon arrays

Dados Bibliográficos

ID21284030
AutoresKazuhisa Nagaya (0000-0002-7889-816X, Yamaguchi University, autor correspondente), Hiroyuki Shimizu (0000-0002-5926-2713, Kobe Gakuin University)
Ano2024
Volume248
Páginas104352
Data de publicação2024-08-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoActa Psychologica (JOURNAL)
Identificadores do periódicoISSN: 0001-6918 • E-ISSN: 1873-6297
EditoraElsevier BV (PUBLISHER)
DOI10.1016/j.actpsy.2024.104352
PMID38889658
OpenAlexW4399748953
IdiomaEN
Referências citadas41

In decision making under risk, where the consequences of choices vary depending on specific probabilities, a proper interpretation of the presented probabilities is essential. However, because people are not good at evaluating numerical values, such as percentages, efforts have been made to accurately convey presented probabilities using visual aids represented by icon arrays. However, previous studies have suggested that icon arrays produce an overestimation of probabilities under specific conditions. Especially, (a) the arrangement of highlighted icons and (b) the severity of the outcomes represented by highlighted icons can lead to an overestimation of probabilities. By considering the absolute estimation of probabilities indicated by icon arrays and manipulating the aforementioned factors, this study investigated whether these factors could elicit an overestimation of probabilities in an additive manner or whether they have interactive effects. Two studies (total N = 1171) consistently showed that the arrangement of highlighted icons and the outcome severity they indicate induced a perceptual bias in the estimation of the probabilities presented in icon arrays in an additive manner. When the highlighted icons were random and the outcomes they indicate were severe, the probabilities presented by the icon arrays were overestimated. Accordingly, the study not only confirms the robustness of the findings of previous studies but also expand our understanding of the probability overestimation caused by icon arrays. Here, we discuss our findings in terms of the impact of risk-related communication

Icon · Advanced Statistical Modeling Techniques · Computer Science · Distributed Sensor Networks and Detection Algorithms · Optimal Experimental Design Methods · Psychology

  • Measuring Numeracy without a Math Test

    Open Access•Angela Fagerlin, Brian J Zikmund-Fisher et al.•Medical Decision Making•2007

  • Design Features of Graphs in Health Risk Communication

    J S Ancker, Y Senathirajah et al.•Journal of the American Medical…•2006

  • Measuring Risk Literacy

    Open Access•Edward T Cokely, M Galesic et al.•Judgment and Decision Making•2012

  • General Performance on a Numeracy Scale among Highly Educated Samples

    Open Access•Isaac M Lipkus, Isaac Lipkus et al.•Medical Decision Making•2001

  • G*Power 3

    Open Access•Franz Faul, Edgar Erdfelder et al.•Behavior Research Methods•2007

  • “A 30% Chance of Rain Tomorrow”

    Open Access•Gerd Gigerenzer, Ralph Hertwig et al.•Risk Analysis•2005

  • Choices, values, and frames

    Daniel Kahneman, Amos Tversky•American Psychologist•1984

  • What shapes the probability weighting function? Influence of affect, numeric competencies, and information formats

    Open Access•Darya Petrova, Jakub Traczyk et al.•Journal of Behavioral Decision…•2018

  • Effects of graphical presentation of benefits on cognitive judgments induced by affect heuristic

    Open Access•Kazuhisa Nagaya, Hiroyuki Shimizu•Appetite•2023

  • Who proficts from visual aids

    Open Access•Rocio Garcia-Retamero, M Galesic•Social Science & Medicine•2010

Velocidade de citaçãohistorical
Altamente citadoNão
Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae