Confidence in perceptual decisions is thought to reflect the probability of being correct. According to this view, confidence should be unaffected or minimally reduced by the presence of irrelevant alternatives. To test this prediction, we designed five experiments. In Experiment 1, participants had to identify the largest geometrical shape among two or three alternatives. In the three-alternative condition, one of the shapes was much smaller than the other two, being a clearly incorrect option. Counter-intuitively, confidence was higher when the irrelevant alternative was present, evidencing that confidence construction is more complex than previously thought. Four computational models were tested, only one of them accounting for the results. This model predicts that confidence increases monotonically with the number of irrelevant alternatives, a prediction we tested in Experiment 2. In Experiment 3, we evaluated whether this effect replicated in a categorical task, but we did not find supporting evidence. Experiments 4 and 5 allowed us to discard stimuli presentation time as a factor driving the effect. Our findings suggest that confidence models cannot ignore the effect of multiple, possibly irrelevant alternatives to build a thorough understanding of confidence.
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http://dx.doi.org/10.1016/j.cognition.2023.105377 | DOI Listing |
Appl Health Econ Health Policy
January 2025
General Practice Clinical Unit, Faculty of Clinical Medicine, The University of Queensland, Brisbane, QLD, Australia.
Introduction: Antimicrobial resistance is a global emergency related to overprescribing of antibiotics. Few studies have explored how prescribing behaviours may change as the consequence of changing resistance. Understanding how contextual factors influence antibiotic prescribing will facilitate improved communication strategies to promote appropriate antibiotic prescribing.
View Article and Find Full Text PDFUrogynecology (Phila)
January 2025
From the Division of Urogynecology, Walter Reed National Military Medical Center, Bethesda, MD.
Importance: Use of the publicly available Large Language Model, Chat Generative Pre-trained Transformer (ChatGPT 3.5; OpenAI, 2022), is growing in health care despite varying accuracies.
Objective: The aim of this study was to assess the accuracy and readability of ChatGPT's responses to questions encompassing surgical informed consent in urogynecology.
Genet Med Open
October 2024
The Children's Hospital of Philadelphia, Philadelphia, PA.
Purpose: Current literature reports strong support among parents for genetic testing for ill neonates; yet, some parents decline this testing for unknown reasons. We aimed to document the proportion of parents who decline, describe their clinical and demographic characteristics, and categorize their rationales.
Methods: We reviewed medical records to collect and compare clinical and demographic information for patients whose parents consented to and declined recommended genetic testing.
J Appl Stat
June 2024
Graduate School, Department of Urban Big Data Convergence, University of Seoul, Seoul, South Korea.
Clustering is an essential technique that groups similar data points to uncover the underlying structure and features of the data. Although traditional clustering methods such as -means are widely utilized, they have limitations in identifying nonlinear clusters. Thus, alternative techniques, such as kernel -means and spectral clustering, have been developed to address this issue.
View Article and Find Full Text PDFNoise Health
January 2025
MGEN Foundation for Public Health, Paris, France.
Objective: Besides psychosocial stressors, teachers are exposed to disturbing noise at work, such as students' irrelevant speech. Few studies have focused on this issue and its health consequences. We explored occupational noise exposure among teachers within the French workforce and analyzed how noise and work-related stress are related to their health.
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