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11 results on '"Audrey Mazancieux"'

1. Episodic and semantic feeling-of-knowing in aging: a systematic review and meta-analysis

Author

Méline Devaluez, Audrey Mazancieux, and Céline Souchay

Subjects
Medicine, Science
Abstract

Abstract A complex pattern of preservation and deterioration in metacognition in aging is found, especially regarding predicting future memory retrieval (i.e., feeling-of-knowing, FOK). While semantic FOK (sFOK) is preserved with age, studies on episodic tasks (eFOK) produce equivocal findings. We present a meta-analysis of 20 studies on eFOK and sFOK, analyzing the difference in metacognitive sensitivity between 922 younger and 966 older adults, taking into account the difference in memory performance. The sFOK studies yielded no overall age effect (8 effects, g = −0.10 [−0.29, 0.10]). However, we found a reliable age-group difference on eFOK (22 effects, g = 0.53 [0.28, 0.78]), which was moderated when considering recognition performance. Moreover, using aggregated data of 134 young and 235 older adults from published and unpublished studies from our lab, we investigated memory performance as an explanation of the eFOK deficit. We show that older adults are less metacognitively sensitive than younger adults for eFOKs which is, at least partly, due to the age-related memory decline. We highlight two non-exclusive explanations: a recollection deficit at play in the first and second order tasks, and a confound between first order performance and the measure used to assess metacognitive sensitivity.

Published
2023
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2. Brainstem fMRI signaling of surprise across different types of deviant stimuli

Author

Audrey Mazancieux, Franck Mauconduit, Alexis Amadon, Jan Willem de Gee, Tobias H. Donner, and Florent Meyniel

Subjects
CP: Neuroscience, Biology (General), QH301-705.5
Abstract

Summary: Detection of deviant stimuli is crucial to orient and adapt our behavior. Previous work shows that deviant stimuli elicit phasic activation of the locus coeruleus (LC), which releases noradrenaline and controls central arousal. However, it is unclear whether the detection of behaviorally relevant deviant stimuli selectively triggers LC responses or other neuromodulatory systems (dopamine, serotonin, and acetylcholine). We combine human functional MRI (fMRI) recordings optimized for brainstem imaging with pupillometry to perform a mapping of deviant-related responses in subcortical structures. Participants have to detect deviant items in a “local-global” paradigm that distinguishes between deviance based on the stimulus probability and the sequence structure. fMRI responses to deviant stimuli are distributed in many cortical areas. Both types of deviance elicit responses in the pupil, LC, and other neuromodulatory systems. Our results reveal that the detection of task-relevant deviant items recruits the same multiple subcortical systems across computationally different types of deviance.

Published
2023
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3. Brainstem fMRI signaling of surprise across different types of deviant stimuli

Author

Audrey Mazancieux, Franck Mauconduit, Alexis Amadon, Jan Willem de Gee, Tobias Donner, and Florent Meyniel

Abstract

SummaryThe detection of deviant stimuli is crucial to orient and adapt our behavior. Previous work showed that infrequent (hence deviant) stimuli elicit phasic activation of the brainstem locus coeruleus (LC), which releases noradrenaline and controls central arousal. However, it is unclear whether the detection of behaviorally-relevant deviant events selectively trigger LC responses, or also other neuromodulatory systems related to dopamine, acetylcholine, and serotonin. Here, we combined human fMRI recordings optimized for brainstem imaging with pupillometry (a peripheral marker of central arousal) to perform a mapping of deviant-related responses in subcortical structures. Participants had to detect deviant items in a “local-global” paradigm that distinguishes between deviance based on the stimulus probability and the sequence structure. fMRI responses to deviant stimuli were quite distributed, detected in the LC but also other subcortical nuclei and many cortical areas. Both types of deviance elicited responses in the pupil, LC and other neuromodulatory systems. Our results reveal that the detection of task-relevant deviant items recruits the same multiple subcortical systems across computationally different types of deviance.

Published
2022

4. Episodic and semantic feeling-of-knowing in aging: a systematic review and meta-analysis

Author

Méline Devaluez, Audrey Mazancieux, and Céline Souchay

Abstract

A complex pattern of preservation and deterioration in metacognition in aging is found, especially regarding predicting future memory retrieval (i.e., feeling-of knowing, FOK). While semantic FOK (sFOK) is preserved with age, studies on episodic tasks (eFOK) produce equivocal findings. We present a meta analysis of 20 studies on eFOK and sFOK, analyzing the difference in metacognitive sensitivity between 922 younger and 966 older adults, taking into account the difference in memory performance. The sFOK studies yielded no overall age effect (8 effects, g = -0.10 [-0.29, 0.10]). However, we found a reliable age-group difference on eFOK (22 effects, g = 0.53 [0.28, 0.78]), which was moderated when considering recognition performance. Moreover, using aggregated data of 134 young and 235 older adults from published and unpublished studies from our lab, we investigated memory performance as an explanation of the eFOK deficit. We show that older adults are less metacognitively sensitive than younger adults for eFOKs which is, at least partly, due to the age related memory decline. We highlight two non-exclusive explanations: a recollection deficit at play in the first and second order tasks, and a confound between first order performance and the measure used to assess metacognitive sensitivity.

Published
2022

5. A Multidimensional Assessment of Metacognition Across Domains in Multiple Sclerosis

Author

Olivier Casez, Céline Souchay, Audrey Mazancieux, Chris J. A. Moulin, Laboratoire de Psychologie et NeuroCognition (LPNC ), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Institut Universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), and Centre Hospitalier Universitaire [Grenoble] (CHU)

Subjects
Multiple Sclerosis, [SHS.PSY]Humanities and Social Sciences/Psychology, Metacognition, Neuropsychological Tests, behavioral disciplines and activities, 050105 experimental psychology, Judgment, [SCCO]Cognitive science, 03 medical and health sciences, Cognition, 0302 clinical medicine, Metamemory, medicine, Humans, Verbal fluency test, Semantic memory, 0501 psychology and cognitive sciences, General Neuroscience, Anosognosia, Multiple sclerosis, 05 social sciences, Neuropsychology, medicine.disease, Psychiatry and Mental health, Clinical Psychology, Self-awareness, Neurology (clinical), Psychology, 030217 neurology & neurosurgery, Cognitive psychology
Abstract

Objective:In neurological diseases, metacognitive judgements have been widely used in order to assess the degree of disease awareness. However, as yet little research of this type has focused on multiple sclerosis (MS).Method:We here focused on an investigation of item-by-item metacognitive predictions (using feeling-of-knowing judgements) in episodic and semantic memory and global metacognitive predictions in standard neuropsychological tests pertinent to MS (processing speed and verbal fluency). Twenty-seven relapsing–remitting MS (RR-MS) patients and 27 comparison participants took part.Results:We found that RR-MS patients were as accurate as the group of comparison participants on our episodic and semantic item-by-item judgements. However, for the global predictions, we found that the MS group initially overestimated their performance (ds = .64), but only on a task on which performance was also impaired (ds = .89; processing speed). We suggest that MS patients, under certain conditions, show inaccurate metacognitive knowledge. However, postdictions and item-by-item predictions indicate that online metacognitive processes are no different from participants without MS.Conclusion:We conclude that there is no monitoring deficit in RR-MS and as such these patients should benefit from adaptive strategies and symptom education.

Published
2020

6. In the here and now: Short term memory predictions are preserved in Alzheimer's disease

Author

Audrey Mazancieux, Céline Souchay, Yannick Béjot, Olivier Rouaud, Julie M. F. Bertrand, Chris J. A. Moulin, Laboratoire de Psychologie et NeuroCognition (LPNC ), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Université de Bourgogne (UB), Centre d'épidémiologie des populations (CEP), Université de Bourgogne (UB)-Centre Régional de Lutte contre le cancer Georges-François Leclerc [Dijon] (UNICANCER/CRLCC-CGFL), UNICANCER-UNICANCER, and Centre Leenaards de la mémoire

Subjects
Male, Cognitive Neuroscience, media_common.quotation_subject, Short-term memory, Experimental and Cognitive Psychology, behavioral disciplines and activities, 050105 experimental psychology, Task (project management), [SCCO]Cognitive science, 03 medical and health sciences, Cognition, 0302 clinical medicine, Alzheimer Disease, Metamemory, Memory span, medicine, Humans, 0501 psychology and cognitive sciences, Function (engineering), ComputingMilieux_MISCELLANEOUS, Aged, media_common, Memory Disorders, Working memory, Anosognosia, 05 social sciences, Awareness, Impaired memory, medicine.disease, Memory, Short-Term, Neuropsychology and Physiological Psychology, [SCCO.PSYC]Cognitive science/Psychology, Agnosia, Female, Metacognition, Psychology, 030217 neurology & neurosurgery, Cognitive psychology
Abstract

According to neuropsychological models of anosognosia, there is a failure to transfer on-line awareness of dysfunction into a more generalised long term belief about memory function in Alzheimer's disease. This failure results in specific metamemory deficits for global predictions: patients overestimate their performance before the task but are able to monitor their memory performance after having experienced the task. However, after a delay, they are still not able to make accurate predictions. As previous work has mainly focused on long-term memory, the present study investigates this issue in short-term and working memory. Using both global and item-by-item metacognitive judgements in a digit span task, we showed that Alzheimer's disease patients are as accurate as older adults in monitoring their performance despite impaired memory. When they have the opportunity to test themselves, or when they have already performed the task, patients are able to use feedback to adjust their metacognitive judgements. Overall, these results show that even for a relatively complex task, patients with Alzheimer's disease are aware of their difficulties in the here-and-now.

Published
2019

7. Metacognition and self-awareness in Multiple Sclerosis

Author

Céline Souchay, Audrey Mazancieux, Chris J. A. Moulin, Olivier Casez, Laboratoire de Psychologie et NeuroCognition (LPNC ), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Institut Universitaire de France (IUF), and Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.)

Subjects
Multiple Sclerosis, Cognitive Neuroscience, Population, Metacognition, Experimental and Cognitive Psychology, Neuropsychological Tests, 050105 experimental psychology, [SCCO]Cognitive science, 03 medical and health sciences, 0302 clinical medicine, medicine, Humans, Memory impairment, 0501 psychology and cognitive sciences, Effects of sleep deprivation on cognitive performance, education, ComputingMilieux_MISCELLANEOUS, education.field_of_study, Anosognosia, 05 social sciences, Neuropsychology, Awareness, medicine.disease, Domain specificity, Self Concept, Neuropsychology and Physiological Psychology, [SCCO.PSYC]Cognitive science/Psychology, Self-awareness, Psychology, 030217 neurology & neurosurgery, Cognitive psychology
Abstract

Although a large range of literature on awareness and metacognition focuses on different neurological populations, little attention has been paid to Multiple Sclerosis (MS). This paper gathers literatures related to studies of anosognosia and the theoretical construct of metacognition which both offer a means to operationalize and measure awareness in MS. We focused on both a clinical concern, regarding the relationship between subjective and objective evolution of cognitive performance, and the theoretical issue of metacognitive processes implicated in disease awareness. We identified 26 papers with findings related to awareness of cognitive impairment in MS using questionnaire-based or performance-based methods. We found support for the idea that the relationship between subjective evaluation and neuropsychological evaluation depends on disease duration and is strongly modulated by other variables, such as mood state. We propose that the metacognitive deficit for memory tasks in this population arises from memory impairment. Finally, we discuss methodological issues, variability in MS patients, and the domain specificity of metacognitive impairment.

Published
2019

8. The Confidence Database

Author

Alan L. F. Lee, Polina Arbuzova, Torin K. Clark, Nadia Haddara, Damian P. Birney, Tricia X. F. Seow, Gerit Pfuhl, Tzu Yu Hsu, Caroline Peters, Jason Samaha, Maxine T. Sherman, David Soto, Maël Lebreton, Michael Pereira, Manuel Rausch, Ji Won Bang, Fuat Balcı, Gabriel Weindel, Karolina M. Lempert, Sabina Gherman, Antonio Martin, Denis O'Hora, Ariel Zylberberg, Başak Akdoğan, Peter D. Kvam, Matt Jaquiery, Gabriel Reyes, Eleanor R. Palser, Marcin Koculak, Audrey Mazancieux, Joshua Calder-Travis, Jeroen J.A. van Boxtel, Andrey Chetverikov, Yalçın Akın Duyan, Chen Song, Liang Luo, Borysław Paulewicz, Medha Shekhar, Vincent de Gardelle, Saeedeh Sadeghi, Kit S. Double, Karen Davranche, Christina Koß, Nathan Faivre, Troy C. Dildine, Sze Chai Kwok, Marios G. Philiastides, Indrit Bègue, Marion Rouault, Kobe Desender, Marta Siedlecka, Zuzanna Skóra, Lauren Y. Atlas, Fernanda Prieto, Xinming Xu, Justin Kantner, Jiwon Yeon, Brian Maniscalco, David Aguilar-Lleyda, Futing Zou, Timothy F. Brady, Xiao Hu, Mahiko Konishi, Julian Matthews, Sai Sun, Sébastien Massoni, William T. Adler, Shuo Wang, Rachel N. Denison, Samuel Recht, Jérôme Sackur, Thibault Gajdos, Kaitlyn Fallow, Michał Wierzchoń, Daniel M. Merfeld, Chien Ming Lo, Elisa Filevich, Iñaki Iturrate, Marine Hainguerlot, Christoph T. Weidemann, Qun Ye, Regan M. Gallagher, Dobromir Rahnev, Georgia Institute of Technology [Atlanta], Universitaetsklinikum Hamburg-Eppendorf = University Medical Center Hamburg-Eppendorf [Hamburg] (UKE), Universiteit Gent = Ghent University [Belgium] (UGENT), Lingnan Normal University, Department of Psychology and Center for Neural Science, New York University, New York, NY, USA, Centre d'économie de la Sorbonne (CES), Université Paris 1 Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS), Columbia University [New York], Bernstein Center for Computational Neuroscience [Berlin], Humboldt-Universität zu Berlin, National Institutes of Health [Bethesda] (NIH), New York University School of Medicine (NYU), New York University School of Medicine, NYU System (NYU)-NYU System (NYU), Geneva University Hospitals and University of Geneva, School of Psychology, The University of Sydney, Department of Psychology (University of California San Diego), University of California [San Diego] (UC San Diego), University of California-University of California, Department of Experimental Psychology, University of Oxford, Oxford, UK, Donders Institute for Brain, Cognition and Behaviour, Radboud university [Nijmegen], Smead Aerospace Engineering Sciences, Centre National de la Recherche Scientifique (CNRS), Aix Marseille Université (AMU), Department of Education, University of Oxford, Applied Economics, Cognitive Psychology, Koç University, Laboratoire de psychologie cognitive (LPC), Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), Laboratoire de Psychologie et NeuroCognition (LPNC ), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Department of Psychology, University of Victoria, School of Psychology, University of Queensland, University of Queensland [Brisbane], Department of Experimental & Applied Psychology, Vrije Universiteit Amsterdam (VUPSY), Paris School of Economics (PSE), École des Ponts ParisTech (ENPC)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris 1 Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS)-École des hautes études en sciences sociales (EHESS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, United Kingdom, The Feinstein Institute for Medical Research, Erasmus University Rotterdam, Graduate Institute of Mind, Brain and Consciousness, Taipei Medical University, Taipei, Taiwan, Capital Normal University [Beijing], California State University [Northridge] (CSUN), Uniwersytet Jagielloński w Krakowie = Jagiellonian University (UJ), Laboratoire de sciences cognitives et psycholinguistique (LSCP), Département d'Etudes Cognitives - ENS Paris (DEC), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS), Department of Psychology, University of Florida, Key Laboratory of Brain Functional Genomics (MOE & STCSM), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China, Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Materials Science, East China Normal University, Swiss Center for Affective Science, University of Pennsylvania [Philadelphia], Collaborative Innovation Center of Assessment toward Basic Education Quality, Beijing (ENCICABEQ), Department of Bioengineering, University of California, Bureau d'Économie Théorique et Appliquée (BETA), Université de Strasbourg (UNISTRA)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), School of Psychological Sciences, Monash University, Ohio State University [Columbus] (OSU), National University of Ireland [Galway] (NUI Galway), University of California [San Francisco] (UCSF), University of California, University College of London [London] (UCL), SWPS University of Social Sciences and Humanities, Partenaires INRAE, Ecole Polytechnique Fédérale de Lausanne (EPFL), University of Glasgow, The Arctic University of Norway (UiT), Universidad del Desarrollo, Catholic University of Eichstätt-Ingolstadt (KU), Laboratoire des systèmes perceptifs (LSP), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Laboratoire d'informatique de l'École polytechnique [Palaiseau] (LIX), Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X), Cornell University [New York], University of California [Santa Cruz] (UCSC), Trinity College Dublin, Sackler Ctr Consciousness Sci, Brighton, E Sussex, University of Sussex, Cardiff University, Basque Ctr Cognit Brain & Language, San Sebastian, Basque Fdn Sci, Ikerbasque, Bilbao, CALTECH, Div Biol, Pasadena, CALTECH, Div Computat & Neural Syst, Pasadena, Monash University [Melbourne], University of Canberra, West Virginia University [Morgantown], Swansea University, East China Normal University [Shangaï] (ECNU), University of Rochester [USA], The organization of the Confidence Database was supported by the National Institute of Mental Health under award number R56MH119189 to D.R., ANR-16-CE28-0002,ImpactMeta,impact de la métacognition sur le comportement(2016), ANR-16-ASTR-0014,MetaStress,Impact du stress sur la décision et la métacognition: applications en aéronautique(2016), Balcı, Fuat (ORCID 0000-0003-3390-9352 & YÖK ID 51269), Duyan, Yalçın Akın, Kvam, Peter D., Rahnev, Dobromir, Desender, Kobe, Lee, Alan L. F., Adler, William T., Aguilar-Lleyda, David, Akdoğan, Başak, Arbuzova, Polina, Atlas, Lauren Y., Bang, Ji Won, Bègue, Indrit, Birney, Damian P, Brady, Timothy F., Calder-Travis, Joshua, Chetverikov, Andrey, Clark, Torin K., Davranche, Karen, Denison, Rachel N., Dildine, Troy C., Double, Kit S., Faivre, Nathan, Fallow, Kaitlyn, Filevich, Elisa, Gajdos, Thibault, Gallagher, Regan M., de Gardelle, Vincent, Gherman, Sabina, Haddara, Nadia, Hainguerlot, Marine, Hsu, Tzu-Yu, Hu, Xiao, Iturrate, Iñaki, Jaquiery, Matt, Kantner, Justin, Koculak, Marcin, Konishi, Mahiko, Koß, Christina, Kwok, Sze Chai, Lebreton, Maël, Lempert, Karolina M., Ming Lo, Chien, Luo, Liang, Maniscalco, Brian, Martin, Antonio, Massoni, Sébastien, Matthews, Julian, Mazancieux, Audrey, Merfeld, Daniel M., O’Hora, Denis, Palser, Eleanor R., Paulewicz, Borysław, Pereira, Michael, Peters, Caroline, Philiastides, Marios G., Pfuhl, Gerit, Prieto, Fernanda, Rausch, Manuel, Recht, Samuel, Reyes, Gabriel, Rouault, Marion, Sackur, Jérôme, Sadeghi, Saeedeh, Samaha, Jason, Seow, Tricia X. F., Shekhar, Medha, Sherman, Maxine T., Siedlecka, Marta, Skóra, Zuzanna, Song, Chen, Soto, David, Sun, Sai, van Boxtel, Jeroen J. A., Wang, Shuo, Weidemann, Christoph T., Weindel, Gabriel, Wierzchoń, Michał, Xu, Xinming, Ye, Qun, Yeon, Jiwon, Zou, Futing, Zylberberg, Ariel, College of Social Sciences and Humanities, Department of Psychology, PSL Univ, Ecole Normale Super, Lab Syst Percetifs, Dept Etud Cognit,CNRS, PSL Univ, Ecole Normale Super, INSERM, Dept Etud Cognit,CNRS,EHESS, École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS), Universiteit Gent = Ghent University (UGENT), Humboldt University Of Berlin, Department of Psychology [Univ California San Diego] (Psycho - UC San Diego), University of California (UC)-University of California (UC), Radboud University [Nijmegen], University of Colorado [Boulder], Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Université Paris 1 Panthéon-Sorbonne (UP1)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École des hautes études en sciences sociales (EHESS)-École des Ponts ParisTech (ENPC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), University of Florida [Gainesville] (UF), University of Pennsylvania, AgroParisTech-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of California [San Francisco] (UC San Francisco), University of California (UC), SWPS University of Social Sciences and Humanities (SWPS), The Arctic University of Norway [Tromsø, Norway] (UiT), University of California [Santa Cruz] (UC Santa Cruz), and Ikerbasque - Basque Foundation for Science

Subjects
Databases, Factual, SIGNAL-DETECTION, Computer science, Datasets as Topic, Social Sciences, Confidence, INSIGHT, computer.software_genre, Signal-detection, Choice, Availability, Recognition, Insight, Choice Behavior, [SCCO]Cognitive science, Behavioral Neuroscience, ddc:616.89, Mental Processes, 0302 clinical medicine, Software, insight, Task Performance and Analysis, Psychology, choice, media_common, 0303 health sciences, Thesaurus (information retrieval), Psychology, Biological, Database, Psychology, Experimental, Cognition, [SHS.ECO]Humanities and Social Sciences/Economics and Finance, 16. Peace & justice, CHOICE, Multidisciplinary Sciences, ddc:128.37, [SCCO.PSYC]Cognitive science/Psychology, VDP::Samfunnsvitenskap: 200::Psykologi: 260, Science & Technology - Other Topics, recognition, Life Sciences & Biomedicine, Adult, Psychometrics, Social Psychology, VDP::Social science: 200::Psychology: 260, media_common.quotation_subject, availability, MEDLINE, Experimental and Cognitive Psychology, Article, Databases, 03 medical and health sciences, Perception, Reaction Time, Humans, Set (psychology), Factual, 030304 developmental biology, Science & Technology, business.industry, Extramural, AVAILABILITY, Neurosciences, RECOGNITION, signal-detection, Psychology, biological, Multidisciplinary sciences, Psychology, experimental, ddc:616.8, Study, Neurosciences & Neurology, Metacognition, business, computer, 030217 neurology & neurosurgery
Abstract

Understanding how people rate their confidence is critical for the characterization of a wide range of perceptual, memory, motor and cognitive processes. To enable the continued exploration of these processes, we created a large database of confidence studies spanning a broad set of paradigms, participant populations and fields of study. The data from each study are structured in a common, easy-to-use format that can be easily imported and analysed using multiple software packages. Each dataset is accompanied by an explanation regarding the nature of the collected data. At the time of publication, the Confidence Database (which is available at ) contained 145 datasets with data from more than 8,700 participants and almost 4 million trials. The database will remain open for new submissions indefinitely and is expected to continue to grow. Here we show the usefulness of this large collection of datasets in four different analyses that provide precise estimations of several foundational confidence-related effects., NIH National Institute of Mental Health (NIMH)

Published
2020

9. The confidence database

Author

Dobromir Rahnev, Kobe Desender, Alan L. F. Lee, William T. Adler, David Aguilar-Lleyda, Başak Akdoğan, Polina Arbuzova, Lauren Yvette Atlas, Fuat Balcı, Ji Won Bang, Indrit Bègue, Damian P. Birney, Timothy F. Brady, Joshua Michael Calder-Travis, Andrey Chetverikov, Torin K Clark, Karen Davranche, Rachel N. Denison, Troy Dildine, Kit S Double, Yalçın Akın Duyan, Nathan Faivre, Kaitlyn Marie Fallow, Elisa Filevich, thibault gajdos, Regan Gallagher, Vincent de Gardelle, Sabina Gherman, Nadia Haddara, marine hainguerlot, Tzu-Yu Hsu, Xiao Hu, Matt Jaquiery, Justin Kantner, Marcin Koculak, Mahiko Konishi, Christina Koß, Peter D. Kvam, Sze Chai Kwok, Maël Lebreton, Karolina Maria Lempert, Chien Ming Lo, Liang Luo, Brian Maniscalco, Antonio Martin, Sébastien Massoni, Julian Matthews, Audrey Mazancieux, Daniel M. Merfeld, Denis O'Hora, Eleanor Palser, Borysław Paulewicz, Michael Pereira, Caroline Peters, Marios G. Philiastides, Gerit Pfuhl, Fernanda Prieto, Manuel Rausch, Samuel Recht, Gabriel Reyes, Marion Rouault, Jérôme Sackur, Saeedeh Sadeghi, Jason Samaha, Tricia Xing Fang Seow, Medha Shekhar, Maxine T Sherman, Marta Siedlecka, Zuzanna Skóra, Chen Song, David Soto, Sai Sun, Jeroen van Boxtel, Shuo Wang, Christoph T. Weidemann, Gabriel Weindel, Michał Wierzchoń, Xinming Xu, Qun Ye, Jiwon Yeon, Futing Zou, and Ariel Zylberberg

Subjects
PsyArXiv|Social and Behavioral Sciences, bepress|Social and Behavioral Sciences, PsyArXiv|Social and Behavioral Sciences|Cognitive Psychology, bepress|Social and Behavioral Sciences|Psychology|Cognitive Psychology
Abstract

Understanding how people rate their confidence is critical for characterizing a wide range of perceptual, memory, motor, and cognitive processes. However, as in many other fields, progress has been slowed by the difficulty of collecting new data and the unavailability of existing data. To address this issue, we created a large database of confidence studies spanning a broad set of paradigms, participant populations, and fields of study. The data from each study are structured in a common, easy-to-use format that can be easily imported and analyzed in multiple software packages. Each dataset is further accompanied by an explanation regarding the nature of the collected data. At the time of publication, the Confidence Database (available at osf.io/s46pr) contained 145 datasets with data from over 8,700 participants and almost 4 million trials. The database will remain open for new submissions indefinitely and is expected to continue to grow. We show the usefulness of this large collection of datasets in four different analyses that provide precise estimation for several foundational confidence-related effects and lead to new findings that depend on the availability of large quantity of data. This Confidence Database will continue to enable new discoveries and can serve as a blueprint for similar databases in related fields.

Published
2019

10. Perceptual identification task points to continuity between implicit memory and recall

Author

Audrey Mazancieux, Tifany Pandiani, Chris J. A. Moulin, Laboratoire de Psychologie et NeuroCognition (LPNC ), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Institut Universitaire de France (IUF), and Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.)

Subjects
Linguistics and Language, Cognitive Neuroscience, media_common.quotation_subject, Experimental and Cognitive Psychology, Context (language use), 050105 experimental psychology, Language and Linguistics, Task (project management), 03 medical and health sciences, [SCCO]Cognitive science, 0302 clinical medicine, Memory, Perception, Developmental and Educational Psychology, Explicit memory, Humans, Semantic memory, 0501 psychology and cognitive sciences, General knowledge, ComputingMilieux_MISCELLANEOUS, media_common, Recall, 05 social sciences, PsyArXiv|Social and Behavioral Sciences|Cognitive Psychology|Memory, Recognition, Psychology, Semantics, bepress|Social and Behavioral Sciences|Psychology|Cognitive Psychology, PsyArXiv|Social and Behavioral Sciences, Mental Recall, bepress|Social and Behavioral Sciences, PsyArXiv|Social and Behavioral Sciences|Cognitive Psychology, Implicit memory, Psychology, 030217 neurology & neurosurgery, Cognitive psychology
Abstract

Adopting a continuous identification task (CID-R) with embedded questions about prior occurrence, recent research has proposed that implicit and explicit memory are underpinned by a single memory system, since there is a systematic relationship between implicit memory (measured by identification) and explicit memory (measured by subjective report of recognition; for an example, see Berry, Shanks, & Henson, 2008). We were interested in whether this pattern would extend to recall of information from a study phase (Experiment 1) or recall from semantic memory (Experiment 2). We developed a degraded face identification version of the CID-R task using Gaussian blur. We reproduced previous results regarding the relationship between explicit responses on the recognition task (old/new) and stimuli identification, pointing to a continuity between explicit and implicit memory. Critically, we also found that the strength of the implicit effect (i.e., stimuli identification) was predicted by the accuracy in recall (retrieval of context in Experiment 1 and correct responses to general knowledge questions about the face in Experiment 2). Our results support the idea that memory is unidimensional and related to memory trace strength; both for recall and recognition, and interestingly, for semantic and episodic recall.

Published
2019

11. Retrospective confidence judgments across tasks: domain-general processes underlying metacognitive accuracy

Author

Audrey Mazancieux, Céline Souchay, Stephen M. Fleming, and Chris J. A. Moulin

Subjects
business.industry, Metacognition, computer.software_genre, Domain (software engineering), bepress|Social and Behavioral Sciences|Psychology|Cognitive Psychology, PsyArXiv|Social and Behavioral Sciences, Text mining, bepress|Social and Behavioral Sciences, PsyArXiv|Social and Behavioral Sciences|Cognitive Psychology, Artificial intelligence, business, Psychology, computer, Natural language processing
Abstract

Is metacognition a general resource shared across domains? Previous research has documented consistent biases in confidence judgments across tasks. However, the ability to discriminate between correct and incorrect answers (metacognitive sensitivity) is often held to be domain-specific, based on non-significant correlations across domains. Such null findings may be due to low statistical power and differences in task structure or performance, thereby masking a latent domain-generality in metacognition. We examined across-domain correlations in bias and sensitivity in a large sample (N=181). Participants performed four two-alternative-forced-choice tasks (episodic memory, semantic memory, executive function, and visual perception) with trial-by-trial confidence judgments. We found significant correlations between metacognitive biases across tasks. By applying a hierarchical Bayesian model to estimate cross-task covariance, we found significant correlations in metacognitive efficiency (meta-d’/d’) across tasks, even for pairs of tasks in which first-order performance was not correlated. This suggests a domain-general resource supporting metacognitive sensitivity in retrospective confidence.

Published
2018

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