LAboratoire de Psychologie
Sociale et COgnitive

L'étude de la cognition depuis ses bases cérébrales jusqu'à sa régulation sous l'influence de l'environnement social

Davranche, K., Carbonnell, L., Belletier, C., Vidal, F., Huguet, P., Gajdos, T., & Hasbroucq, T (in press). A Simon-like effect in Go/NoGo tasks performed in isolation. Psychonomic Bulletin and Review.
Spatola N., Belletier C., Normand A., Chausse P., Monceau S., Augustinova M., Barra V., Huguet P.*, & Ferrand L.*. (2018). * equal contribution. Not as bad as it seems : When the presence of a threatening humanoid robot improves human performance. Science Robotics, 3, eaat5843. doi : 10.1126/scirobotics.aat5843
Plancher, G., Mazères, F., & Vallet, G.T. (In press). When motion improves working memory, Memory.
08/11/18 – Francis EUSTACHE

Les aléas des mémoires individuelles et collectives : le programme de recherche 13-Novembre (Amphi. Paul Collomp, 11h30-12h30)


Accueil > Séminaires

07/12/2017 – Royce ANDERS

par Guillaume VALLET - publié le , mis à jour le

Advanced Signal Detection Theory for Social and Experimental Psychology : Empirical Cognitive Models for Performance and Questionnaire Data


Date : 07 décembre 2017
Heure : 10h30 - 12h00
Lieu : Amphithéâtre Paul Collomp

Résumé de la conférence

Classical signal detection theory (such as signal and noise distribution paradigms) has come a long way over the previous 20 years. Particularly, this framework has been largely integrated into what I will refer to as empirical cognitive models. These models are used to learn more about the latent cognitive processes that underly observed performance from psychological experiments. These include high-performance models that can account for (or measure) human factors in the response process. Furthermore, developments in hierarchical Bayesian analysis has empowered these models to provide even stronger analyses than previously possible. In this seminar, I will review and demonstrate these concepts by going over two of my principal involvements in hierarchical Bayesian cognitive modelling to (1) social / anthropological applications and (2) experimental / psycholinguistic applications. The first of these approaches is excellent for learning more about the latent consensuses and subclusters from questionnnaire or knowledge-based studies. The second set of approaches is strong for learning more about performance (accuracy) and latency data. I may also discuss their implication in neuroscience studies.


Dr. Royce ANDERS
Université Aix-Marseille
[Site internet]