Quentin F. Gronau

From Psychological States to Survey Responses: A Theory of Latent States and Response Style

Jess Grimmond, Scott D. Brown, Quentin F. Gronau, Guy Hawkins

Understanding human behaviour, thoughts, and experiences often relies on self-report measures,yet responses frequently conflate multiple sources of information. We propose a theory in whichself-reported responses reflect both the constructs being assessed (latent states) and howrespondents choose to communicate that information (response style). …

From Psychological States to Survey Responses: A Theory of Latent States and Response Style

Scott Brown, Quentin F. Gronau, Jess Grimmond, Guy Hawkins

Understanding human behaviour, thoughts, and experiences often relies on self-report measures, yet responses frequently conflate multiple sources of information. We propose a theory in which self-reported responses reflect both the constructs being assessed (latent states) and how respondents choose to communicate that …

Understanding Dynamic Trust Changes in AI-Assisted Decision Making

Jonathon Love, Scott Brown, Ami Eidels, Quentin F. Gronau

Hierarchical Bayesian estimation for cognitive models using Particle Metropolis within Gibbs (PMwG): A tutorial

Caroline Kühne, Quentin F. Gronau, Reilly James Innes, Gavin J. Cooper et autres

au, nl (code pays fourni par la source)

PMwG Tutorial Paper

Quentin F. Gronau, Caroline Kuhne, Niek Stevenson, Reilly Innes et autres

The Principle of Redundant Reflection

Martin Metodiev, Maarten Marsman, Lourens Waldorp, Quentin F. Gronau et autres

The fact that redundant information does not update a rational belief implies that rational beliefs are updated using Bayes rule. In the framework of Hild (1998a), this is true under mild conditions for discrete, continuous, and arbitrary measure spaces. We prove this …

fr, nl, au (code pays fourni par la source)

In human–machine trust, humans rely on a simple averaging strategy

Jonathon Love, Quentin F. Gronau, G.S. Palmer, Ami Eidels et autres

Abstract With the growing role of artificial intelligence (AI) in our lives, attention is increasingly turning to the way that humans and AI work together. A key aspect of human–AI collaboration is how people integrate judgements or recommendations from machine agents, when …

au (code pays fourni par la source)

Efficiency in redundancy

Quentin F. Gronau, Rani Moran, Ami Eidels

In engineering, redundancy is the duplication of vital systems for use in the event of failure. In studies of human cognition, redundancy often refers to the duplication of the signal. Scores of studies have shown the salutary effects of a combined auditory …

au, gb (code pays fourni par la source)

Using group level factor models to resolve high dimensionality in model-based sampling.

Niek Stevenson, Reilly James Innes, Quentin F. Gronau, Steven Miletić et autres

Joint modeling of decisions and neural activation poses the potential to provide significant advances in linking brain and behavior. However, methods of joint modeling have been limited by difficulties in estimation, often due to high dimensionality and simultaneous estimation challenges. In the …

nl (code pays fourni par la source)

J. B. S. Haldane’s Rule of Succession

Eric‐Jan Wagenmakers, Sandy L. Zabell, Quentin F. Gronau

After Bayes, the oldest Bayesian account of enumerative induction is given by Laplace’s so-called rule of succession: if all n observed instances of a phenomenon to date exhibit a given character, the probability that the next instance of that phenomenon will also …

nl, us, au (code pays fourni par la source)

DMC: Dynamic Models of Choice

Dora Matzke, Andrew Heathcote, Quentin F. Gronau, Angus Reynolds et autres

Repository for the DMC source code, along with tutorial lessons and their data files. NOTE WE ARE MOVING TO A NEW SAMPLER BUT WILL CONTINUE TO SUPPORT DMC UNTIL THE NEW SAMPLER HAS ALL OF THE MAIN DMC MODELS IMPLEMENTED, EMAIL ajheathcote@gmail.com …

How do you know that you don’t know?

Quentin F. Gronau, Mark Steyvers, Scott D. Brown

Whenever someone in a team tries to help others, it is crucial that they have some understanding of other team members’ goals. In modern teams, this applies equally to human and artificial (“bot”) assistants. Understanding when one does not know something is …

au, us (code pays fourni par la source)