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My research has
two objectives :
To develop knowledge of the cognifive processes underpinning
judgment, risk communication, and decision-making.
To use this knowledge in the design of aids and learning tools
for improving judgments and decisions in complex work situations.
This research is organised around three themes:
The first theme is concerned with the cognitive
processes involved in the production of posterior probability
judgments.
This work follows directly from my doctoral work. A first set
of studies aim to investigate the role of the task representation
and comprehension in the production of these judgements. This
analysis should enable a better understanding of the origin of
the judgment biases usually observed. It should also lead to the
development of targeted and effective aids for improving these
judgements.
This work was financed by a study grant from the Fyssen
Fondation (Paris).
Within this theme, I also work on a project aiming to complete
my doctoral work on the role of representativeness on posterior
probability judgements. In a study of individual responses patterns
I found that only 10% of individuals systematically use the representativness
heuristic. The aim of this work will therefore be to establish
the judgment strategies used by individuals who do not solely
rely on the representativeness heuristic to make their judgements.
The second theme concerns the role of pragmatic
inferences in risk communication. I am working with Pr. Denis
Hilton (Université de Toulouse Le Mirail) on a study of
the pragmatic function of probability words and quantifiers in
medical and commercial settings. I am also working with Jean-Francois
Bonnefon (Université de Toulouse Le Mirail) on a set of
studies showing that probability words can be used as a politness
marker rather than as devices for communicating vague uncertainty.
The third theme concerns the study of judgments
and decisions as they occur in complex work situations.
My fundamental and applied research work is essentially motivated
by the aim to help improving judgments and decisions in complex
situations.
For example, I was a consultant psychologist on the BEEP research
project (Bayesian Elicitation of Experts’ Probabilities),
led by Pr. Tony O’Hagan and funded by the British National
Health Institute (NHS). This project aimed to define the best procedures
for eliciting expert knowledge from medical doctors, such as probability
distributions, while controlling for judgement biases.
I also work in collaboration with Pr. Laurence Alison (INCSCID,
International Centre for the Study of Critical Incident Decision
Making) and Ciaran O’Keeffe on a project aiming to study
the impact of the hindsight bias and accounting on police officers
decision-making in real critical incidents (shooting incidents,
criminal investigations, hostage negotations).
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