Postdoctoral position at CNRS HEUDIASYC 1 year
Subject: Evaluation of an Adaptive Training Virtual Environment
Dates: 12 months, starting before December 6, 2017
Location:
UMR CNRS 7253 Heudiasyc Sorbonne Universités, Université de technologie
de Compiègne Génie Informatique - 57 avenue de Landshut 60203 Compiègne
(France)
Phone +33 (3) 44 23 45 47 (45mn from Paris by train )
We
are inviting applications for one postdoctoral position on the
Evaluation of an Adaptive Training Virtual Environment at CNRS (https://www.hds.utc.fr/).
The position is for one year, starting before 6th December 2017. The successful candidate will join the
Heudiasyc research team (https://www.hds.utc.fr/).) at the
CNRS premises within the Campus of the UTC (http://www.utc.fr/the_university/index.php), in Compiegne, France. The research
activity will be carried out under the supervision of Indira Thouvenin (http://www.hds.utc.fr/~ithouven ). The post doc is funded by the Region Hauts de
France.
Description of the mission
Context
Feedback
selection is a major issue for intelligent virtual environments for
training. Expert knowledge provides useful insight, but it can be
difficult to collect. Furthermore,
the influence of a specific type of feedback may vary across trainees
and over training, which is rarely reflected in expert knowledge. As
part of an automatic gesture training system, we modelled the
co-evolution between a trainee and a training environment.
We consider trainees by their levels in every dimensions of the task,
and the training environment as the relevance of every element in its
set of feedback. Over time, this co-evolution is reflected by trainee
successive performances, and changes in the feedback
selection. We have been working on technical gesture training both for
industrial or fundamental purposes (KIVA and DESCRIPT projects ).
Objective
The
goal of this post-doc is to evaluate the impact of adaptation in
training virtual environments. We believe that co-evolution based on the
enaction theory has a positive impact
on training. The candidate will design an experiment in order to
validate the model. Two platforms are available to conduct this
experiment: a 2D platform (PhD Remy Frenoy) and a 3D platform (extension
of the model in a CAVE, PhD Florian Jeanne). One major
issue is the role of feedback for controlling the interaction. A second
issue is the impact of giving an importance to errors in training, in
order to propose a flexible, personalized and easy of use interaction.
Requirements for this position include:
-
a PhD in psychology, cognitive sciences, neurosciences or human factors
for CHI - a strong background as an experiment-planner, organizer and
performer - strong knowledge and
experience for performance evaluation and data analysis - a good
publication record in related conferences and journals - fluency in
written and spoken English, spoken French will be considered - good
relational and oratory skills
Applications are to be sent to both indira.thouvenin@utc.fr and service.rh-recrutement@utc.fr:
•
one unique file or a file archive with a short cover letter indicating
the candidate's research interests, achievements to date and vision for
the future, a CV including a complete
list of publications, the contact details of two/three referees
• objet: [recrutement post doc in VR]
The deadline for applying is on 1st october, 2107.
Professor/ Enseignant-Chercheur HDR /
http://www.hds.utc.fr/~ithouven
UMR CNRS 7253 Heudiasyc
Sorbonne Universités, Université de technologie de Compiègne
Génie Informatique - bureau 141
57 avenue de Landshut 60203 Compiègne (France)
Phone +33 (3) 44 23 45 47
57 avenue de Landshut 60203 Compiègne (France)
