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
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 ).
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
- 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.