What I do

My research interests include Human-Computer Interaction, Information Visualization and Data Analysis, User Experience Modeling, Reflective technologies, Interpretation systems, or Document and Knowledge Engineering. Application domains are related to education, culture, health, humanities… I focus on interdisciplinary approaches for the study of human-machine coupling and co-development and collaborate with people from sociology, psychology, ergonomy, anthropology, education science, philosophy, design, medecine, focusing on real world activities.

News (all)

Jan. 19: Official announcement of the opening of our Master’s Degree in Digital Cultures. The interdisciplinary program on Digital Cultures we have been working on for several years will open in sept. 2019 in University of Nantes, in a brand new building at the center of the creative district. Official announcement and program (in french)

Aug. 18: New website!. A brand new website is available. It is based on Jekill, should be readable on any device, has some dynamic flavor. It is the result of an effort to present my various interdisciplinary research activities in a hopefully more comprehensive way than the previous site (still available here).

Aug. 18: Enaction schools websites. Between 2006 and 2009 four summer schools on “Enaction and Cognitive Science” have been organized. The archive of their websites, with a lot of documents, is available here.

Recent publications (all)

Leveraging Learners’ Activity Logs for Course Reading Analytics Using Session-Based Indicators (2018) Madjid Sadallah, Benoît Encelle, Azze-Eddine Maredj, Yannick Prié. in International Journal of Technology Enhanced Learning (to appear) Show abstract A challenge that course authors face when reviewing their contents is to detect how to improve their courses in order to meet the expectations of their learners. In this paper, we propose an analytical approach that exploits learners’ logs of reading to provide authors with insightful data about the consumption of their courses. We first model reading activity using the concept of reading-session and propose a new and efficient session identification. We then elaborate a list of indicators computed using learners’ reading sessions that allow to represent their behaviour and to infer their needs. We evaluate our proposals with course authors and learners using logs from a major e-learning platform. Interesting results were found. This demonstrates the effectiveness of the approach in identifying aspects and parts of a course that may prevent it from being easily read and understood, and for guiding the authors through the analysis and review tasks.

Progressive sequential pattern mining: steerable visual exploration of patterns with PPMT (2018) Vincent Raveneau, Julien Blanchard, Yannick Prié. in Visualization in Data Science (VDS at IEEE VIS 2018), Berlin, Germany, 2018. [AR:30%] Show abstract The progressive visual analytics (PVA) paradigm has been proposed to describe visual analytics systems whose main goal is to reach a thorough coupling between the analyst and her system by getting rid of waiting periods classically encountered during data processing. PVA systems use algorithms that both provide intermediate results throughout their execution, and are steerable by the analyst to change the strategy used to perform the remaining computation. Our focus is on progressive sequential pattern mining, as in the seminal work of Stolper et al. (2014). Here we go further mainly by considering the temporal nature of patterns related to their occurrences. We propose a pattern-oriented data model, a pattern analysis task model, and guidelines for designing progressive pattern mining algorithms. We introduce PPMT, a tool to support an analyst progressively explore activity traces, based on a modification of the GSP algorithm. We evaluate our proposal on the technical performances of our progressive algorithm, and on the effect of steering on analysts’ performances.

Axes and Coordinate Systems Representations for Immersive Analytics of Multi-Dimensional Data (2018) Adrien Fonnet, Toinon Vigier, Grégoire Cliquet, Fabien Picarougne, Yannick Prié. in 4th International Symposium on Big Data Visual and Immersive Analytics BDVA 2018, Konstanz, Germany, October 2018 Show abstract Axes are the main components of coordinate systems representations. They play a critical role for the visual analysis of multi-dimensional data. However their representation seems to have always be considered self evident, with oriented lines crossing at an origin, completed with labels such as ticks and names. Such classical representation show limits when it comes 3D visualization and immersive analytic (IA), mainly because orthogonal projection of points on linear axes is hard in a 3d environment, and because the user can move therefore the axes can get out of his field of view. In this paper we propose a task-based definition of axes and coordinate systems representation, as well as a tentative design space for coordinates systems representation in immersion. We also present an exploratory user study we carried out to compare three grid-based representations of coordinate systems for multidimensional data analysis with 3D scatterplots.

Suivre l’engagement des apprenants dans l’activité de construction de cartes mentales (2018) Rubiela Carrillo, Yannick Prié, Leslie Guillaume, Elise Lavoué. in Sciences et Technologies de l’Information et de la Communication pour l’Éducation et la Formation (STICEF). 25(1). Show abstract Notre travail a pour objectif d’aider les enseignants à suivre l’engagement de leurs apprenants pendant des activités de construction de cartes mentales. Les cartes mentales sont utilisées pour aider les apprenants à organiser les contenus étudiés en classe. Étant donnée la complexité des cartes, les enseignants ont besoin d’outils qui assistent la compréhension des cartes produites et de leur processus de construction. Nous avons défini avec des enseignants un ensemble d’indicateurs d’engagement, reposant sur les traces d’interaction des apprenants. Ces indicateurs ont été implémentés dans un tableau de bord à destination des enseignants. Cet article présente la première version du tableau de bord implémenté, sa conception, son implémentation, et les résultats d’une évaluation sur les aspects d’utilisabilité et utilité.