Data Visualization

Our work on traces or annotation visualization, as well as on dashboards, naturally led to officially work on (and teach!) data visualization and visual analytics.

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  ECBridge: Education-Curation Bridge

  Data Visualization Learning Analytics Technology-Enhanced Learning

  EC Bridge aims to create software linking platforms dedicated to the world of education and cultural mediation, to offer cultural institutions support for new educational experiences linking schools, museums, and families. In this project we are implicated in the scenarios in the design of trace-based dashboard for learners, curators, and students.

  Details

  Partners: Mazedia, Maskott, LS2N, Ifé ENS-Lyon, Cité des Télécoms, Musée gallo-romain de Fourvière
  Funding: FUI 23
  Beginning: 2017-09-01
  End: 2019-12-31
  
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  eFIL: e-Feedback for interactive Lecture

  Data Visualization Learning Analytics Reflective Systems Technology-Enhanced Learning

  The project aims at experimenting in lab / classroom the usage of a handwritten note-taking tablet application, that also allows the creation of pedagogical activities (quiz, whiteboards). We want to study the impact of technology instrumentation on active learning methods, and the usage of activity traces for analysis and production of synchronous and post-hoc activity visualisation dashboards, mainly targeted at teachers.

  Details

  Partners: LS2N, IntuiDoc, LP3C
  Funding: Cominlabs Labex
  Beginning: 2017-10-01
  End: 2019-12-31
  Website: https://efil.cominlabs.u-bretagneloire.fr/fr
  
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  EPISTEME: Transdisciplinary epistemology of digital technologies

  Data Visualization Digital Instruments Interpretation Systems Reflective Systems Trace-based Activity Analysis

  Work on data analysis of astrophysical research activity, producing datavisualizations that highligh different processes related to observations, the organization of working groups, as well as the software "black boxes".

  Details

  Partners: IRI Centre Pompidou, LINA, LIRIS, CHS Paris 1, CEA Irfu, France Televisions, Mediapart
  Funding: French National Research Agency (ANR)
  Beginning: 2014-10-01
  End: 2018-02-28
  Website: https://projet-episteme.org/
  

  Additional comments

  The aim of this transdisciplinary program EPISTEME is first to identify the most characteristic aspects of the transformation of two chosen disciplines (astrophysics, history) in their relations to their objects under the effect of digital formalization. The other goal is to design instruments for the scientific communities of peers that allow contributive categorization, to support debates and controversies, based on the concept of transindividuation, and to articulate bottom-up -stemming from individual research activities- and top down processes -more or less local, laboratory-, school- or discipline-wide certification processes from peer community debates.

  We developed the Herschel Mission Explorer. We are currently working on a second version that will feature a general design overhaul.

  Additional illustrations

  
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  IDEA: Immersive Data Exploration and Analysis

  Data Visualization Immersive Analytics Virtual Reality

  IDEA explores immersive analytics by proposing original representations, interaction modalities, and evaluations means. It focuses on multi-dimensional data and HMD-based virtual representations. This project has led to several prototypes, it now includes the PhD thesis of Adrien Fonnet.

  Details

  Partners: LS2N, Readi Design Lab
  Funding: West Creative Industry cluster
  Cofunding: University of Nantes / Ministry of Higher Education and Research
  Beginning: 2016-10-01
  End: 2020-08-31
  

  Related publications

  • Adrien Fonnet, Toinon Vigier, Grégoire Cliquet, Fabien Picarougne, Yannick Prié. (2018) Axes and Coordinate Systems Representations for Immersive Analytics of Multi-Dimensional Data in 4th International Symposium on Big Data Visual and Immersive Analytics BDVA 2018, Konstanz, Germany, October 2018 doi 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.
  • Adrien Fonnet, Florian Melki, Yannick Prié, Fabien Picarougne, Grégoire Cliquet. (2018) Immersive Data Exploration and Analysis in Student Interaction Design Research conference, May 2018, Helsinki, Finland. Show abstract This paper belongs to the emerging immersive analytics research field. It presents a system for exploratory analysis of multi-dimensional data focusing on providing freedom of locomotion while remaining comfortable for long user session. The solution allows to investigate temporal traces through a 3D scatterplot using a cylindrical coordinate system. Users are free to move inside the tracked area either standing up or seated in a mobile chair. A limited user study (n=6) has been conducted to investigate if the designed solution was deemed appropriate for mobility and user comfort.
  • Grégoire Cliquet, Matthieu Perreira, Fabien Picarougne, Yannick Prié, Toinon Vigier. (2017) Towards HMD-based Immersive Analytics in Immersive analytics Workshop, IEEE VIS 2017, Phoenix, Arizona, United States. Show abstract Advances in 3D hardware and software have led to increasingly cheaper and simple-to-use immersive virtual reality systems that can provide real-time interactive 3D data representation. The immersive analytics field is developing as the newest avatar of 3D visual analyt- ics, which may relaunch the long enduring 2D vs 3D visualization debate. However, the terms of the debate have changed: leveraging 3D human perception within virtual environments is now easier, and the immersive quality of today’s rendering is sufficient enough for researchers to concentrate on testing and designing immersive data representation and interaction rather than on technological problems. In this position paper we propose a short historical perspective on the use of immersive technologies for visual analytics and on the 2D vs 3D debate. We stress out five principles that we think should be followed to explore the HMD-based visual analytics design space, before introducing ongoing work within the IDEA project.

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  PAPM: Progressive Analytics and Pattern Mining

  Data Visualization Interpretation Systems Progressive analytics

  The project concentrates on the main difficulty of interactive mining, which is not post-mining interaction, nor pre-interaction mining, rather interaction and mining occurring at the same time. We focus on interaction for progressive analytics, our application is in progressive pattern mining of frequent event sequences of user activity traces.

  Details

  Partners: LS2N
  Funding: PhD funding
  Beginning: 2015-10-01
  End: 2018-12-31
  

  Related publications

  • Vincent Raveneau, Julien Blanchard, Yannick Prié. (2018) Progressive sequential pattern mining: steerable visual exploration of patterns with PPMT 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.
  • Vincent Raveneau, Julien Blanchard, Yannick Prié. (2016) Towards an open-source tool for pattern-based progressive analytics on interaction traces in Workshop "Event Event" at IEEE VIS 2016, Baltimore. 3p. Show abstract Due to the ever increasing use of data analysis tools, their performance has become an important scientific question, notably regarding the tools’ ability to assist the analyst using them. We present our first proposals toward building a data analysis tool allowing an analyst to interact with his pattern mining algorithm, while working with interaction traces. First, we present an architecture for such a system, based on the ideas of progressive analytics. We then present our work toward a first implementation of this architecture
  • Katy Tcha-Tokey, Toinon Vigier, Yannick Prié. (2016) Towards an Affordance-Based Approach for Scenario Modeling and Experience Assessment in VR in IEEE VIS 2016, Baltimore. oct. 2016. 2p (Poster) Show abstract Due to the ever increasing use of data analysis tools, their performance has become an important scientific question, notably regarding the tools’ ability to assist the analyst using them. We present our first proposals toward building a data analysis tool allowing an analyst to interact with his data mining algorithm, while working with interaction traces. First, we present an architecture for such a system, based on the ideas of progressive analytics. We then present the challenges that will need to be faced in future work.

  Related software

  • PPMT

  Additional illustrations

  

Select another theme:    Accessibility Affordances Data Visualization Digital Instruments Document Engineering Experience analysis and modelling Hypervideos Immersive Analytics Interpretation Systems Knowledge Engineering Learning Analytics Patient Experience Progressive analytics Reflective Systems Technology-Enhanced Learning Trace-based Activity Analysis Trace-based Systems VR and Psychotherapy Video Annotations Virtual Reality