In the context of the IDEA project (Immersive Data Exploration and Analysis), we propose a M2 internship (4-6 months starting feb/march 2018) on the topic of the representation and analysis of eye-tracking data recorded from within a Head Mounted Display during an immersive experience.
Keywords: Eye tracking, virtual reality, HMD, experimental methodologies, data analysis
Contact: Matthieu Perreira Da Silva (Ass. Prof.), email@example.com
Location: Image Perception Interaction team, LS2N, Nantes (France)
Image Perception Interaction research team, LS2N (Polytech Nantes, Université de Nantes, France)
4 to 6 months (from February /March 2018)
550 - 600€ per month
This internship is part of a larger project, Immersive Data Exploration and Analysis (IDEA) funded by the West Creative Industries Regional cluster, which implicates researchers from the LS2N lab (Image, Perception, Interaction and Data User Knowledge groups) and the School of Design of Nantes Atlantique.
This project focuses on immersive analytics. It aims at studying the use of new interactive and immersive technologies and new visualizations for the analysis of abstract data, as well as new experimental methodologies to evaluate human perception and computer human interactions in this context.
The recent availability of eye tracking technologies in Head Mounted Display (HMD) opens up new possibilities to use visual attention to analyze user behavior during immersive experience.
However, this extension is a challenge for the eye-tracking community as the study of visual attention in VR environment still remains an open research question from both theoretical (e.g. gaze data representation in 3D, scanpath comparison methods) and methodological (e.g. experimental protocols) points of view.
The objective of this internship is to propose new experimental methodologies and analytical tools to for the study of visual attention in an immersive and interactive context of visualization with HMD. These proposals should be tested in a specific use case of immersive data visualization, in collaboration with a PhD student working on Human Computer Interaction.
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Dewhurst R, Nyström M, Jarodzka H, et al. It depends on how you look at it: Scanpath comparison in multiple dimensions with MultiMatch, a vector-based approach. Behavior research methods, 2012, 44(4).
Duchowski A T, Driver J, Jolaoso S, et al. Scanpath comparison revisited. Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications. ACM, 2010: 219-226.
Maurus M, Hammer J H, Beyerer J. Realistic heatmap visualization for interactive analysis of 3D gaze data. Proceedings of the Symposium on Eye Tracking Research and Applications. ACM, 2014.
K. Kurzhals, B. Fisher, M. Burch, and D. Weiskopf. Evaluating visual analytics with eye tracking. In BELIV Workshop, 2014.
Y. Rai, J. Gutiérrez, and P. Le Callet. A Dataset of Head and Eye Movements for 360 Degree Images. In Proc. 8th Conf. on Multimedia Systems, MMSys’17, ACM, New York, NY, USA, 2017.
Good level in computer science or signal processing , interest in experimental sciences.
Application must be sent to Prof. Matthieu Perreira Da Silva (CV + cover letter + grades ).
(c) GdR 720 ISIS - CNRS - 2011-2018.