Back to Search Start Over

Gazealytics: A Unified and Flexible Visual Toolkit for Exploratory and Comparative Gaze Analysis

Authors :
Kun-Ting Chen
Arnaud Prouzeau
Joshua Langmead
Ryan T Whitelock-Jones
Lee Lawrence
Tim Dwyer
Christophe Hurter
Daniel Weiskopf
Sarah Goodwin
University of South Australia [Adelaide]
Popular interaction with 3d content (Potioc)
Laboratoire Bordelais de Recherche en Informatique (LaBRI)
Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Inria Bordeaux - Sud-Ouest
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
Monash University [Melbourne]
Monash university
Ecole Nationale de l'Aviation Civile (ENAC)
Visualization Research Center [Stuttgart] (VISUS)
Universität Stuttgart [Stuttgart]
Source :
ETRA 2023-ACM Symposium on Eye Tracking Research and Applications, ETRA 2023-ACM Symposium on Eye Tracking Research and Applications, May 2023, Tubingen, Germany. pp.1-7, ⟨10.1145/3588015.3589844⟩
Publication Year :
2023
Publisher :
ACM, 2023.

Abstract

International audience; We present a novel, web-based visual eye-tracking analytics tool called Gazealytics. Our open-source toolkit features a unified combination of gaze analytics features that support flexible exploratory analysis, along with annotation of areas of interest (AOI) and filter options based on multiple criteria to visually analyse eye tracking data across time and space. Gazealytics features coordinated views unifying spatiotemporal exploration of fixations and scanpaths for various analytical tasks. A novel matrix representation allows analysis of relationships between such spatial or temporal features. Data can be grouped across samples, user-defined AOIs or time windows of interest (TWIs) to support aggregate or filtered analysis of gaze activity. This approach exceeds the capabilities of existing systems by supporting flexible comparison between and within subjects, hypothesis generation, data analysis and communication of insights. We demonstrate in a walkthrough that Gazealytics supports multiple types of eye tracking datasets and analytical tasks.

Details

Database :
OpenAIRE
Journal :
2023 Symposium on Eye Tracking Research and Applications
Accession number :
edsair.doi.dedup.....59b90e53bc2dac35a9e5edc41a27e8b7
Full Text :
https://doi.org/10.1145/3588015.3589844