LandRate toolbox is a complete post-experimental eye tracking analysis tool developed using the scripting language of MATLAB from MathWorks. The toolbox has been designed to be adapted in every eye tracking device, while its execution is completed in one simple step. LandRate toolbox constitutes an extension of EyeMMV toolbox (Krassanakis et al., 2014) and supports the generation of a full analysis report (including heatmaps, scanpath visualizations and AOI analysis) based on experimental data collected through eye tracking methods. Additionally, the toolbox supports the computation of a new aggregated index (LRI - Landscape Rating Index) appropriate for the performance of landscape rating procedures (Krassanakis et al., 2018). This index combines both quantitative eye tracking metrics and experts’ opinions while it can be easily adapted in similar fields.
A list of demo data is available with LandRate toolbox in order to help you to prepare your experimental data set before running the toolbox. Please, place your input files at the same folder with LandRate's functions. After the preparation of your data, please execute "LandRate" m-file in order to run the toolbox.
The source code of LandRate toolbox is freely distributed under the 3rd version of GNU General Public License as published by the Free Software Foundation (GPLv3). You can receive a copy of the GNU General Public License by the file LICENSE.txt.
A full description of LandRate toolbox is cited in the paper below: Krassanakis, V., Misthos, M. L., & Menegaki, M. (2018). LandRate toolbox: an adaptable tool for eye movement analysis and landscape rating. Proceedings of the 3rd International Workshop on Eye Tracking for Spatial Research (in conjunction with the 14th Conference on Location Based Services 2018), Zurich, Switcherland.
The fixation detection algorithm of LandRate toolbox (based on EyeMMV toolbox) is fully described in this paper: Krassanakis, V., Filippakopoulou, V., & Nakos, B. (2014). EyeMMV toolbox: An eye movement post-analysis tool based on a two-step spatial dispersion threshold for fixation identification. Journal of Eye Movement Research, 7(1): 1, 1-10.
(Please cite the above papers as reference to LandRate toolbox)
For further information, please email me: <krasanakisv[at]gmail.com>, <krasvas[at]mail.ntua.gr>, or <krasvas[at]teiath.gr>.