Abstract
The present study introduces a new MATLAB toolbox, called MatMouse, suitable for the performance of experimental studies based on mouse movements tracking and analysis. MatMouse supports the implementation of task-based visual search experiments. The proposed toolbox provides specific functions which can be utilized for the experimental building and mouse tracking processes, the analysis of the recorded data in specific metrics, the production of related visualizations, as well as for the generation of statistical grayscale heatmaps which could serve as an objective ground truth product. MatMouse can be executed as a standalone package or integrated in existing MATLAB scripts and/or toolboxes. In order to highlight the functionalities of the introduced toolbox, a complete case study example is presented. MatMouse is freely distributed to the scientific community under the third version of GNU General Public License (GPL v3) on GitHub platform.
Highlights
The examination of visual behavior and reaction requires the performance of scientific experimentation using different types of visual stimuli
Simple experimental techniques are usually based on reaction time measures [5] while more sophisticated ones involve the analysis of eye movements, methods used for testing brain activity, or combinations of several technical approaches where information collected by eye tracking, pupil dilation, and EEG analysis are fuzzed in order to investigate user behavior and preferences on a web site
Taking into consideration that the analysis of individual mouse movement trajectories should be Taking into consideration that the analysis of individual mouse movement trajectories should adapted to the selected research questions, the metrics computed by the toolbox are mainly oriented be adapted to the selected research questions, the metrics computed by the toolbox are mainly to the calculation of representative indices which aim to highlight the overall searching behavior, oriented to the calculation of representative indices which aim to highlight the overall searching extending the typical measurements of reaction time
Summary
The examination of visual behavior and reaction requires the performance of scientific experimentation using different types of visual stimuli. Existing tools compute basic and derived (e.g., minimum, maximum, or standard deviations) values connected to mouse trajectories These metrics involve values related to mouse positions (including the extraction of mouse positions without mouse movements), reaction time, directional changes, velocity, and acceleration [7]. The development of scientific software for mouse tracking and analysis could follow approaches implemented in eye movement analysis producing critical outcomes for both studying and modeling visual reaction in different types of visual stimuli. Material and Methods section provides specific examples and demos (through an example case study in the field of map perception) in order to highlight all the functionalities of the introduced toolbox including metrics analysis, data visualizations, as well as the generation of objective data ground truth (grayscale statistical heatmap). The contribution of the proposed toolbox in experimental development are summarized and discussed in Discussion and Conclusions section
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