Investigating the truthfulness of autobiographical events through mouse dynamics

This repository contains the dataset associated with the original paper "Investigating the truthfulness of autobiographical events through mouse dynamics”, by M. Monaro, A. Guiotto, V. Fietta, G. Melis. Data are organized as follows: - the dataset used by the authors to perform statistical analysis (ANOVAs) (.xls) - the training sets used by the authors to train and validate ML models (.arff) - the test sets used by the authors to test the ML models (.arff) The "Data dictionary" file contains the description of the variables in each data file. .arff files can be directly run in WEKA software 3.9. The "Details on ML classifiers parameters" file contains the algorithm parameters used to tun ML classifiers.