The aim of the present research project will to explore whether eye-tracking, together with temporal and kinematic indicators, could improve the detection of subjects demonstrating faking-good behaviour when responding to personality questionnaires. Two hundred and fifty volunteers will randomly assign to one of four experimental groups (honest unspeeded, faking-good unspeeded, honest speeded, and faking-good speeded). Participants will ask to respond to the MMPI-2 underreporting scales (L, K, S), the PPI-R Virtuous Responding (VR) validity scale, and the PAI Positive Impression (PIM) validity scale using a computer mouse. Eye-tracking data will be recorded. The collected data will include T-point scores on the L, K, S, VR, and PIM scales; response times on these scales; several temporal and spatial mouse parameters and eye-tracking features. These data will use to investigate the presence of significant differences between the two manipulated variables (honest vs. faking-good; speeded vs. unspeeded). Machine Learning analyses will be employed.
