Algorithm for verifying the results of the color-stimulus test
Abstract
Introduction. The paper deals with the problem of poor results verification in online psychological tools. The assumptions accepted by default as true when creating test methods are listed with related informational value and bias. The algorithm was proposed for identifying the abnormal behavior of subjects during test procedures. Aim. The paper aims to describe the capabilities and limitations of the device that allowed to identify intentionally false responses to test items. Materials and methods. The study involved 50 graduates (mean age 26 ± 2 years) of secondary specialized or higher educational institutions and novice employees (experience of up to one year). The following psycho(physio)logical tools were used for the purpose of the study: the “Videotsvetomer” software (Tsvetomer system), which corresponds to the same name method of measuring color-stimulus reaction; the GazePoint HD3 biometric video assessment system. Throughout the color test session, video monitoring of subjects’ eye movements was performed. Results. The algorithm was proposed for verifying the results of the color-stimulus test by using the “Videotsvetomer” software, which combines the use of color stimulus associations and video oculography. The results are as follows: sincere responses are accompanied by a clear differentiation of the eye movement areas associated with different groups of labels. Intentionally false responses require longer time to look at the labels, while eye movement areas are indistinct. Moreover, in the case of sincere responses, the majority of time was spent looking at the stimulus, while intentionally false answers required the subject to spend more time ‘‘scanning’’ the labels. Therefore, the eye-gaze-tracking technology makes it possible to identify labels with their positive or negative stimulus. Conclusion. The paper provides the potential for using the proposed method in psychometrics.
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