Assessment of Vocational Types and EEG Analysis Using Holland Test Questionnaire

Abstract

This paper aims to evaluate EEG as an application predictor of Holland test with career interest. Consequently, it is essential to develop and analyze the brain wave of clinical changes of the EEG signals during Holland answering questions. The experimental test begins by answering Holland test with 34 participants of staff members at KAU (College of Computing and Information Technology and College of Engineering). Accordingly, the test is applied twice, one without using EEG and the second with EEG recording. The proposed solution uses 34 answering of participants of Holland career test dataset after getting the content data from the answering of Holland using the EEG and initial career assessment. Consequently, the Holland answering test (without EEG) is analyzed along with EEG analysis of the Holland answering in different frequency bands such as delta, theta, alpha and beta. Therefore, we aim to provide researchers, a methodology, if we could identify career interest using EEG signals or to determine the level of contribution of EEG signals would support identifying career types.