Abstract
This article reflects the results of one of the stages in the development of an optoelectronic intelligent system for the personalized selection of candidates. Since when checking candidates for compliance with the stated criteria, stimulus images do not cause strong emotions in candidates for a position, most of the pupillograms will be in the “gray zone”. The first results of the search for criteria that allow identifying the pupillary response in the “gray zone” are also given. The criteria for candidates for a position can be competence-based and personal. A search was carried out for the parameters of the pupillary response caused by the presentation of stimulus images, which make it possible to identify it against the background of competing processes. The results can be useful to test candidates against the employer’s stated criteria.
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The study was carried out with the financial support of the Russian Foundation for Basic Research within the framework of the research project 18-47-860018 r_a.
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Isaeva, O., Boronenko, M., Boronenko, Y., Zelensky, V. (2021). Using Eye-Tracking to Check Candidates for the Stated Criteria. In: Ahram, T.Z., Karwowski, W., Kalra, J. (eds) Advances in Artificial Intelligence, Software and Systems Engineering. AHFE 2021. Lecture Notes in Networks and Systems, vol 271. Springer, Cham. https://doi.org/10.1007/978-3-030-80624-8_16
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DOI: https://doi.org/10.1007/978-3-030-80624-8_16
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