Method of emotional forecasting in online interviewing
DOI:
https://doi.org/10.52575/2687-0932-2021-48-1-178-187Keywords:
multimodality, online interviewing, psycho-emotional analysis, emotional forecasting, machine learningAbstract
Currently, there is a significant increase in interest in digital technologies on the part of businesses. Many companies, mostly small and medium-sized businesses, are moving interviews and negotiations to audio and video conferencing systems, and CEOs of large companies are also declaring the need to transform the HR function into an online format by implementing new technologies. The media publish more and more information about the wide possibilities of tools for implementing these technologies and the incredible results of their implementation. For example, since 2021 a number of Russia's leading banks plan to introduce programs that will read the emotions of clients during a phone conversation and when they visit the office of the credit institution. However, researches show that users are often disappointed with the results obtained due to the noticeable loss of ease of perception of multimodality of information flows. The presence of these contradictions requires research and development of new approaches to online interviewing. The fundamentally new method of emotional prediction considered in the article will allow predicting the success of an interview result determined by interactively user-defined parameters, which should eventually lead to the complete removal of the problem of HR function transformation in the online format.
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