Detecting emotions during interview simulations

Máté Pusker (), Blanka Berényi (), Judit T. Kárász () and Szabolcs Takács ()
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Máté Pusker: Károli Gáspár University of the Reformed Church in Hungary
Blanka Berényi: Károli Gáspár University of the Reformed Church in Hungary
Judit T. Kárász: Károli Gáspár University of the Reformed Church in Hungary
Szabolcs Takács: Károli Gáspár University of the Reformed Church in Hungary

Quality & Quantity: International Journal of Methodology, 2025, vol. 59, issue 2, No 21, 1507-1551

Abstract: Abstract This article unfolds the findings of a university pilot study that simulated interviews students may encounter when applying for their master’s degree program in psychology. We have used a voice recorder to capture the content of these interviews and to analyse the voice using the LVA (Layered Voice Analysis) software. In this article we set out to explore emotional patterns by using the predefined parameters of this software. We found numerous statistical differences that showcased a pattern between question groups. In the overall pattern “Irrelevant questions” showed the lowest parameter mean values, while the “Ten-year plans” question category revealed the highest mean values. We followed the LVA reference values in our interpretation that validated only one difference to be sound from a professional point of view. The Brainpower parameter revealed a meaningful difference χ2(3) = 44,8 p

Keywords: Detecting emotions; Interviews; Voice analysis; Pilot study (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s11135-024-02030-5

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