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Detecting emotions during interview simulations

Author

Listed:
  • 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)

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

Suggested Citation

  • Máté Pusker & Blanka Berényi & Judit T. Kárász & Szabolcs Takács, 2025. "Detecting emotions during interview simulations," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(2), pages 1507-1551, April.
    • Handle: RePEc:spr:qualqt:v:59:y:2025:i:2:d:10.1007_s11135-024-02030-5
    DOI: 10.1007/s11135-024-02030-5
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