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Detecting emotions during interview simulations

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 < .001. The absence of stress was supported by the values of the Stress parameter. The results of the Atmosphere parameter revealed a positive interview setting suggesting ideal conditions for the interviews based on the academic literature (Rubin and  Rubin, 2012). Based on the preliminary findings of our pilot research we defined key methodological aspects and additional research questions.

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Posted in: Journal Article Abstracts on 01/14/2025 | Link to this post on IFP |
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