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Assessing biasing factors in asynchronous video interviews: applicant completion decisions, video background, and evaluation format

  • Nicolas Roulin*
  • , Antonis Koutsoumpis
  • , Shahad Abdulrazaq
  • , Janneke K. Oostrom
  • , Yiyu Xie
  • , Alexander MacIntosh
  • *Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Asynchronous video interviews (AVIs) have become popular selection methods due to their flexibility and cost savings but might introduce new forms of bias. For instance, interviewees often complete them from home, their surroundings might signal personal or protected statuses, and technology issues might distort the information provided. This paper leverages two complementary studies to examine (a) the AVI completion decisions, recording quality, and background elements present in high- and low-stakes job interviews, (b) to what extent these AVI-specific elements and interviewees’ characteristics can bias performance ratings, and (c) whether evaluation standardization can help mitigate such biases. Study 1 used mock interviews with (N = 626) Prolific participants evaluated by professional hiring managers. Study 2 involved high-stakes interviews with (N = 523) real applicants for competitive education programmes evaluated by trained raters using either standardized or unstandardized approaches. AVI elements (attire, room tidiness, technical issues, background) were coded in both studies. Results showed that completion decisions depended on AVI stakes and could influence evaluations. Issues with recording quality were rare and modestly related to AVI evaluations. AVI backgrounds signalling personal or protected statuses were very rare and unrelated to evaluations. Evaluations standardization reduced bias only in relation to sex-based differences, but not other interviewee characteristics.

Original languageEnglish
Pages (from-to)129-146
JournalEuropean Journal of Work and Organizational Psychology
Volume35
Issue number1
DOIs
Publication statusPublished - 2026

Bibliographical note

Publisher Copyright:
© 2025 Informa UK Limited, trading as Taylor & Francis.

Funding

This research was supported by a Mitacs Accelerate Grant (IT30679). The authors thank Damian Canagasuriam, Kaiheng Liang, Zhixin Liu, Mehdi Salimian Rizi, and Mehak Tekchandani for their help with data scoring.

FundersFunder number
Mehdi Salimian Rizi
MitacsIT30679

    Keywords

    • Asynchronous video interviews
    • bias
    • structured interview
    • technology-mediated interviews

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