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Employers’ and applicants’ fairness perceptions in job interviews: using a teleoperated robot as a fair proxy

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  • Nørskov, Sladjana
  • Damholdt, Malene F.
  • Ulhøi, John P.
  • Jensen, Morten Berg
  • Mathiasen, Mia Krogager
  • Ess, Charles M.
  • Seibt, Johanna

Abstract

This research examines the perceived fairness of two types of job interviews: robot-mediated and face-to-face interviews. The robot-mediated interview tests the concept of a fair proxy in the shape of a teleoperated social robot. In Study 1, a mini-public (n=53) revealed four factors that influence fairness perceptions of the robot-mediated interview and showed how HR professionals’ perception of fair personnel selection is influenced by moral pragmatism despite clear moral awareness of discriminative biases in interviews. In Study 2, an experimental survey (n=242) conducted at an unemployment center showed that the respondents perceived the robot-mediated interview as fairer than the face-to-face interview. Overall, the studies suggest that HR professionals and jobseekers exhibit diverging fairness perceptions and that the business case for the robot-mediated interview undermines its social case (i.e., reducing discrimination). The paper concludes by addressing key implications and avenues for future research.

Suggested Citation

  • Nørskov, Sladjana & Damholdt, Malene F. & Ulhøi, John P. & Jensen, Morten Berg & Mathiasen, Mia Krogager & Ess, Charles M. & Seibt, Johanna, 2022. "Employers’ and applicants’ fairness perceptions in job interviews: using a teleoperated robot as a fair proxy," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    • Handle: RePEc:eee:tefoso:v:179:y:2022:i:c:s0040162522001731
    DOI: 10.1016/j.techfore.2022.121641
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    Cited by:

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    2. Kraus, Sascha & Kumar, Satish & Lim, Weng Marc & Kaur, Jaspreet & Sharma, Anuj & Schiavone, Francesco, 2023. "From moon landing to metaverse: Tracing the evolution of Technological Forecasting and Social Change," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    3. Khaksar, Seyed Mohammad Sadegh & Shahmehr, Fatemeh S. & Miah, Shah & Daim, Tugrul & Ozdemir, Dilek, 2024. "Privacy concerns versus personalisation benefits in social robot acceptance by employees: A paradox theory — Contingency perspective," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    4. Suen, Hung-Yue & Hung, Kuo-En, 2024. "Revealing the influence of AI and its interfaces on job candidates' honest and deceptive impression management in asynchronous video interviews," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    5. Fosso Wamba, Samuel & Queiroz, Maciel M. & Hamzi, Lotfi, 2023. "A bibliometric and multi-disciplinary quasi-systematic analysis of social robots: Past, future, and insights of human-robot interaction," Technological Forecasting and Social Change, Elsevier, vol. 197(C).

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