Title data
Langer, Markus ; Baum, Kevin ; König, Cornelius J. ; Hähne, Viviane ; Oster, Daniel ; Speith, Timo:
Spare me the details : How the type of information about automated interviews influences applicant reactions.
In: International Journal of Selection and Assessment.
Vol. 29
(2021)
Issue 2
.
- pp. 154-169.
ISSN 1468-2389
DOI: https://doi.org/10.1111/ijsa.12325
Project information
Project financing: |
Bundesministerium für Bildung und Forschung |
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Abstract in another language
Applicants seem to react negatively to artificial intelligence-based automated systems in personnel selection. This study investigates the impact of different pieces of information to alleviate applicant reactions in an automated interview setting. In a 2 (no process information vs. process information) × 2 (no process justification vs. process justification) between-subjects design, participants (N = 124) received respective information and watched a video showing an automated interview. Testing mediation effects via different applicant reaction variables indicated that process justification is better than process information which can even impair applicant reactions. However, information did not increase organizational attractiveness compared to not receiving any information. This study sheds light on what type of information contributes to positive and negative applicant reactions to automated systems.
Further data
Item Type: | Article in a journal |
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Refereed: | Yes |
Keywords: | algorithms; applicant reactions; explainable artificial intelligence; human-computer-interaction; information,; personnel selection |
Institutions of the University: | Faculties > Faculty of Cultural Studies > Department of Philosophy Faculties Faculties > Faculty of Cultural Studies |
Result of work at the UBT: | No |
DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science 100 Philosophy and psychology > 100 Philosophy 100 Philosophy and psychology > 150 Psychology |
Date Deposited: | 27 Feb 2023 08:11 |
Last Modified: | 28 Feb 2023 06:29 |
URI: | https://eref.uni-bayreuth.de/id/eprint/73033 |