Titelangaben
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.
Bd. 29
(2021)
Heft 2
.
- S. 154-169.
ISSN 1468-2389
DOI: https://doi.org/10.1111/ijsa.12325
Angaben zu Projekten
Projektfinanzierung: |
Bundesministerium für Bildung und Forschung |
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Abstract
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.
Weitere Angaben
Publikationsform: | Artikel in einer Zeitschrift |
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Begutachteter Beitrag: | Ja |
Keywords: | algorithms; applicant reactions; explainable artificial intelligence; human-computer-interaction; information,; personnel selection |
Institutionen der Universität: | Fakultäten > Kulturwissenschaftliche Fakultät > Institut für Philosophie Fakultäten Fakultäten > Kulturwissenschaftliche Fakultät |
Titel an der UBT entstanden: | Nein |
Themengebiete aus DDC: | 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik 100 Philosophie und Psychologie > 100 Philosophie 100 Philosophie und Psychologie > 150 Psychologie |
Eingestellt am: | 27 Feb 2023 08:11 |
Letzte Änderung: | 28 Feb 2023 06:29 |
URI: | https://eref.uni-bayreuth.de/id/eprint/73033 |