Please use this identifier to cite or link to this item: doi:10.22028/D291-34561
Title: Spare me the details: How the type of information about automated interviews influences applicant reactions
Author(s): Langer, Markus
Baum, Kevin
König, Cornelius J.
Hähne, Viviane
Oster, Daniel
Speith, Timo
Language: English
Title: International Journal of Selection and Assessment
Volume: 29
Issue: 2
Pages: 154-169
Publisher/Platform: Wiley
Year of Publication: 2021
Free key words: algorithms
applicant reactions
explainable artificial intelligence
human- computer- interaction
personnel selection
DDC notations: 100 Philosophy
150 Psychology
510 Mathematics
Publikation type: Journal Article
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.
DOI of the first publication: 10.1111/ijsa.12325
Link to this record: urn:nbn:de:bsz:291--ds-345616
ISSN: 1468-2389
Date of registration: 25-Aug-2021
Faculty: HW - Fakultät für Empirische Humanwissenschaften und Wirtschaftswissenschaft
MI - Fakultät für Mathematik und Informatik
P - Philosophische Fakultät
Department: HW - Psychologie
MI - Informatik
P - Philosophie
Professorship: HW - Prof. Dr. Cornelius König
MI - Prof. Dr. Holger Hermanns
P - Prof. Dr. Christoph Fehige + Prof. Dr. Ulla Wessels
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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