Premium
Highly automated job interviews: Acceptance under the influence of stakes
Author(s) -
Langer Markus,
König Cornelius J.,
Papathanasiou Maria
Publication year - 2019
Publication title -
international journal of selection and assessment
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.812
H-Index - 61
eISSN - 1468-2389
pISSN - 0965-075X
DOI - 10.1111/ijsa.12246
Subject(s) - ambiguity , psychology , selection (genetic algorithm) , action (physics) , applied psychology , job interview , automation , videoconferencing , social psychology , computer science , multimedia , artificial intelligence , mechanical engineering , physics , programming language , quantum mechanics , engineering
Technological advancements allow the automation of every part of job interviews (information acquisition, information analysis, action selection, action implementation) resulting in highly automated interviews. Efficiency advantages exist, but it is unclear how people react to such interviews (and whether reactions depend on the stakes involved). Participants (N = 123) in a 2 (highly automated, videoconference) × 2 (high‐stakes, low‐stakes situation) experiment watched and assessed videos depicting a highly automated interview for high‐stakes (selection) and low‐stakes (training) situations or an equivalent videoconference interview. Automated high‐stakes interviews led to ambiguity and less perceived controllability. Additionally, highly automated interviews diminished overall acceptance through lower social presence and fairness. To conclude, people seem to react negatively to highly automated interviews and acceptance seems to vary based on the stakes. Open Practices. This study was pre‐registered on the Open Science Framework () and on AsPredicted ().