Anchoring effects in state-of-the-art personnel selection processes: How artificial intelligence influences people’s decision-making
(2019) PSYP01 20191Department of Psychology
- Abstract
- The robustness of anchoring effects underlines the importance of investigating its repercussions in various situations, including personnel selection. Additionally, technological developments and the planned implementation of artificially intelligent (AI) systems in personnel selection create a new decision-making process offering another possibility for anchoring effects to occur. This study investigated the influence of AI vs human ratings on the hiring-decision of participants considering their attitudes and hiring-experience as moderating factors. Data from 321 participants were collected online. The 2 (AI vs hiring manager) ✕ 2 (above vs below average) within-subject design prompted participants to rate five video interview excerpts... (More)
- The robustness of anchoring effects underlines the importance of investigating its repercussions in various situations, including personnel selection. Additionally, technological developments and the planned implementation of artificially intelligent (AI) systems in personnel selection create a new decision-making process offering another possibility for anchoring effects to occur. This study investigated the influence of AI vs human ratings on the hiring-decision of participants considering their attitudes and hiring-experience as moderating factors. Data from 321 participants were collected online. The 2 (AI vs hiring manager) ✕ 2 (above vs below average) within-subject design prompted participants to rate five video interview excerpts on five scales. As predicted and in line with previous research, participants adjusted their initial judgement towards the respective anchor. There was no difference between the influence of humans vs AI systems as a source of information. Furthermore, neither did participants’ attitudes interact with the anchoring effect, nor did age predict the valence of the attitude scores. Finally, hiring experience was found to interact with the anchor information, suggesting that participants with less experience rely heavier on low anchor information. The study provides implications for implementing AI in personnel selection processes as well as general information about the influential nature of AI and anchoring effects in general. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/8993932
- author
- Ruwe, Theresa LU
- supervisor
-
- Mats Dahl LU
- organization
- course
- PSYP01 20191
- year
- 2019
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- artificial intelligence, linear mixed effects model, decision-making, personnel selection, anchoring effects
- language
- English
- id
- 8993932
- date added to LUP
- 2019-09-06 08:40:10
- date last changed
- 2019-09-06 08:40:10
@misc{8993932, abstract = {{The robustness of anchoring effects underlines the importance of investigating its repercussions in various situations, including personnel selection. Additionally, technological developments and the planned implementation of artificially intelligent (AI) systems in personnel selection create a new decision-making process offering another possibility for anchoring effects to occur. This study investigated the influence of AI vs human ratings on the hiring-decision of participants considering their attitudes and hiring-experience as moderating factors. Data from 321 participants were collected online. The 2 (AI vs hiring manager) ✕ 2 (above vs below average) within-subject design prompted participants to rate five video interview excerpts on five scales. As predicted and in line with previous research, participants adjusted their initial judgement towards the respective anchor. There was no difference between the influence of humans vs AI systems as a source of information. Furthermore, neither did participants’ attitudes interact with the anchoring effect, nor did age predict the valence of the attitude scores. Finally, hiring experience was found to interact with the anchor information, suggesting that participants with less experience rely heavier on low anchor information. The study provides implications for implementing AI in personnel selection processes as well as general information about the influential nature of AI and anchoring effects in general.}}, author = {{Ruwe, Theresa}}, language = {{eng}}, note = {{Student Paper}}, title = {{Anchoring effects in state-of-the-art personnel selection processes: How artificial intelligence influences people’s decision-making}}, year = {{2019}}, }