Do Job Candidates Perform Honest and Deceptive Impression Management Differently in Automated Video Interviews with Different Ai Interfaces?

作     者：Suen, Hung-Yue Collin Hung, Kuo-En 

作者机构：Department of Technology Application and Human Resource Development National Taiwan Normal University Taipei City Taiwan 

出 版 物：《SSRN》 

年 卷 期：2022年

核心收录：

主　　题：Transparency 

摘      要：Automated video interviews powered by artificial intelligence (AI) are increasingly being adopted by employers to screen job candidates despite concerns regarding the humanity and transparency of AI. Accordingly, researchers and practitioners advocate overcoming these concerns by refining AI interfaces in terms of tangibility, immediacy, and transparency. However, AI video interviews featuring different interfaces may impact interviewees’ tendencies to engage in impression management behaviors (IMs), which can either improve or impair personnel selection validity. This study addressed calls for research to investigate the issues mentioned above by conducting a field study to explore the ways in which AI and AI interfaces affect candidates’ IMs in asynchronous video interviews (AVIs). We developed three AVI interfaces and measured real job applicants’ self-reported IMs across four experimental treatments. We found that different AI interfaces could increase or decrease candidates’ honesty IMs and deceptive IMs in different ways. An exploratory analysis also found that candidates’ interview anxiety could be mitigated by an AI interface. © 2022, The Authors. All rights reserved.