Revealing the influence of AI and its interfaces on job candidates' honest and deceptive impression management in asynchronous video interviews

IF 12.9 1区管理学 Q1 BUSINESS Technological Forecasting and Social Change Pub Date : 2023-11-27 DOI:10.1016/j.techfore.2023.123011

Hung-Yue Suen, Kuo-En Hung

{"title":"Revealing the influence of AI and its interfaces on job candidates' honest and deceptive impression management in asynchronous video interviews","authors":"Hung-Yue Suen, Kuo-En Hung","doi":"10.1016/j.techfore.2023.123011","DOIUrl":null,"url":null,"abstract":"<div><p>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' honest IMs and deceptive IMs in different ways. An exploratory analysis also found that candidates' interview anxiety could be mitigated by an AI interface.</p></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":null,"pages":null},"PeriodicalIF":12.9000,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technological Forecasting and Social Change","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0040162523006960","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}

引用次数: 0

Abstract

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' honest IMs and deceptive IMs in different ways. An exploratory analysis also found that candidates' interview anxiety could be mitigated by an AI interface.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

揭示人工智能及其界面对异步视频面试中求职者诚实与欺骗印象管理的影响

尽管对人工智能的人性和透明度存在担忧，但越来越多的雇主采用人工智能(AI)驱动的自动视频面试来筛选求职者。因此，研究人员和实践者主张通过在有形性、即时性和透明度方面改进人工智能界面来克服这些担忧。然而，具有不同界面的人工智能视频面试可能会影响受访者参与印象管理行为(IMs)的倾向，从而提高或损害人员选择效度。本研究通过进行实地研究，探讨人工智能和人工智能界面在异步视频面试(AVIs)中影响候选人即时通讯的方式，解决了调查上述问题的研究呼吁。我们开发了三个AVI接口，并测量了实际求职者在四个实验处理中自我报告的im。我们发现不同的人工智能界面会以不同的方式增加或减少候选人的诚实im和欺骗im。一项探索性分析还发现，人工智能界面可以缓解求职者的面试焦虑。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Technological Forecasting and Social Change Multiple-

CiteScore

21.30

自引率

10.80%

发文量

813

期刊介绍： Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.