视频会议采访中故障的原因分析

IF 2.7 2区 经济学 Q2 INDUSTRIAL RELATIONS & LABOR
Jerod C. White, Tara S. Behrend
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引用次数: 0

摘要

虚拟访谈已经变得无处不在,然而关于其技术特征的心理影响的研究仍然很少。许多从业者警告说,在面试中经常出现的故障可能会对面试官对申请人的看法产生负面影响。对某些申请人群体,特别是某些年龄组的申请人来说,这种关切更加突出。年龄刻板印象将老年人描述为技术无能,根据相似效应,申请人和面试官的双重年龄可能会影响面试官对技术故障的归因。我们通过调查一种这样的故障——回声——对评分者的影响来探索这些命题。本实验采用2(年轻申请者vs.年长申请者)× 2(年轻评分者vs.年长评分者)× 3(无回声vs.轻微回声vs.严重回声)受试者间设计来检验假设。结果表明,评分者普遍对故障进行情景归因。评分者认为年龄较大的应聘者受到的影响略高于年轻的应聘者,但归因并不能预测面试表现、雇佣决定或薪资建议的看法。故障和年龄相似度通常与招聘结果无关。这些发现推进了有关归因和年龄偏见的理论,但没有提供明确的证据表明特定年龄组在虚拟面试中处于劣势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rater Attributions of Malfunctions in Videoconference Interviews
Virtual interviews have become ubiquitous, yet research on the psychological effects of their technological characteristics remains sparse. Many practitioners caution that malfunctions that commonly occur during interviews may negatively influence interviewers’ perceptions of an applicant. This concern is heightened for some groups of applicants, particularly those of certain age groups. Age stereotypes characterize older adults as technologically inept, and per the similarity effect, the dual ages of an applicant and an interviewer likely influence an interviewer’s attributions of a technology malfunction. We explored these propositions by investigating the effects that one such malfunction, an echo, has on raters. This experiment used a 2 (younger applicant vs. older applicant) × 2 (younger rater vs. older rater) × 3 (no echo vs. minor echo vs. severe echo) between-subject design to test hypotheses. Results showed that raters generally made situational attributions of malfunctions. Raters blamed the echo on older applicants slightly more than younger applicants, but attributions did not predict perceptions of interview performance, decisions to hire, or salary recommendations. Malfunctions and age similarity were generally not related to hiring outcomes. These findings advance theories surrounding attributions and age biases while offering no clear evidence that specific age groups are at a disadvantage in virtual interviews.
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CiteScore
7.20
自引率
21.60%
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