Nørskov Sladjana, Damholdt Malene F, Ulhøi John P, Jensen Morten B, Ess Charles, Seibt Johanna
Department of Business Development and Technology, Aarhus University, Herning, Denmark.
Department of Psychology and Behavioral Sciences, Aarhus University, Aarhus, Denmark.
Front Robot AI. 2020 Nov 11;7:586263. doi: 10.3389/frobt.2020.586263. eCollection 2020.
It is well-established in the literature that biases (e. g., related to body size, ethnicity, race etc.) can occur during the employment interview and that applicants' fairness perceptions related to selection procedures can influence attitudes, intentions, and behaviors toward the recruiting organization. This study explores how social robotics may affect this situation. Using an online, video vignette-based experimental survey ( = 235), the study examines applicant fairness perceptions of two types of job interviews: a face-to-face and a robot-mediated interview. To reduce the risk of socially desirable responses, desensitize the topic, and detect any inconsistencies in the respondents' reactions to vignette scenarios, the study employs a first-person and a third-person perspective. In the robot-mediated interview, two teleoperated robots are used as fair proxies for the applicant and the interviewer, thus providing visual anonymity unlike prior research that relied on asymmetrical anonymity, in which only one party was anonymized. This design is intended to eliminate visual cues that typically cause implicit biases and discrimination of applicants, but also to prevent biasing the interviewer's assessment through impression management tactics typically used by applicants. We hypothesize that fairness perception (i.e., procedural fairness and interactional fairness) and behavioral intentions (i.e., intentions of job acceptance, reapplication intentions, and recommendation intentions) will be higher in a robot-mediated job interview than in a face-to-face job interview, and that this effect will be stronger for introvert applicants. The study shows, contrary to our expectations, that the face-to-face interview is perceived as fairer, and that the applicant's personality (introvert vs. extravert) does not affect this perception. We discuss this finding and its implications, and address avenues for future research.
文献中已充分证实,在招聘面试过程中可能会出现偏见(例如,与体型、种族、民族等有关),并且求职者对选拔程序的公平感会影响他们对招聘组织的态度、意图和行为。本研究探讨了社交机器人技术可能如何影响这种情况。该研究采用基于视频短片的在线实验调查(n = 235),考察了求职者对两种面试类型的公平感:面对面面试和机器人介导面试。为了降低社会期望性回答的风险、使话题脱敏,并检测受访者对短片情景反应中的任何不一致之处,该研究采用了第一人称和第三人称视角。在机器人介导面试中,使用两个远程操作机器人分别代表求职者和面试官,从而提供了视觉上的匿名性,这与以往依赖不对称匿名性(仅一方匿名)的研究不同。这种设计旨在消除通常会导致对求职者产生隐性偏见和歧视的视觉线索,同时也防止求职者通常使用的印象管理策略对面试官的评估产生偏差。我们假设,在机器人介导的求职面试中,公平感(即程序公平和互动公平)和行为意图(即接受工作的意图、再次申请的意图和推荐的意图)将高于面对面求职面试,并且这种影响对于内向型求职者会更强。研究结果表明,与我们的预期相反,面对面面试被认为更公平,并且求职者的性格(内向型与外向型)不会影响这种认知。我们讨论了这一发现及其影响,并指出了未来研究的方向。