面试官:人工智能生成的见解帮助进行以候选人为中心的面试

Kuldeep Yadav, Animesh Seemendra, A. Singhania, Sagar Bora, Pratyaksh Dubey, Varun Aggarwal
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引用次数: 0

摘要

世界上最流行的评估人才的方式是通过面试。在许多组织的招聘策略中,面试官对候选人的经验贡献很大。对于怎样才能获得良好的面试体验,以及面试官如何进行以候选人为中心的面试,人们缺乏全面的理解。一项针对123名求职者的探索性研究揭示了面试官行为影响求职者体验的关键指标。这些指标为我们人工智能驱动的SmartView系统的设计提供了依据,该系统可以为面试官提供自动的面试后反馈。该系统的实际部署进行了三周,有35位采访者。根据我们的研究,大多数面试官发现SmartView的见解有助于确定需要改进的地方,并可以帮助他们提高面试技巧。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interviewing the Interviewer: AI-generated Insights to Help Conduct Candidate-centric Interviews
The most popular way to assess talent around the world is through interviews. Interviewers contribute substantially to candidate experience in many organizations' hiring strategies. There is a lack of comprehensive understanding of what makes for a good interview experience and how interviewers can conduct candidate-centric interviews. An exploratory study with 123 candidates revealed critical metrics about interviewer behavior that affects candidate experience. These metrics informed the design of our AI-driven SmartView system that provides automated post-interview feedback to Interviewers. Real-world deployment of the system was conducted for three weeks with 35 interviewers. According to our study, most interviewers found that SmartView insights helped identify areas for improvement and could assist them in improving their interviewing skills.
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