面向面试绩效分析的人工智能模拟面试平台

Yi-Chi Chou, Felicia R. Wongso, Chunxu Chao, Han-Yen Yu
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引用次数: 2

摘要

人工智能的兴起和疫情带来了虚拟招聘的实施。我们提出的模拟面试平台(MIP)是一个模拟面试软件,为用户提供最新的面试问题和人工智能辅助反馈。本研究设计了一个视频面试平台,以帮助招聘人员有效地选择潜在的候选人,并为求职者提供一种进行模拟面试的手段。该平台整合了视觉、音频和文本特征,分析情绪、头部姿势、声音、DISC人格特征和内在特征,并评估整体面试表现。实验结果表明,该平台产生的预测分数取得了满意的结果。
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An AI Mock-interview Platform for Interview Performance Analysis
The rise of AI and the epidemic situation bring about the implementation of virtual hiring practices. Our proposed Mock-Interview Platform (MIP) is a mock-interview software that provides users with up-to-date interview questions and AI-assisted feedback. This study designed a video interview platform to assist recruiters in effectively selecting potential candidates and provide job candidates a means to conduct mock interviews. The platform integrates visual, audio, and textual features to analyze emotions, head pose, voice, DISC personality traits, and intrinsic traits, as well as evaluate the overall interview performance. The experiment results showed that the prediction scores produced by the platform yielded satisfactory outcomes.
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