The prediction of individual interpersonal communication skills and personality traits is a critical issue in both industrial and organizational psychology and affective computing. In this study, we invited 114 participants, including 57 interviewers and 57 interviewees, to collect the ground truth of interviewees’ communication skills and personality traits as perceived by real human interviewers in a structured behavioral interview setting. We develop an asynchronous video interview (AVI) platform with an artificial intelligence (AI) decision agent based on a TensorFlow convolutional neural network (CNN), called AVI-AI, that can be used to partially displace human raters’ work in the initial stage of employment screening and to successfully predict a job candidate’s communication skills and personality traits. The experimental results show that AVI-AI can predict not only a candidate’s interpersonal communication skills but also his or her openness, agreeableness, and neuroticism, as perceived by experienced human resource professionals. The interrater reliability values were all acceptable to support the ground truth assumption. However, our AVI-AI could not predict the conscientiousness and extraversion as perceived by the real human raters in this study.

中文翻译：

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智能视频采访代理，用于预测沟通技巧和感知的人格特质

在产业和组织心理学以及情感计算中，个人人际沟通技巧和人格特质的预测都是至关重要的问题。在这项研究中，我们邀请了包括57名访问者和57名受访者在内的114名参与者，收集了受访者的沟通技巧和人格特质，这些事实是真实的人类访问者在结构化的行为访问环境中所感知的。我们开发了一个基于TensorFlow卷积神经网络（CNN）的具有人工智能（AI）决策代理的异步视频采访（AVI）平台，该平台称为AVI-AI，可在初始阶段用于部分取代人类评估者的工作筛选工作，并成功预测应聘者的沟通技巧和人格特质。实验结果表明，AVI-AI不仅可以预测应聘者的人际交往能力，还可以预测他或她的开放性，友善性和神经质，正如经验丰富的人力资源专业人员所认为的那样。跨度可靠性值均可接受以支持地面真实性假设。但是，我们的AVI-AI无法预测本研究中真实人类评估者所认为的尽责性和外向性。