Abstract
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.
Highlights
Interpersonal communication skills and personality traits have been identified as critical success factors for job performance and organization effectiveness [1, 2]
In line with previous works, our study aims to develop an intelligent video interview agent based on asynchronous video interview (AVI) and semisupervised deep learning (DL) using a convolutional neural network (CNN) with TensorFlow to extract the facial expression features, learn the patterns between the interviewees’ facial expression and their communication skills and personality traits, and build a model to automatically predict an interviewees’ personality based on his/her AVI records without assessing personality traits with any assessment tool
The results suggest that a candidate’s facial expression patterns reflect his/her communication skills as scored by human resources (HR) professionals based on structured behavioral interviews
Summary
Interpersonal communication skills and personality traits have been identified as critical success factors for job performance and organization effectiveness [1, 2]. Communication skills enable workplace members to effectively exchange, share, and feedback information to different stakeholders through verbal and nonverbal messages [3]. Personality traits refer to individual patterns of thinking, feelings, and behaviors that can be used to predict whether an individual is a good fit for a specific job context or organizational environment [2]. Face-to-face interviews are a common method of employment selection [5], and this method is a valid assessment tool for measuring interpersonal communication skills in a structured. Interviewers may judge a candidate’s personality traits based on his/her nonverbal communication during the interview, and the judgment may influence hiring recommendations [7]
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