Asynchronous video interviews vs. face-to-face interviews for communication skill measurement: a systematic study

Sowmya Rasipuram · Pooja S. B. Rao · Dinesh Babu Jayagopi

41 citations0/0 files storedINTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION

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Abstract

Communication skill is an important social variable in em- ployment interviews. As recent trends point to, increasingly asynchronous or interface-based video interviews are becom- ing popular. Also getting increasing interest is automatic hiring analysis, of which automatic communication skill pre- diction is one such task. In this context, a research gap that exists and which our paper addresses is â€oeAre there any differences in perception of communication skill and the accuracy of automatic prediction of say classes of communicators (e.g. those below average) when we compare interface-based and face-to-face interviewsâ€❝. To this end, we have collected a set of 106 interview videos from graduate students in both the settings i.e., interface-based and face-to-face. We observe that perception of behavior of participants in interface-based (when no person is involved) vs. face-to-face (when inter- viewer is involved) according to the external naive observers is slightly different. In this paper, we present an automatic system to predict the communication skill of a person in interface-based and face-to-face interviews by automatically extracting several low level features based on audio, visual and lexical behavior of the participants and using Machine Learning algorithms like Linear Regression, Support Vec- tor Machine (SVM) and Logistic Regression. We also make an extensive study of the verbal behavior of the participant when the spoken response is obtained from manual tran- scriptions and Automatic Speech Recognition (ASR) tool. Our best automatic prediction results achieve an accuracy of 80% in interface-based and 83% in face-to-face setting.

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References

2002Praat, a system for doing phonetics by computer 2011The computer expression recognition toolbox (CERT)2013MACH 2011A Nonverbal Behavior Approach to Identify Emergent Leaders in Small Groups 2014Hire me: Computational Inference of Hirability in Employment Interviews Based on Nonverbal Behavior 2013The TARDIS Framework: Intelligent Virtual Agents for Social Coaching in Job Interviews 2009Can Nonverbal Cues be Used to Make Meaningful Personality Attributions in Employment Interviews?2015Automated prediction and analysis of job interview performance: The role of what you say and how you say it

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2018Hiring manager’s evaluations of asynchronous video interviews: The role of candidate competencies, aesthetics, and resume placement 2023Recruitment Analytics: Hiring in the Era of Artificial Intelligence 2021Artificial Canaries: Early Warning Signs for Anticipatory and Democratic Governance of AI.2022Preselection in the digital age: A comparison of perceptions of asynchronous video interviews with online tests and online application documents in a simulation context

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