Loading [a11y]/accessibility-menu.js
Automated prediction and analysis of job interview performance: The role of what you say and how you say it | IEEE Conference Publication | IEEE Xplore

Automated prediction and analysis of job interview performance: The role of what you say and how you say it


Abstract:

Ever wondered why you have been rejected from a job despite being a qualified candidate? What went wrong? In this paper, we provide a computational framework to quantify ...Show More

Abstract:

Ever wondered why you have been rejected from a job despite being a qualified candidate? What went wrong? In this paper, we provide a computational framework to quantify human behavior in the context of job interviews. We build a model by analyzing 138 recorded interview videos (total duration of 10.5 hours) of 69 internship-seeking students from Massachusetts Institute of Technology (MIT) as they spoke with professional career counselors. Our automated analysis includes facial expressions (e.g., smiles, head gestures), language (e.g., word counts, topic modeling), and prosodic information (e.g., pitch, intonation, pauses) of the interviewees. We derive the ground truth labels by averaging over the ratings of 9 independent judges. Our framework automatically predicts the ratings for interview traits such as excitement, friendliness, and engagement with correlation coefficients of 0.73 or higher, and quantifies the relative importance of prosody, language, and facial expressions. According to our framework, it is recommended to speak more fluently, use less filler words, speak as “we” (vs. “I”), use more unique words, and smile more.
Date of Conference: 04-08 May 2015
Date Added to IEEE Xplore: 23 July 2015
Electronic ISBN:978-1-4799-6026-2
Conference Location: Ljubljana, Slovenia

References

References is not available for this document.