Creating an Explainable AI Tool for First Impression Enhancement in Job Interviews
Date
2024
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Tartu Ülikool
Abstract
In the world of job interviews, first impression plays a big role in candidate selection. However, current Human Resources (HR) technology tends to lack tools
that can both provide candidates with meaningful feedback on their first impression and offer transparent, actionable advice for performance improvement. This
thesis introduces an explainable artificial intelligence (AI) tool designed to provide
advice to candidates for improving their first impressions during job interviews.
The proposed tool uses the Big Five personality traits for evaluating and improving job candidates’ interview performances. The thesis focuses on demonstrating
the potential of such a tool to provide automated, yet specialized feedback to candidates. The validation of this tool’s effectiveness is showcased through a series
of experiments. It was observed that candidates exhibited enhanced performance
after engaging with the tool.
The findings suggest that this AI tool holds practical value, indicating a promising
direction for future integration into HR software platforms. Such integration would
not only augment the functionality of these platforms but also advance the goal of
improving job interview outcomes through informed data-driven feedback. Further
development and refinement are envisioned to fully realize the potential of this tool
in professional settings, paving the way for an innovation in HR technology where
first impressions are not just evaluated, but systematically improved.
Description
Keywords
AI, First Impression, Job Interview, OCEAN, CNN, HR, Usability, Performance Evaluation, The Big Five