Related papers: "GAN I hire you?" -- A System for Personalized Virtual Job Interview Training

"GAN I hire you?" -- A System for Personalized Virtual Job Interview Training

URL: http://arxiv.org/abs/2206.03869v1
Date: Wed, 8 Jun 2022 13:03:39 GMT
Title: "GAN I hire you?" -- A System for Personalized Virtual Job Interview Training
Authors: Alexander Heimerl and Silvan Mertes and Tanja Schneeberger and Tobias Baur and Ailin Liu and Linda Becker and Nicolas Rohleder and Patrick Gebhard and Elisabeth Andr\'e
Abstract summary: This study develops an interactive job interview training system with a Generative Adversarial Network (GAN)-based approach. The overall study results indicate that the GAN-based generated behavioral feedback is helpful.
Score: 49.201250723083
License: http://creativecommons.org/licenses/by/4.0/
Abstract: Job interviews are usually high-stakes social situations where professional and behavioral skills are required for a satisfactory outcome. Professional job interview trainers give educative feedback about the shown behavior according to common standards. This feedback can be helpful concerning the improvement of behavioral skills needed for job interviews. A technological approach for generating such feedback might be a playful and low-key starting point for job interview training. Therefore, we extended an interactive virtual job interview training system with a Generative Adversarial Network (GAN)-based approach that first detects behavioral weaknesses and subsequently generates personalized feedback. To evaluate the usefulness of the generated feedback, we conducted a mixed-methods pilot study using mock-ups from the job interview training system. The overall study results indicate that the GAN-based generated behavioral feedback is helpful. Moreover, participants assessed that the feedback would improve their job interview performance.

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