"GAN I hire you?" -- A System for Personalized Virtual Job Interview Training
This addresses job interview preparation for individuals, but it is incremental as it builds on existing virtual training systems with a new feedback method.
The authors tackled the problem of providing personalized feedback for job interview training by extending a virtual system with a GAN-based approach to detect behavioral weaknesses and generate feedback, and a pilot study found the feedback helpful and likely to improve performance.
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.