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

**Authors:** Alexander Heimerl, Silvan Mertes, Tanja Schneeberger, Tobias Baur, Ailin Liu, Linda Becker, Nicolas Rohleder, Patrick Gebhard, Elisabeth André  
**arXiv:** [2206.03869](https://arxiv.org/abs/2206.03869)  
**Date:** 2022-06-08  
**Summary page:** https://www.summarizepaper.com/en/arxiv-id/2206.03869v1/

## Key points

- Study evaluated effectiveness of virtual job interview training system enhanced with GAN-based approach for personalized feedback
- Participants had positive perceptions of usefulness, transfer motivation, and feedback quality
- Recommendations provided by the system were practical and impactful
- Some participants desired more specific recommendations tailored to their responses
- Persona in training described as eager to improve, open to new experiences, career-oriented, self-reflective or non-self-reflective
- Identified potential use-cases beyond job interviews like improving communication skills and addressing anxiety disorders or social phobias
- Suggestions for enhancing the training system included more specific recommendations based on answer content, improved delivery style for increased empathy, and an interactive mode for practicing recommendations with instant feedback
- Participants appreciated receiving non-judgmental feedback from AI agent rather than human evaluator
- Recognized potential of technology-driven approaches in providing personalized behavioral feedback for professional skills development

## Summary

A study evaluating the effectiveness of a virtual job interview training system enhanced with a Generative Adversarial Network (GAN)-based approach for generating personalized feedback found that participants had positive perceptions of its usefulness, transfer motivation, and feedback quality. The collected data revealed that the recommendations provided by the system were practical and impactful, with participants highlighting their ease of implementation and comprehensibility. While some desired more specific recommendations tailored to their responses, others recognized the value of receiving direct feedback on their behaviors during job interviews. The persona portrayed in the training was described as eager to improve, open to new experiences, career-oriented, and either self-reflective or non-self-reflective. Participants also identified potential use-cases beyond job interview preparation, such as improving communication skills and addressing specific groups like individuals with anxiety disorders or social phobias. Suggestions for enhancing the training system included incorporating more specific recommendations based on answer content, improving delivery style for increased empathy, and implementing an interactive mode for practicing recommendations with instant feedback. Despite some reservations about further use of the training expressed by participants, many acknowledged its added value in providing targeted feedback on specific behaviors exhibited during job interviews. Overall, participants appreciated receiving non-judgmental feedback from an AI agent rather than a human evaluator and recognized its potential to reduce feelings of scrutiny and enhance learning opportunities for job interview performance improvement. These findings underscored the promising role of technology-driven approaches in facilitating personalized behavioral feedback for enhancing professional skills development in high-stakes social scenarios like job interviews.