Generating Personalized Behavioral Feedback for a Virtual Job Interview Training System Through Adversarial Learning

Heimerl A, Mertes S, Schneeberger T, Baur T, Liu A, Becker L, Rohleder N, Gebhard P, André E (2022)

Publication Type: Conference contribution

Publication year: 2022

Journal

Lecture Notes in Computer Science Springer Verlag

Publisher: Springer Science and Business Media Deutschland GmbH

Book Volume: 13355 LNCS

Pages Range: 679-684

Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Event location: Durham, GBR

ISBN: 9783031116438

DOI: 10.1007/978-3-031-11644-5_67

Abstract

Job interviews are usually high-stakes social situations where professional and behavioral skills are required for a satisfactory outcome. In order to increase the chances of recruitment technological approaches have emerged to generate meaningful feedback for job candidates. 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.

Authors with CRIS profile

Linda Becker
Nicolas Rohleder Lehrstuhl für Gesundheitspsychologie

Involved external institutions

Universität Augsburg DE Germany (DE) Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) GmbH DE Germany (DE)

How to cite

APA:

Heimerl, A., Mertes, S., Schneeberger, T., Baur, T., Liu, A., Becker, L.,... André, E. (2022). Generating Personalized Behavioral Feedback for a Virtual Job Interview Training System Through Adversarial Learning. In Maria Mercedes Rodrigo, Noburu Matsuda, Alexandra I. Cristea, Vania Dimitrova (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 679-684). Durham, GBR: Springer Science and Business Media Deutschland GmbH.

MLA:

Heimerl, Alexander, et al. "Generating Personalized Behavioral Feedback for a Virtual Job Interview Training System Through Adversarial Learning." Proceedings of the 23rd International Conference on Artificial Intelligence in Education, AIED 2022, Durham, GBR Ed. Maria Mercedes Rodrigo, Noburu Matsuda, Alexandra I. Cristea, Vania Dimitrova, Springer Science and Business Media Deutschland GmbH, 2022. 679-684.

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