journal article·2025-08-18Open access

Application of Artificial Intelligence and Virtual Reality in Soft Skills Training with Modeled Personality

Dawid Budnarowski, Dawid Jereczek, Kalina Detka, Iwona Wieczorek

Applied Sciences· Volume 15· Issue 16

Abstract

Across the world, people are exploring fields where AI (Artificial Intelligence) and VR (Virtual Reality) can be harnessed to unlock new possibilities and drive innovation. The aim of this article was to review the potential and assess the feasibility of using virtual reality technology in soft skills training (including people management, stress management, communication, conflict resolution, and sales). A project was developed featuring an application that utilizes virtual reality and artificial intelligence to facilitate communication with a virtual coach. The application operates on Meta Quest 3 virtual reality goggles (Meta Platforms, Inc., Menlo Park, CA, USA). Tests of the presented solution confirm market trends, highlighting the potential for achieving positive training outcomes through immersive technologies. The conclusions outline opportunities for improvement and further development of such solutions. This study applied a quasi-experimental model with pretest, posttest, and four-week follow-up measurements. The effectiveness of VR training was evaluated using a knowledge test (0–100%), a self-assessment scale of soft skills (Likert 1–5), expert behavior observation (0–10 scale), and posttraining surveys. The VR group demonstrated significantly higher gains in knowledge, soft skills, and behavioral performance with knowledge retention reaching 89% after four weeks. These results confirm the effectiveness of immersive VR training and its alignment with current market trends in innovative professional development.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Virtual Reality Applications and Impacts · Technology and Human Factors in Education and Health · Engineering Education and Technology

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Marine Telecommunications, Gdynia Maritime University, 81-225 Gdynia, Poland

Department of Business Informatics, University of Gdansk, 81-864 Sopot, Poland

Department of Power Electronics, Gdynia Maritime University, 81-225 Gdynia, Poland

E-learning.pl, Konsorcjum Doradczo-Szkoleniowe S.A., 02-235 Warsaw, Poland

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