Home // VISUAL 2025, The Tenth International Conference on Applications and Systems of Visual Paradigms // View article

Exploring Natural Language Processing on Enhancing Learning in Immersive Applications

Authors:
Andrei-Cristian Florea
Ipek Uyguner
Marian Sorin Nistor
Stefan Pickl

Keywords: Visualization Systems; Natural Language Processing in Immersive Learning; Virtual Reality and Natural Language Processing.

Abstract:
Integrating Natural Language Processing (NLP) with visualization systems and immersive technologies, such as Virtual Reality (VR), is a key area of research in simulation, training, and education. These systems enable the creation of engaging and realistic environments that improve user presence through adaptive and dynamic visualization techniques. NLP algorithms can adapt to the behaviours of the user and preferences in a dynamic simulation. This integration creates clarity, allowing users to navigate and interact with complex visual data effectively. NLP-based Competence-Oriented Training using retrieval-based and generative models in immersive learning scenarios can benefit skills acquisition through better communication and task attribution based on the learning style of the students. We aim to review how NLP impacts visualization technologies, focusing on its role in improving user interactions, training effectiveness, and learning outcomes while also highlighting future opportunities this integration can create.

Pages: 1 to 7

Copyright: Copyright (c) IARIA, 2025

Publication date: March 9, 2025

Published in: conference

ISSN: 2519-8645

ISBN: 978-1-68558-237-1

Location: Lisbon, Portugal

Dates: from March 9, 2025 to March 13, 2025