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Immersive soft skills training application using large language models and virtual reality

As Malaysia undergoes a significant transition towards a skills-based economy, there is an increasing demand for soft skills training courses as individuals seek to gain their job competencies. An immersive soft skills training application involves delivering scenario-based simulation practices and...

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Bibliographic Details
Main Author: Ng, Jing Ying
Format: Final Year Project / Dissertation / Thesis
Published: 2024
Subjects:
T Technology (General)
TD Environmental technology. Sanitary engineering
Online Access:http://eprints.utar.edu.my/6667/1/fyp_CS_2024_NJY.pdf
http://eprints.utar.edu.my/6667/
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spelling my-utar-eprints.66672024-10-23T06:05:15Z Immersive soft skills training application using large language models and virtual reality Ng, Jing Ying T Technology (General) TD Environmental technology. Sanitary engineering As Malaysia undergoes a significant transition towards a skills-based economy, there is an increasing demand for soft skills training courses as individuals seek to gain their job competencies. An immersive soft skills training application involves delivering scenario-based simulation practices and personalized feedback. However, existing Virtual Reality (VR) training applications are still struggling to balance cost-effectiveness, cognitive realism and comprehensive evaluation. This is because most existing applications rely on a decision-tree approach, where the storyline is constrained by preset branching choices. This not only requires a lot of human input to complete the storyline, but the overall experience still lacks cognitive realism. Besides, most existing applications only rely on quantitative metrics for evaluation, which fall short of providing comprehensive feedback in terms of soft skills training. In this project, the main objective is to develop an immersive soft skills training application using Large Language Models (LLMs) and VR. In short, we have demonstrated the capability of LLMs in generating human-like behaviours. Besides, the combination of quantitative and qualitative data has improved the comprehensiveness of the evaluation process. 2024-01 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/6667/1/fyp_CS_2024_NJY.pdf Ng, Jing Ying (2024) Immersive soft skills training application using large language models and virtual reality. Final Year Project, UTAR. http://eprints.utar.edu.my/6667/
institution Universiti Tunku Abdul Rahman
building UTAR Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tunku Abdul Rahman
content_source UTAR Institutional Repository
url_provider http://eprints.utar.edu.my
topic T Technology (General)
TD Environmental technology. Sanitary engineering
spellingShingle T Technology (General)
TD Environmental technology. Sanitary engineering
Ng, Jing Ying
Immersive soft skills training application using large language models and virtual reality
description As Malaysia undergoes a significant transition towards a skills-based economy, there is an increasing demand for soft skills training courses as individuals seek to gain their job competencies. An immersive soft skills training application involves delivering scenario-based simulation practices and personalized feedback. However, existing Virtual Reality (VR) training applications are still struggling to balance cost-effectiveness, cognitive realism and comprehensive evaluation. This is because most existing applications rely on a decision-tree approach, where the storyline is constrained by preset branching choices. This not only requires a lot of human input to complete the storyline, but the overall experience still lacks cognitive realism. Besides, most existing applications only rely on quantitative metrics for evaluation, which fall short of providing comprehensive feedback in terms of soft skills training. In this project, the main objective is to develop an immersive soft skills training application using Large Language Models (LLMs) and VR. In short, we have demonstrated the capability of LLMs in generating human-like behaviours. Besides, the combination of quantitative and qualitative data has improved the comprehensiveness of the evaluation process.
format Final Year Project / Dissertation / Thesis
author Ng, Jing Ying
author_facet Ng, Jing Ying
author_sort Ng, Jing Ying
title Immersive soft skills training application using large language models and virtual reality
title_short Immersive soft skills training application using large language models and virtual reality
title_full Immersive soft skills training application using large language models and virtual reality
title_fullStr Immersive soft skills training application using large language models and virtual reality
title_full_unstemmed Immersive soft skills training application using large language models and virtual reality
title_sort immersive soft skills training application using large language models and virtual reality
publishDate 2024
url http://eprints.utar.edu.my/6667/1/fyp_CS_2024_NJY.pdf
http://eprints.utar.edu.my/6667/
_version_ 1814061981849616384
score 13.211869

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