DEVELOPING A VIRTUAL REALITY SYSTEM INTEGRATED WITH LARGE LANGUAGE MODELS FOR REAL-TIME EVALUATION AND FEEDBACK TO IMPROVE PUBLIC SPEAKING SKILLS

Public speaking skills are considered both difficult as well as anxiety inducing for many, which in our society, dominated by frequent communication and presentation, can be problematic as well as prohibitive[1]. We propose a system using VR technology and AI large language models in order to help assist users in practicing their public speaking skills [2][3]. Users will be situated in a virtual environment, and an AI model will grade their speech and provide them notes on improvement. This required overcoming several design challenges such as prompt engineering our LLM as well as speech transcription. We performed an experiment in order to test our LLM model by having it grade varying types of speeches. Analysis of the data supports the idea that our model is consistently evaluating user speeches at the quality that we expect it should, although there are some improvements we could make to the AI model to improve its evaluation quality even further.

Authors

Publication Details

Published
2025-09-20
DOI
https://doi.org/10.5121/csit.2025.151713
Primary Topic
Communication in Education and Healthcare
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DEVELOPING A VIRTUAL REALITY SYSTEM INTEGRATED WITH LARGE LANGUAGE MODELS FOR REAL-TIME EVALUATION AND FEEDBACK TO IMPROVE PUBLIC SPEAKING SKILLS

Y.T. Chen, Jianwu Dang
Communication in Education and Healthcare
article

DEVELOPING A VIRTUAL REALITY SYSTEM INTEGRATED WITH LARGE LANGUAGE MODELS FOR REAL-TIME EVALUATION AND FEEDBACK TO IMPROVE PUBLIC SPEAKING SKILLS

Y.T. Chen, Jianwu Dang
article en

Abstract

Public speaking skills are considered both difficult as well as anxiety inducing for many, which in our society, dominated by frequent communication and presentation, can be problematic as well as prohibitive[1]. We propose a system using VR technology and AI large language models in order to help assist users in practicing their public speaking skills [2][3]. Users will be situated in a virtual environment, and an AI model will grade their speech and provide them notes on improvement. This required overcoming several design challenges such as prompt engineering our LLM as well as speech transcription. We performed an experiment in order to test our LLM model by having it grade varying types of speeches. Analysis of the data supports the idea that our model is consistently evaluating user speeches at the quality that we expect it should, although there are some improvements we could make to the AI model to improve its evaluation quality even further.

Openalex Percentile: Top 70%
Communication in Education and Healthcare
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.