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VR-LLM Agents for Public Speaking

This work explores the potential of a large-language-model (LLM)-driven chatbot training tool to mitigate PSA, addressing the common negative perception of public-speaking skills among students. While most existing studies focus on anxiety during scripted presentations, this formative diary study examines the effectiveness of two versions of a chatbot application (virtual reality (VR) and desktop) in reducing anxiety during question-and-answer (Q\&A) sessions. Our study aims to assess the impact of the chatbot training tool on graduate students' PSA, explore its practical applications, and compare the effectiveness of both versions against each other. The findings offer valuable insights for developing more effective and sustainable public-speaking training interventions.

Publications

Exploring the Efficacy of a Chatbot Training Application in Alleviating Graduate Students' Public-Speaking Anxiety During Q&A

Extended Abstracts of the 2025 CHI Conference on Human Factors in Computing Systems

Hannah La, Ziming Li, Hidy Kong, Roshan Peiris

Project Team

Hannah La
Hidy Kong
Ziming Li
Roshan Peiris
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roshan.peiris@rit.edu

Accessible and Immersive Realities (AIR) Lab
School of Information
Golisano College of Computing and Information Sciences
Rochester Institute of Technology

© Copyright 2024 Roshan Peiris. All rights reserved.

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