Wicara: Efforts to Reduce the Fear of Public Speaking for Glossophobia Sufferers Using a Mobile Application Prototype Based on Large Language Model

Glossophobia, or fear of public speaking, affects 63.9% of 1,135 college students and 77.42% of 31 high school students. In one study, 50% of 95 university students reported severe anxiety, 42% moderate anxiety, and 9% low anxiety when speaking publicly. This condition stems from low self-confidence, anxiety, trembling, cold sweats, difficulty breathing, increased heart rate, and lack of preparation. The Wicara application prototype integrates artificial intelligence, specifically a large language model (LLM) to evaluate communication skills and enable users to practice public speaking. Developed using the Waterfall method, it offers features such as basic public speaking materials, three practice modes, and progress tracking. The project aims to create an innovative solution for individuals with glossophobia to reduce anxiety and improve speaking skills. Usability testing using a 7-point Likert scale USE Questionnaire yielded positive results: 6.2 for usefulness and ease of use, 6.3 for learnability, and 6.4 for satisfaction. A paired t-test statistical value 0.007 demonstrated the prototype's impact on reducing anxiety levels. These results indicate that the Wicara prototype has significant potential to benefit users in improving public speaking skills and overcoming anxiety.

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Publication Details

Published
2024-11-20
DOI
https://doi.org/10.1109/icimcis63449.2024.10957583
Citations
2
Primary Topic
Child Development and Digital Technology
Type
article
Field-Weighted Citation Impact
4.19
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article

Wicara: Efforts to Reduce the Fear of Public Speaking for Glossophobia Sufferers Using a Mobile Application Prototype Based on Large Language Model

Radinal Setyadinsa, Fajar Ramadhan, Dhi'fan Razaqa, Muhammad Rezka Al Maghribi et al.
2 citations
Child Development and Digital Technology
4.19
article

Wicara: Efforts to Reduce the Fear of Public Speaking for Glossophobia Sufferers Using a Mobile Application Prototype Based on Large Language Model

Radinal Setyadinsa, Fajar Ramadhan, Dhi'fan Razaqa, Muhammad Rezka Al Maghribi, Huda Rasyad Wicaksono, Axel Putra Bintang Syahkuala Sebayang
article en
2 citations

Abstract

Glossophobia, or fear of public speaking, affects 63.9% of 1,135 college students and 77.42% of 31 high school students. In one study, 50% of 95 university students reported severe anxiety, 42% moderate anxiety, and 9% low anxiety when speaking publicly. This condition stems from low self-confidence, anxiety, trembling, cold sweats, difficulty breathing, increased heart rate, and lack of preparation. The Wicara application prototype integrates artificial intelligence, specifically a large language model (LLM) to evaluate communication skills and enable users to practice public speaking. Developed using the Waterfall method, it offers features such as basic public speaking materials, three practice modes, and progress tracking. The project aims to create an innovative solution for individuals with glossophobia to reduce anxiety and improve speaking skills. Usability testing using a 7-point Likert scale USE Questionnaire yielded positive results: 6.2 for usefulness and ease of use, 6.3 for learnability, and 6.4 for satisfaction. A paired t-test statistical value 0.007 demonstrated the prototype's impact on reducing anxiety levels. These results indicate that the Wicara prototype has significant potential to benefit users in improving public speaking skills and overcoming anxiety.

Universitas Pembangunan Nasional Veteran Jakarta (ID)
Reduced inequalities
Openalex Percentile: Top 5%
Child Development and Digital Technology
4.19
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Wicara: Efforts to Reduce the Fear of Public Speaking for Glossophobia Sufferers Using a Mobile Application Prototype Based on Large Language Model — Radinal Setyadinsa, Fajar Ramadhan, et al. · (2024) | TGRS Research Map | TGRS