mlsanityData to 7 Oct 2026

Can an AI-Powered Presentation Platform Based On The Game "Just a Minute" Be Used To Improve Students' Public Speaking Skills?

arXiv 2510.03379 ↗First posted 3 Oct 2025cs.CY cs.AIcited by 0

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Abstract (arXiv)

This study explores the effectiveness of applying AI and gamification into a presentation platform aimed at University students wanting to improve their public speaking skills in their native tongue. Specifically, a platform based on the radio show, Just a Minute (JAM), is explored. In this game, players are challenged to speak fluently on a topic for 60 seconds without repeating themselves, hesitating or deviating from the topic. JAM has proposed benefits such as allowing students to improve their spontaneous speaking skills and reduce their use of speech disfluencies ("um", "uh", etc.). Previous research has highlighted the difficulties students face when speaking publicly, the main one being anxiety. AI Powered Presentation Platforms (AI-PPPs), where students can speak with an immersive AI audience and receive real-time feedback, have been explored as a method to improve student's speaking skills and confidence. So far they have shown promising results which this study aims to build upon. A group of students from the University of York are enlisted to evaluate the effectiveness of the JAM platform. They are asked to fill in a questionnaire, play through the game twice and then complete a final questionnaire to discuss their experiences playing the game. Various statistics are gathered during their gameplay such as the number of points they gained and the number of rules they broke. The results showed that students found the game promising and believed that their speaking skills could improve if they played the game for longer. More work will need to be carried out to prove the effectiveness of the game beyond the short term.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 3 of its 64 references that are in the map. First posted on arXiv 3 Oct 2025.

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3 of 64 references.

References · 3

  1. 2023ChatGPT: Jack of all trades, master of nonecited by 204
  2. 2025PredGen: Accelerated Inference of Large Language Models through Input-Time Speculation for Real-Time Speech Interactioncited by 7
  3. 2017Fostering User Engagement: Rhetorical Devices for Applause Generation Learnt from TED Talkscited by 1

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