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PolyDebate:一种用于辩论技能练习与评估的游戏编排多模态系统

PolyDebate: A Game-Orchestrated Multimodal System for Debate Skills Practice and Evaluation

Jianing Yin, Weng Pan Kuan, Xiaoyun Liu, Zhiyuan Wen, Yuxuan Li, Milos Stojmenovic, Jiannong Cao

arXiv 2608.16276首次发表:更新:

发表机构

The Hong Kong Polytechnic University; Singidunum University(香港理工大学; 辛吉杜努姆大学)

机构由 AI 辅助整理,请以论文原文为准。

AI 中文总结

PolyDebate是一款游戏化多模态辩论练习评估系统,含Unity 3D游戏与网页版本,经四项研究验证,可结合AI对手、多模态评估与结构化反馈助力学习者提升辩论技能。

AI 中文摘要

辩论是一种结构化的说服性交流形式,可训练论点构建、反驳、口头表达和受众意识能力,这些技能在教育、语言学习和专业交流中具有重要价值。近期的AI辩论系统及基于大语言模型(LLM)的裁判系统在论点生成和辩论评估方面取得了进展,但多数仍以文本为中心,很少为学习者提供完整的多模态练习体验。本文介绍PolyDebate,这是一种用于英语辩论练习与评估的游戏编排多模态系统。PolyDebate引导学习者与AI对手进行分阶段的一对一(1v1)辩论,同时技能卡、道具和硬币使说服策略明确化,并将练习转化为类游戏互动。在每个会话中,系统会捕捉学习者的语音和视觉表达证据,生成上下文感知的对手回应,并生成基于评分标准的阶段级和整体反馈。PolyDebate既提供沉浸式Unity 3D游戏版本,也提供网页平台版本,二者共享相同的工作流程和评估服务。四项研究分别涵盖AI对手质量、评估覆盖范围、AI裁判反馈和用户感知,结果表明PolyDebate将辩论互动、游戏化支架、多模态评估和结构化反馈整合到用于辩论技能练习的实用工作流程中。演示视频可在此URL获取。

英文摘要

Debate is a structured form of persuasive communication that trains argument construction, rebuttal, oral delivery, and audience awareness. These skills are valued in education, language learning, and professional communication. Recent AI debate systems and LLM-based judges have advanced argument generation and debate evaluation, but most remain text-centered and rarely support learners through a complete multimodal practice experience. We introduce PolyDebate, a game-orchestrated multimodal system for English debate practice and evaluation. PolyDebate guides learners through staged one-on-one (1v1) debates with an AI opponent, while skill cards, props, and coins make persuasive strategies explicit and turn practice into a game-like interaction. During each session, the system captures learner speech and visual delivery evidence, generates context-aware opponent responses, and produces rubric-informed stage-level and overall feedback. PolyDebate is available as both an immersive Unity 3D game version and a web platform version that share the same workflow and evaluation services. Four studies covering AI opponent quality, evaluation coverage, AI judge feedback, and user perception show that PolyDebate brings debate interaction, gamified scaffolding, multimodal assessment, and structured feedback together in a practical workflow for debate skills practice. The demonstration video is available at https://youtu.be/mHwBG1_8Ebk.

Comments10 pages, 4 figures, 3 tables

论文原文

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