专家认为AI助训工具可辅助技术练习，但需改进个性化反馈。
Probing Experts' Perspectives on AI-Assisted Public Speaking Training
- 通过访谈与研讨，收集16位专家对商用AI演讲工具的看法。
- 专家认可AI处理重复性训练，但指出反馈缺乏个性与清晰设计。
- 建议采用传统教练与AI练习结合的混合教学模式。
公众演讲是重要的职业技能，但对许多人而言仍引发显著焦虑。传统培训依赖专家指导，而近年来人工智能的发展催生了新型商业化自动演讲反馈工具。然而，现有研究多聚焦于原型系统，对商业应用的专家评价知之甚少。本研究旨在评估公共演讲专家对商用AI演讲训练工具的有效性与设计的看法，并提出改进建议。研究采用16次半结构化访谈和2场焦点小组讨论，探讨专家对现有工具的看法、其在传统教练中的整合潜力，以及系统优化建议。结果表明，专家认可AI在处理重复性、技术性训练任务方面的价值，使教练能聚焦更高阶技能培养。然而，他们普遍指出当前工具存在反馈个性化不足、理解困难、内容选择不当及教学设计不清等问题。总体上，专家支持将传统教练与AI辅助练习相结合的混合模式。
原文摘要 · Abstract (English)
Background: Public speaking is a vital professional skill, yet it remains a source of significant anxiety for many individuals. Traditional training relies heavily on expert coaching, but recent advances in AI has led to novel types of commercial automated public speaking feedback tools. However, most research has focused on prototypes rather than commercial applications, and little is known about how public speaking experts perceive these tools. Objectives: This study aims to evaluate expert opinions on the efficacy and design of commercial AI-based public speaking training tools and to propose guidelines for their improvement. Methods: The research involved 16 semi-structured interviews and 2 focus groups with public speaking experts. Participants discussed their views on current commercial tools, their potential integration into traditional coaching, and suggestions for enhancing these systems. Results and Conclusions: Experts acknowledged the value of AI tools in handling repetitive, technical aspects of training, allowing coaches to focus on higher-level skills. However they found key issues in current tools, emphasising the need for personalised, understandable, carefully selected feedback and clear instructional design. Overall, they supported a hybrid model combining traditional coaching with AI-supported exercises.
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