从兴趣激发到情感共鸣——多模态视域下三分钟学术演讲中“兴趣”情绪的模态协同研究
From Interest Stimulation to Emotional Resonance—Research on Modal Coherence of “Interest” Emotion in Three-Minute Thesis Presentations from a Multimodal Lens
摘要: 三分钟学术演讲(Three-Minute Thesis,简称3MT)作为数字化时代的新兴多模态学术口语体裁,融合语言、手势、表情等模态,有助于优化科学知识传播范式。兴趣情绪在促进学术传播方面作用关键,但其多模态传达策略却鲜受探讨。本研究基于兴趣情绪的多模态分析框架,对100位3MT获奖选手的演讲进行系统分析,最终发现:(1) 84处有效兴趣标记中,选手调用共计476次不同强度的模态,以构建高复杂度的模态表达系统,形成高密度多模态语境;(2) 模态间详述型关系占比最大,而扩充型关系占比最小,这表明选手更依赖非言语模态增强情绪表达而非补充言语信息。这些发现进一步强调了多模态协同对提升观众情感共鸣进而增强话语说服力方面的作用,为平衡学术演讲的严谨性与公众吸引力提供切实可行的话语策略,助力我国学术传播实践。
Abstract: Three-Minute Thesis (3MT) competition is an emerging multimodal academic spoken genre in the digital era, integrating modes such as language, gestures, and facial expressions, which helps optimize the paradigm of scientific knowledge dissemination. The emotion of interest often plays a crucial role in promoting academic communication, yet its multimodal communication strategies have received limited attention. This study employed a multimodal analysis framework for interest emotion to systematically analyze 100 3MT award-winning presentations, and finally revealed: (1) at the 84 interest markers, the contestants utilized a total of 476 modes with varying intensity, constructing an expression system with high modal complexity, to create a high-density multimodal context; (2) the proportion of elaboration relation among the modes was the largest while the proportion of extension relation was the smallest, suggesting that the award-winning contestants relied more on nonverbal modes to enhance their emotional expression rather than to supplement verbal information. These findings further highlight the importance of multimodal synergy in enhancing the audience’s emotional resonance and thereby strengthening persuasiveness of speech, and provide practical discourse strategies for balancing the rigor of academic speech with public appeal, thus contributing to China’s academic dissemination practices.
文章引用:蒲增, 王倩. 从兴趣激发到情感共鸣——多模态视域下三分钟学术演讲中“兴趣”情绪的模态协同研究[J]. 现代语言学, 2025, 13(7): 959-971. https://doi.org/10.12677/ml.2025.137791

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