语音对话让AI辩论激发更多创意想法，比文字更利于发散思维
Voice-based debate with an AI adversary is associated with increased divergent ideation
- 用语音与AI对辩，比文字更能激发多元想法
- 语音交流重复多但能维持连贯性，拓展思路广度
- 适合需要创造性思维的场景，如头脑风暴
关于与生成式AI互动会削弱人类思维多样性的担忧，主要基于文本交互的证据，可能混淆了AI系统与书面交流本身的影响。本研究分析了957场大学生与知识型AI对手的开放式辩论，发现交流模态带来不同的语言结构特征。与口头和书面传统的经典区分一致，语音互动显著更冗长，且重复用词和短语频率高于文本交流。这种冗余具有功能性：语音用户依赖反复表达来保持连贯性，同时探索更广泛的想法。相比之下，文本交流更简洁精炼，但限制了概念广度。结果表明，对生成式AI导致认知局限的认知，部分源于使用媒介本身的影响。
原文摘要 · Abstract (English)
Concerns that interacting with generative AI homogenizes human cognition are largely based on evidence from text-based interactions, potentially conflating the effects of AI systems with those of written communication. This study examines whether these patterns depend on communication modality rather than on AI itself. Analyzing 957 open-ended debates between university students and a knowledgeable AI adversary, we show that modality corresponds to distinct structural patterns in discourse. Consistent with classic distinctions between orality and literacy, spoken interactions are significantly more verbose and exhibit greater repetition of words and phrases than text-based exchanges. This redundancy, however, is functional: voice users rely on recurrent phrasing to maintain coherence while exploring a wider range of ideas. In contrast, text-based interaction favors concision and refinement but constrains conceptual breadth. These findings suggest that perceived cognitive limitations attributed to generative AI partly reflect the medium through which it is accessed.
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