多样化的人工智能角色可以缓解人机协作构思中的同质化效应
Diverse AI Personas Can Mitigate the Homogenization Effect in Human-AI Collaborative Ideation
AI总结：
本研究通过多样化的人工智能角色生成故事构思，发现其能保持故事多样性，挑战了生成式AI的创造力与多样性权衡假设，强调了设计实践对协作创造力的重要性。
摘要：
近期研究表明，尽管生成式AI（GenAI）能提升个体创造力，但往往减少集体输出的多样性。Doshi和Hauser（2024）发现GenAI生成的故事情节提升了故事写作创造力，但导致作家输出的趋同。本研究扩展了其实验，探讨了创造力与多样性权衡背后的设计选择。第一阶段使用结构化提示和10种多样化的GenAI角色生成300个故事构思，并通过文本嵌入分析验证了构思的多样性。第二阶段，参与者在有或无这些构思的情况下写作故事。结果显示，多样化的GenAI输入相比纯人类基线能保持故事多样性，部分情况下1-构思条件还显示出提升。除了解决多样性权衡问题，本研究还为人类-人工智能系统设计提供了更广泛的见解。发现表明，权衡可能源于统一的部署实践，而非GenAI固有限制，且多样性可以有意融入人工智能中介的协作中。本研究强调了过度标准化的风险，提示变化的重要性，并强调将GenAI视为可配置的合作伙伴而非静态工具的价值。这些见解对设计支持而非限制集体创造力的GenAI系统具有重要意义。
英文摘要：
Recent studies suggest that while generative AI (GenAI) can enhance individual creativity, it often reduces the diversity of collective outputs. A well-known example of this homogenization effect is by Doshi and Hauser (2024) who found that GenAI-generated plot ideas improved story writing creativity but led to convergence across writers' outputs. This study extends their experiment, identifying the design choices behind the apparent creativity-diversity trade-off. In Phase 1, we used structured prompting with 10 diverse GenAI personas to generate 300 story plots, and confirmed the plots' diversity using text embedding analysis. In Phase 2, participants wrote stories with or without access to these plots. Results show that diverse GenAI inputs can preserve story diversity compared to a human-only baseline, with some evidence of enhancement in the 1-plot condition. Beyond addressing the diversity component of the trade-off, our findings offer broader insights for human-AI system design. Our findings suggest that the trade-off may emerge from uniform deployment practices rather than from an inherent limitation of GenAI, and that diversity can be intentionally built into AI-mediated collaboration. Our study highlights the risks of over-standardization, the importance of prompt variation, and the value of treating GenAI not as a static tool but as a configurable partner. These insights have important implications for the design of GenAI systems that support, not constrain, collective creativity.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
