用计算模型生成更新颖的创新机会，提升专业创新效率。
A computational model and tool for generating more novel opportunities in professional innovation processes
- 结合创意理论设计五功能模型，增强创新机会的新颖性
- 在酒店业项目中验证，生成结果比Notebook LM和ChatGPT4o更新颖或更有用
- 部分功能未提升新颖性，提示未来优化方向
本文提出一种基于创造力理论与方法的新型计算模型，用于生成更具新颖性的创新机会，同时保持实用性。该模型包含五个功能模块，旨在在不牺牲可用性的前提下提升创新机会的新颖度。通过在酒店行业的创新项目中进行评估，结果显示该模型生成的结果在新颖性和/或实用性上优于Notebook LM和ChatGPT4o。然而，并非所有模型功能均对提升新颖性有贡献，为后续模型改进提供了新方向。
原文摘要 · Abstract (English)
This paper presents a new computational model of creative outcomes, informed by creativity theories and techniques, which was implemented to generate more novel opportunities for innovation projects. The model implemented five functions that were developed to contribute to the generation of innovation opportunities with higher novelty without loss of usefulness. The model was evaluated using opportunities generated for an innovation project in the hospitality sector. The evaluation revealed that the computational model generated outcomes that were more novel and/or useful than outcomes from Notebook LM and ChatGPT4o. However, not all model functions contributed to the generation of more novel opportunities, leading to new directions for further model development
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