探讨生成式人工智能对头脑风暴的影响:初步研究

Yuen-han. Chiu, Chen Chun-Ching
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引用次数: 0

摘要

该研究旨在利用生成式人工智能(Gen AI)来提高头脑风暴,以产生更多的想法和增加新颖性。进行了一项全面的文献综述,以检查头脑风暴的规则和技术。我们进行了一项实验,在实验中加入了Gen AI来改善头脑风暴过程。结果显示,参与者对新一代人工智能提供的信息的信心与共同构思产生的非冗余想法数量的增加之间存在显著的正相关关系。此外,参与者对与新一代人工智能共同构思的期望与非冗余和独特想法的增加呈显著正相关。新一代人工智能可以是头脑风暴中人类思维的延伸,从而改善想法的产生。然而,Gen AI的有效性取决于用户对AI的态度。
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Investigating the Impact of Generative Artificial Intelligence on Brainstorming: A Preliminary Study
The study aims to improve brainstorming by utilizing Generative Artificial Intelligence (Gen AI) to generate more ideas and increase novelty. A comprehensive literature review was conducted to examine the rules and techniques of brainstorming. An experiment was conducted in which Gen AI was added to improve the brainstorming process. The results showed a significant positive correlation between participants' confidence in the information provided by Gen AI and an increase in the number of non-redundant ideas generated by co-ideation. In addition, participants' expectations of co-ideation with Gen AI were significantly positively correlated with an increase in both non-redundant and unique ideas. Gen AI can be an extension of human thinking in brainstorming, leading to improved idea generation. However, the effectiveness of Gen AI depends on the user's attitude towards AI.
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