当快乐的意外激发创造力：用生成式人工智能将协作推测带入生活
When happy accidents spark creativity: Bringing collaborative speculation to life with generative AI
摘要：
生成式人工智能技术，如从文本合成图像（文本到图像模型），为创造性地想象新想法提供了新的可能性。我们调查这些模型的能力，以帮助社区参与关于他们的集体未来的对话。特别是，我们设计和部署了一种便利的体验，参与者可以合作推测他们想要看到的乌托邦，然后根据这些推测生成AI生成的图像。在一系列深入的用户访谈中，我们邀请参与者对生成的图像进行反思，并完善他们对未来的愿景。我们综合研究结果与定制的社区杂志的经验。我们观察到，参与者经常产生的想法，实现他们的愿景，并提请新的横向考虑，作为查看生成的图像的结果。重要的是，我们发现，参与者的想象输出和生成的图像之间的意外差异是什么促进了新的见解的参与者。我们希望我们的共同创造，计算创造力和社区反思的实验模型能够激发生成模型的使用，以帮助社区和组织设想更好的未来。
英文摘要：
Generative AI techniques like those that synthesize images from text (text-to-image models) offer new possibilities for creatively imagining new ideas. We investigate the capabilities of these models to help communities engage in conversations about their collective future. In particular, we design and deploy a facilitated experience where participants collaboratively speculate on utopias they want to see, and then produce AI-generated imagery from those speculations. In a series of in-depth user interviews, we invite participants to reflect on the generated images and refine their visions for the future. We synthesize findings with a bespoke community zine on the experience. We observe that participants often generated ideas for implementing their vision and drew new lateral considerations as a result of viewing the generated images. Critically, we find that the unexpected difference between the participant's imagined output and the generated image is what facilitated new insight for the participant. We hope our experimental model for co-creation, computational creativity, and community reflection inspires the use of generative models to help communities and organizations envision better futures.
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。
