用AI生成图像帮助人们从个人数据中发现新意义
Reimagining Personal Data: Unlocking the Potential of AI-Generated Images in Personal Data Meaning-Making
- 用GPT-4和DALL-E 3将个人数据转为视觉图像
- 16人参与21天研究，发现用户通过想象建构数据意义
- 适合对数据可视化与自我表达感兴趣的用户
图像生成式AI为个人数据的视觉转化提供了新可能。本文通过一项自传式设计研究，探索了基于个人数据生成的AI图像在促进数据意义建构中的潜力。研究基于该发现，设计了一个基于网页的应用程序，利用OpenAI的GPT-4模型和DALL-E 3将个人数据转化为生成图像。随后，我们对16名参与者开展了为期21天的日记研究与访谈，考察其在日常生活中使用这些AI生成图像的深层体验。结果揭示了用户在与数据互动中产生的新体验特质，尤其体现在他们通过想象和推测，在生成图像中构建个人意义的过程。文章最后讨论了图像生成式AI在个人数据意义建构中的潜力与潜在风险。
原文摘要 · Abstract (English)
Image-generative AI provides new opportunities to transform personal data into alternative visual forms. In this paper, we illustrate the potential of AI-generated images in facilitating meaningful engagement with personal data. In a formative autobiographical design study, we explored the design and use of AI-generated images derived from personal data. Informed by this study, we designed a web-based application as a probe that represents personal data through generative images utilizing Open AI's GPT-4 model and DALL-E 3. We then conducted a 21-day diary study and interviews using the probe with 16 participants to investigate users' in-depth experiences with images generated by AI in everyday lives. Our findings reveal new qualities of experiences in users' engagement with data, highlighting how participants constructed personal meaning from their data through imagination and speculation on AI-generated images. We conclude by discussing the potential and concerns of leveraging image-generative AI for personal data meaning-making.
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