对于LLM辅助设计研究过程的定性研究:战略,挑战和角色
IEEE transactions on visualization and computer graphics
|December 10, 2025
概括
大型语言模型 (LLM) 提供了改善可视化设计研究的新方法. 这项研究探讨了研究人员如何使用LLM,确定了挑战,并为可视化研究的有效整合提供了一个框架.
科学领域:
- 人与计算机的交互
- 信息可视化 信息可视化
- 人工智能的人工智能
背景情况:
- 设计研究对于开发对现实世界问题的有效可视化解决方案至关重要.
- 大型语言模型 (LLM) 提供了通过创造性解决问题和数据分析等能力来增强设计研究过程的新兴机会.
- 目前还缺乏对LLM如何协助研究人员进行可视化特定设计研究的系统理解.
研究的目的:
- 系统地研究大型语言模型 (LLM) 在可视化设计研究中的作用和影响.
- 确定有效的策略,挑战和最佳实践,用于在可视化研究中的设计研究过程中利用LLM.
- 开发一个利用LLM的框架,以促进和增强可视化设计研究.
主要方法:
- 这是一项多阶段的定性研究,涉及30名具有不同背景和专业水平的设计研究人员.
- 深入的采访和精心设计的问卷,以收集有关LLM利用策略,遇到的挑战和缓解实践的见解.
- 汇编了LLM在设计研究过程的各个阶段可以承担的潜在角色.
主要成果:
- 确定了将LLM整合到可视化设计研究的不同阶段的具体策略和实践方法.
- 记录了研究人员在使用LLM时面临的常见挑战,并概述了克服这些障碍的有效实践.
- 在设计研究工作流程中,列出了LLM可以履行的各种角色,从构思和数据处理到分析和改进.
结论:
- 通过提供新的功能和支持,LLM可以显著提高可视化研究中的设计研究过程.
- 为可视化从业者提供了如何有效利用LLMs的实际含义.
- 为系统整合LLM提出了一个基础框架,以推进可视化设计研究领域.
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