The tools for personal digital fabrication (DF) are on the verge of reaching mass-adoption beyond technology enthusiasts, empowering consumers to fabricate personalized artifacts. We argue that to achieve similar outreach and impact as personal computing, personal fabrication research may have to venture beyond ever-simpler interfaces for creation, toward lowest-effort workflows for remixing. We surveyed novice-friendly DF workflows from the perspective of HCI. Through this survey, we found two distinct approaches for this challenge: 1) simplifying expert modeling tools (AutoCAD $\to$ Tinkercad) and 2) enriching tools not involving primitive-based modeling with powerful customization (e.g., Thingiverse). Drawing parallel to content creation domains such as photography, we argue that the bulk of content is created via remixing (2). In this article, we argue that to be able to include the majority of the population in DF, research should embrace omission of workflow steps, shifting toward automation, remixing, and templates, instead of modeling from the ground up.
翻译:个人数字制造工具(DF)即将达到超越技术爱好者的大规模应用,使消费者有能力制造个性化文物。我们争辩说,为了实现个人计算等类似的推广和影响,个人制造研究可能必须超越最简单的界面来创造,转向最努力的再混合工作流程。我们从HCI的角度调查了对Novice-友好的DF工作流程。通过这次调查,我们找到了应对这一挑战的两种不同办法:(1)简化专家模型工具(AutoCAD$$to$ Tinkercad)和(2)不涉及原始型模型的丰富工具(例如Thingiverse),而不涉及强大的定制(例如Thingiverse)的原始型模型。与诸如摄影等内容创建领域平行,我们争辩说,大部分内容是通过再链接(2)创造的。在文章中,我们主张,能够将大多数人口纳入DF,研究应该包括不采用工作流程步骤,转向自动化、再混合和模板,而不是从地面上建模。