DIMENSIONS OF KNOWLEDGE IN PROTOTYPING: A REVIEW AND CHARACTERISATION OF PROTOTYPING METHODS AND THEIR CONTRIBUTIONS TO DESIGN KNOWLEDGE

DIMENSIONS OF KNOWLEDGE IN PROTOTYPING: A REVIEW AND CHARACTERISATION OF PROTOTYPING METHODS AND THEIR CONTRIBUTIONS TO DESIGN KNOWLEDGE
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原型制作知识的维度:原型制作方法的回顾和特征及其对设计知识的贡献

DOI:
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发表时间:
2021
期刊:
Proceedings of the Design Society
影响因子:
--
通讯作者:
Ric Real
Ric Real
中科院分区:
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文献类型:
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作者:
Ric Real

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摘要虽然以前的工作已经描述了原型方法在产生关于产品或过程的知识方面的特征,但它们所贡献的知识的类型或“维度”还没有被完全理解。本文采用设计域的概念作为解释方法,更好地理解不同原型方法在新产品开发中对设计知识的贡献。我们首先从设计相关领域的文献回顾中综合出设计知识的十个维度。然后进行了一项研究,来自工程背景的参与者完成了一份Likert类型的问卷,以量化针对每个维度的90种常见原型方法的设计知识的感知贡献。我们对结果进行统计分析,以确定不同方法在知识贡献上的模式。结果表明,不同的方法具有显著不同的贡献特征,表明不同的方法适用于不同的知识。因此,本文指出了新方法、方法论和过程的潜力,以利用这些特征来更好地选择和排序原型过程中的方法。
Abstract Whilst prior works have characterised the affordances of prototyping methods in terms of generating knowledge about a product or process, the types, or ‘dimensions’ of knowledge towards which they contribute are not fully understood. In this paper we adapt the concept of ‘design domains’ as a method to interpret, and better understand the contributions of different prototyping methods to design knowledge in new product development. We first synthesise a set of ten dimensions for design knowledge from a review of literature in design-related fields. A study was then conducted in which participants from engineering backgrounds completed a Likert-type questionnaire to quantify the perceived contributions to design knowledge of 90 common prototyping methods against each dimension. We statistically analyse results to identify patterns in the knowledge contribution of different methods. Results reveal that methods exhibit significantly different contribution profiles, suggesting different methods to be suited to different knowledge. Thus, this paper indicates potential for new methods, methodology and processes to leverage such characterisations for better selection and sequencing of methods in the prototyping process.
通过混合方法加速产品原型制作:将 3D 打印与乐高结合起来
DOI: 10.1016/j.destud.2019.04.003
发表时间: 2019
期刊: Design Studies
影响因子: 3.5
作者:
Mathias D
通讯作者: Mathias D