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Journal ArticleDOI

Principles of maker and DIY fabrication: Enabling design prototypes at low cost

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TLDR
How DIY practitioners can produce useful artefacts with limited resources is reviewed to validate the repeatability of the principle classification through crowd-sourced assessment and show a positive correlation between exposure to the principles and enhanced design outcome.
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This article is published in Design Studies.The article was published on 2018-09-01. It has received 27 citations till now.

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Journal ArticleDOI

Prototyping canvas: Design tool for planning purposeful prototypes

TL;DR: The Prototyping Canvas is presented, a tool to aid designers in planning for purposeful prototypes by identifying critical assumptions and questions to guide development.
Journal ArticleDOI

Corporate makerspaces as innovation driver in companies: a literature review-based framework

TL;DR: This paper sheds light on key elements and the expected innovation-related impact of a CMS on the users and thus contains useful information for corporate innovation management on how to plan, build and implement a CMS.
Journal ArticleDOI

The Economies and Dimensionality of Design Prototyping: Value, Time, Cost and Fidelity (DETC2018-85747)

TL;DR: This research explores ways of quantifying prototyping value and reinforcing the asymptotic relationship between value and fidelity by conducting an inductive study on industry projects across disciplines and knowledge domains while collecting and analyzing empirical data on their prototype creation and test processes.
Journal ArticleDOI

Computer-aided mind map generation via crowdsourcing and machine learning

TL;DR: This work demonstrates the use of the both the EM-SVD, and HDBSCAN algorithms in an inferential clustering approach to reduce the number of one-to-one comparisons required in forming clusters of concepts.
Journal ArticleDOI

Design Principles for Additive Manufacturing: Leveraging Crowdsourced Design Repositories

TL;DR: A crowdsourced repository for additively manufacturable components is used as the source of design data, within an empirical study, to extract practical design principles for AM, providing a foundation for AM design and Industry 4.0.
References
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Book

Qualitative Data Analysis

TL;DR: In the field of qualitative data analysis, qualitative data is extremely varied in nature. It includes virtually any information that can be captured that is not numerical in nature as mentioned in this paper, which is a generalization of direct observation.
Book ChapterDOI

Qualitative Data Analysis

TL;DR: Qualitative data is extremely varied in nature and can include everything from field research where one lives in another context or culture for a period of time to photographs that illustrate some aspect of the phenomenon.
Journal ArticleDOI

What is an adequate sample size? Operationalising data saturation for theory-based interview studies

TL;DR: This work proposes principles for deciding saturation in theory-based interview studies, and demonstrates these principles in two studies, based on the theory of planned behaviour, designed to identify three belief categories (Behavioural, Normative and Control).
Book

Makers: The New Industrial Revolution

TL;DR: Anderson as mentioned in this paper explains how such technologies such as 3D printing and electronics assembly are becoming available to everybody, and how people are building successful businesses as a result, whereas once every aspiring entrepreneur needed the support of a major manufacturer, now anybody with a smart idea and a little expertise can make their ideas a reality.
Journal ArticleDOI

Incremental and Radical Innovation: Design Research vs. Technology and Meaning Change

TL;DR: One of the originators of the class of design exploration now commonly known as user- centered or human-centered design (HCD), Donald A. Norman realized that this continual process of checking with the intended users would indeed lead to incremental enhancements of the product; he also realized that it actually was a form of hill climbing—a well-known mathematical procedure for finding local optimization.
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