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DESIGN THINKING ALGORITHMS: THEORY AND PRACTICE

Алгоритмы дизайн-мышления: теория и практика

DESIGN THINKING ALGORITHMS: THEORY AND PRACTICE

Abstract

В статье с опорой на работы Дж. К. Джонса, Т. Брауна, Б. Лоусона, П. Рэнда и других авторов рассмотрены алгоритмы дизайн-мышления и показана их практическая апробация. Дизайн трактуется не только как особый вид творческой и проектной деятельности, но и особый алгоритм проектирования, способный широко использоваться в других областях. Дана характеристика конвергенции, трансформации, дивергенции как основных этапов дизайн-мышления, а также мозгового штурма и метода ментальных карт как техник, способствующих конвергенции. The article discusses design thinking algorithms based on the work of J. K. Jones, T. Brown, B. Lawson, P. Rand and other authors and shows their practical approbation. The design is treated not only as a special kind of creative and project activity, but also a special design algorithm that can be widely used in other areas. Characteristics of convergence, transformation, divergence as the main stages of design thinking, as well as brainstorming and the method of mental maps as techniques that promote convergence are given.

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Keywords

метод ментальных карт, convergence, design, дизайн, графический дизайн, проектное мышление, graphic design, дивергенция, design thinking, brainstorming in design, mental map method, divergence, конвергенция, мозговой штурм в дизайне

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    popularity
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    Top 10%
    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Top 10%
Average
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