A DATA-DRIVEN APPROACH for CREATIVE CONCEPT GENERATION and EVALUATION

J. Han; H. Forbes; F. Shi; J. Hao; D. Schaefer

doi:10.1017/dsd.2020.5

A DATA-DRIVEN APPROACH for CREATIVE CONCEPT GENERATION and EVALUATION

J. Han, H. Forbes, F. Shi, J. Hao, D. Schaefer

School of Mechanical Engineering

Research output: Contribution to journal › Conference article › peer-review

31 Citations (Scopus)

Abstract

Conceptual design, as an early phase of the design process, is known to have the highest impact on determining the innovation level of design results. Although many tools exist to support designers in conceptual design, additional knowledge, especially knowledge related to emerging technologies, is still often needed. In this paper the authors aim to propose a data-driven creative concept generation and evaluation approach to support designers in incorporating emerging technologies in the new product early development stage. The approach is demonstrated by means of an illustrated example.

Original language	English
Pages (from-to)	167-176
Number of pages	10
Journal	Proceedings of the Design Society: DESIGN Conference
Volume	1
DOIs	https://doi.org/10.1017/dsd.2020.5
Publication status	Published - 2020
Event	16th International Design Conference, DESIGN 2020 - Virtual, Online Duration: 26 Oct 2020 → 29 Oct 2020

Keywords

conceptual design
data-driven design
design creativity
evaluation
idea generation

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10.1017/dsd.2020.5

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abstract = "Conceptual design, as an early phase of the design process, is known to have the highest impact on determining the innovation level of design results. Although many tools exist to support designers in conceptual design, additional knowledge, especially knowledge related to emerging technologies, is still often needed. In this paper the authors aim to propose a data-driven creative concept generation and evaluation approach to support designers in incorporating emerging technologies in the new product early development stage. The approach is demonstrated by means of an illustrated example.",

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AU - Forbes, H.

AU - Shi, F.

AU - Hao, J.

AU - Schaefer, D.

N1 - Publisher Copyright: © The Author(s), 2020. Published by Cambridge University Press.

PY - 2020

Y1 - 2020

N2 - Conceptual design, as an early phase of the design process, is known to have the highest impact on determining the innovation level of design results. Although many tools exist to support designers in conceptual design, additional knowledge, especially knowledge related to emerging technologies, is still often needed. In this paper the authors aim to propose a data-driven creative concept generation and evaluation approach to support designers in incorporating emerging technologies in the new product early development stage. The approach is demonstrated by means of an illustrated example.

AB - Conceptual design, as an early phase of the design process, is known to have the highest impact on determining the innovation level of design results. Although many tools exist to support designers in conceptual design, additional knowledge, especially knowledge related to emerging technologies, is still often needed. In this paper the authors aim to propose a data-driven creative concept generation and evaluation approach to support designers in incorporating emerging technologies in the new product early development stage. The approach is demonstrated by means of an illustrated example.

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KW - data-driven design

KW - design creativity

KW - evaluation

KW - idea generation

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T2 - 16th International Design Conference, DESIGN 2020

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ER -

A DATA-DRIVEN APPROACH for CREATIVE CONCEPT GENERATION and EVALUATION

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Keywords

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