Imperial College London

ProfessorPeterChilds

Faculty of EngineeringDyson School of Design Engineering

Chair and Leader in Engineering Design
 
 
 
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Contact

 

+44 (0)20 7594 7049p.childs Website CV

 
 
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Location

 

Studio 1, Dyson BuildingDyson BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Han:2018:10.1017/dsj.2018.7,
author = {Han, J and Shi, F and Chen, L and Childs, P},
doi = {10.1017/dsj.2018.7},
journal = {Design Science},
title = {The Combinator – a computer-based tool for creative idea generation based on a simulation approach},
url = {http://dx.doi.org/10.1017/dsj.2018.7},
volume = {4},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Idea generation is significant in design, but coming up with creative ideas is often challenging. This paper presents a computer-based tool, called the Combinator, for assisting designers to produce creative ideas. The tool is developed based on an approach simulating aspects of human cognition in achieving combinational creativity. It can generate combinational prompts in text and image forms through combining unrelated ideas. A case study has been conducted to evaluate the Combinator. The study results indicate that the Combinator, in its current formulation, has assisted the tool users involved in the case study in improving the fluency of idea generation, as well as increasing the originality, usefulness, and flexibility of the ideas generated. The results also indicate that the tool could benefit its users in generating high-novelty and high-quality ideas effectively. The Combinator is considered to be beneficial in expanding the design space, increasing better idea occurrence, improving design space exploration, and enhancing the design success rate.
AU - Han,J
AU - Shi,F
AU - Chen,L
AU - Childs,P
DO - 10.1017/dsj.2018.7
PY - 2018///
SN - 2053-4701
TI - The Combinator – a computer-based tool for creative idea generation based on a simulation approach
T2 - Design Science
UR - http://dx.doi.org/10.1017/dsj.2018.7
UR - http://hdl.handle.net/10044/1/57975
VL - 4
ER -