A DATA-DRIVEN APPROACH FOR CREATIVE CONCEPT GENERATION AND EVALUATION

[1]  Feng Shi,et al.  The Combinator – a computer-based tool for creative idea generation based on a simulation approach , 2018, Design Science.

[2]  Thomas J. Howard,et al.  Reuse of ideas and concepts for creative stimuli in engineering design , 2011 .

[3]  Fred Langerak,et al.  Using intuition in fuzzy front-end decision-making: : A conceptual framework , 2014 .

[4]  P. Bertola Design as a Knowledge Agent , 2001 .

[5]  Steven M. Smith,et al.  Characterizing the Effect of Domain Distance in Design-by-Analogy , 2011 .

[6]  Feng Shi,et al.  A data-driven text mining and semantic network analysis for design information retrieval , 2017 .

[7]  Mario Štorga,et al.  Multifaceted assessment of ideation: using networks to link ideation and design activity , 2015 .

[8]  Yike Guo,et al.  An artificial intelligence based data-driven approach for design ideation , 2019, J. Vis. Commun. Image Represent..

[9]  Christian D. Schunn,et al.  Do the best design ideas (really) come from conceptually distant sources of inspiration , 2015 .

[10]  Amaresh Chakrabarti,et al.  Biologically inspired design , 2010, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[11]  Irem Y. Tumer,et al.  A comparison of creativity and innovation metrics and sample validation through in-class design projects , 2013 .

[12]  Jami J. Shah,et al.  EMPIRICAL STUDIES OF DESIGN IDEATION: ALIGNMENT OF DESIGN EXPERIMENTS WITH LAB EXPERIMENTS , 2003 .

[13]  Amaresh Chakrabarti,et al.  Assessing design creativity , 2011 .

[14]  Kristin L. Wood,et al.  Evaluating Crowdsourced Design Concepts With Machine Learning , 2019, Volume 7: 31st International Conference on Design Theory and Methodology.

[15]  Kristin L. Wood,et al.  Technology Knowledge Graph for Design Exploration: Application to Designing the Future of Flying Cars , 2019, Volume 1: 39th Computers and Information in Engineering Conference.

[16]  Kristin L. Wood,et al.  Bio-Inspired Design: An Overview Investigating Open Questions From the Broader Field of Design-by-Analogy , 2014 .

[17]  Kristin L. Wood,et al.  Machine Learning-Based Design Concept Evaluation , 2020 .

[18]  Jonathan Cagan,et al.  Crowdsourcing inspiration: Using crowd generated inspirational stimuli to support designer ideation , 2019, Design Studies.

[19]  Kristin L. Wood,et al.  Computer-Aided Design Ideation Using InnoGPS , 2019, Volume 2A: 45th Design Automation Conference.

[20]  Ashok K. Goel,et al.  Biologically inspired design: process and products , 2009 .

[21]  Margaret A. Boden,et al.  Computer Models of Creativity , 2009, AI Mag..

[22]  Vasile Rus,et al.  SEMILAR: The Semantic Similarity Toolkit , 2013, ACL.

[23]  Jia Hao,et al.  A quantitative approach to design alternative evaluation based on data-driven performance prediction , 2017, Adv. Eng. Informatics.

[24]  Maria C. Yang,et al.  Mining and Representing the Concept Space of Existing Ideas for Directed Ideation , 2019, Journal of Mechanical Design.

[25]  Kristin L. Wood,et al.  Design opportunity conception using the total technology space map , 2018, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[26]  Ozgur Ozkan,et al.  Cognitive strategies of analogical reasoning in design: Differences between expert and novice designers , 2013 .

[27]  Catherine Havasi,et al.  Representing General Relational Knowledge in ConceptNet 5 , 2012, LREC.

[28]  Feng Shi,et al.  A computational tool for creative idea generation based on analogical reasoning and ontology , 2018, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[29]  Seda Yilmaz,et al.  Evidence-based design heuristics for idea generation , 2016 .

[30]  Kristin L. Wood,et al.  TechNet: Technology semantic network based on patent data , 2019, Expert Syst. Appl..

[31]  P. Carruthers Creative action in mind , 2011 .

[32]  Jia Hao,et al.  A function-based computational method for design concept evaluation , 2017, Adv. Eng. Informatics.

[33]  Jonathan Cagan,et al.  On the benefits and pitfalls of analogies for innovative design : Ideation performance based on analogical distance, commonness, and modality of examples , 2011 .

[34]  Ben Jonson,et al.  Design ideation: the conceptual sketch in the digital age , 2005 .

[35]  Feng Shi,et al.  THE CONCEPTUAL DISTANCES BETWEEN IDEAS IN COMBINATIONAL CREATIVITY , 2018 .

[36]  Wynne Hsu,et al.  Conceptual design: issues and challenges , 2000, Comput. Aided Des..

[37]  M. Boden The creative mind : myths & mechanisms , 1991 .