Joel Chan

Cytowane przez

	Wszystkie	Od 2018
Cytowania	1953	1396
h-indeks	21	19
i10-indeks	28	26

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20122013201420152016201720182019202020212022202312 36 80 77 102 218 207 294 256 283 324 30

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20 artykułów

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Christian SchunnProfessor of Psychology, University of PittsburghZweryfikowany adres z pitt.edu
Steven DowAssociate Professor of Cognitive Science, UC San DiegoZweryfikowany adres z ucsd.edu
Katherine FuJay and Cynthia Ihlenfeld Associate Professor of Mechanical Engineering, University of WisconsinZweryfikowany adres z wisc.edu
Kenneth KotovskyProfessor of Psychology, Carnegie Mellon UniversityZweryfikowany adres z cmu.edu
Jonathan CaganProfessor of Mechanical Engineering, Carnegie Mellon UniversityZweryfikowany adres z cmu.edu
Aniket KitturProfessor, Carnegie Mellon UniversityZweryfikowany adres z cs.cmu.edu
Dafna ShahafAssociate Professor of Computer Science, The Hebrew University of JerusalemZweryfikowany adres z cs.huji.ac.il
Kristin WoodProfessor, University of Colorado DenverZweryfikowany adres z ucdenver.edu
Tom HopeThe Hebrew University of Jerusalem and The Allen Institute for Artificial Intelligence (AI2)Zweryfikowany adres z allenai.org
Pao SiangliulueAllen Institute for AIZweryfikowany adres z allenai.org
Krzysztof GajosProfessor of Computer Science, Harvard UniversityZweryfikowany adres z eecs.harvard.edu
Xin QianUniversity of Maryland, College ParkZweryfikowany adres z umd.edu
Steven DangCarnegie Mellon UniversityZweryfikowany adres z cmu.edu
Susannah PaletzUniversity of MarylandZweryfikowany adres z umd.edu
Fan DuAdobe ResearchZweryfikowany adres z adobe.com
Eunyee KohZweryfikowany adres z adobe.com
Felicia Y. NgHuman-Computer Interaction Institute, Carnegie Mellon UniversityZweryfikowany adres z cs.cmu.edu
Ryan A. RossiAdobe ResearchZweryfikowany adres z adobe.com
Hyeonsu Buttweiler KangCarnegie Mellon UniversityZweryfikowany adres z andrew.cmu.edu
Lisa Yu (Lixiu Yu)Researcher, Apple; Adjunct professor, University of PittsburghZweryfikowany adres z cs.cmu.edu

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Joel Chan

University of Maryland

Zweryfikowany adres z umd.edu - Strona główna

Cognitive Science Creativity Problem Solving Human-Computer Interaction Design


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
On the Benefits and Pitfalls of Analogies for Innovative Design: Ideation Performance Based on Analogical Distance, Commonness, and Modality of Examples J Chan, K Fu, C Schunn, J Cagan, K Wood, K Kotovsky Journal of Mechanical Design 133, 081004, 2011	338	2011
The Meaning of “Near” and “Far”: The Impact of Structuring Design Databases and the Effect of Distance of Analogy on Design Output K Fu, J Chan, J Cagan, K Kotovsky, C Schunn, K Wood ASME 2012 International Design Engineering Technical Conferences and …, 2012	296	2012
The meaning of “near” and “far”: the impact of structuring design databases and the effect of distance of analogy on design output K Fu, J Chan, J Cagan, K Kotovsky, C Schunn, K Wood Journal of Mechanical Design 135 (2), 2013	282	2013
Do The Best Design Ideas (Really) Come From Conceptually Distant Sources Of Inspiration? J Chan, SP Dow, CD Schunn Design Studies, 2014	156*	2014
The impact of analogies on creative concept generation: lessons from an in vivo study in engineering design J Chan, C Schunn Cognitive science 39 (1), 126-155, 2015	116	2015
Providing Timely Examples Improves the Quantity and Quality of Generated Ideas P Siangliulue, J Chan, KZ Gajos, SP Dow Proceedings of the ACM Conference on Creativity and Cognition, 2015	98	2015
Improving Crowd Innovation with Expert Facilitation J Chan, S Dang, SP Dow Proceedings of the ACM Conference on Computer-Supported Cooperative Work, 2016	83	2016
IdeaHound: Improving Large-scale Collaborative Ideation with Crowd-Powered Real-time Semantic Modeling P Siangliulue, J Chan, SP Dow, KZ Gajos Proceedings of the 29th Annual Symposium on User Interface Software and …, 2016	82	2016
Analogy as a strategy for supporting complex problem solving under uncertainty J Chan, SBF Paletz, CD Schunn Memory & cognition 40 (8), 1352-1365, 2012	72	2012
Accelerating Innovation Through Analogy Mining T Hope, J Chan, A Kittur, D Shahaf Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017	67	2017
Scaling up analogical innovation with crowds and AI A Kittur, L Yu, T Hope, J Chan, H Lifshitz-Assaf, K Gilon, F Ng, RE Kraut, ... Proceedings of the National Academy of Sciences 116 (6), 1870-1877, 2019	62	2019
Scaling up analogical innovation with crowds and AI A Kittur, L Yu, T Hope, J Chan, H Lifshitz-Assaf, K Gilon, F Ng, RE Kraut, ... Proceedings of the National Academy of Sciences 116 (6), 1870-1877, 2019	62	2019
Solvent: A mixed initiative system for finding analogies between research papers J Chan, JC Chang, T Hope, D Shahaf, A Kittur Proceedings of the ACM on Human-Computer Interaction 2 (CSCW), 1-21, 2018	58	2018
The importance of iteration in creative conceptual combination J Chan, CD Schunn Cognition 145, 104-115, 2015	53	2015
Semantically Far Inspirations Considered Harmful?: Accounting for Cognitive States in Collaborative Ideation J Chan, P Siangliulue, D Qori McDonald, R Liu, R Moradinezhad, S Aman, ... Proceedings of the 2017 ACM SIGCHI Conference on Creativity and Cognition …, 2017	50	2017
Comparing Different Sensemaking Approaches for Large-Scale Ideation J Chan, S Dang, SP Dow Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems …, 2016	49	2016
Crowdboard: Augmenting In-Person Idea Generation with Real-Time Crowds S Andolina, H Schneider, J Chan, K Klouche, G Jacucci, S Dow Proceedings of the 2017 ACM SIGCHI Conference on Creativity and Cognition …, 2017	47	2017
The dynamics of micro-conflicts and uncertainty in successful and unsuccessful design teams SBF Paletz, J Chan, CD Schunn Design Studies 50, 39-69, 2017	46	2017
Analogy mining for specific design needs K Gilon, J Chan, FY Ng, H Liifshitz-Assaf, A Kittur, D Shahaf Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems …, 2018	38	2018
Expert representation of design repository space: A comparison to and validation of algorithmic output K Fu, J Chan, C Schunn, J Cagan, K Kotovsky Design Studies 34 (6), 729-762, 2013	27	2013

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