Joel Chan

Citirano

	Sve	Od 2020.
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Suautori

Christian SchunnProfessor of Psychology, University of PittsburghPotvrđena adresa e-pošte na pitt.edu
Steven DowProfessor, Dept of Cognitive Science, Design Lab, UC San DiegoPotvrđena adresa e-pošte na ucsd.edu
Aniket KitturProfessor, Carnegie Mellon UniversityPotvrđena adresa e-pošte na cs.cmu.edu
Dafna ShahafAssociate Professor of Computer Science, The Hebrew University of JerusalemPotvrđena adresa e-pošte na cs.huji.ac.il
Katherine FuJay and Cynthia Ihlenfeld Associate Professor of Mechanical Engineering, University of WisconsinPotvrđena adresa e-pošte na wisc.edu
Kenneth KotovskyProfessor of Psychology, Carnegie Mellon UniversityPotvrđena adresa e-pošte na cmu.edu
Jonathan CaganLadd Professor, Carnegie Mellon UniversityPotvrđena adresa e-pošte na andrew.cmu.edu
Kristin WoodProfessor, University of Colorado DenverPotvrđena adresa e-pošte na ucdenver.edu
Tom Hope | תום הופThe Hebrew University of Jerusalem and The Allen Institute for Artificial Intelligence (AI2)Potvrđena adresa e-pošte na allenai.org
Pao SiangliulueAllen Institute for AIPotvrđena adresa e-pošte na allenai.org
Krzysztof GajosProfessor of Computer Science, Harvard UniversityPotvrđena adresa e-pošte na eecs.harvard.edu
Steven DangCarnegie Mellon UniversityPotvrđena adresa e-pošte na cmu.edu
Susannah PaletzUniversity of MarylandPotvrđena adresa e-pošte na umd.edu
Fan DuDolby LaboratoriesPotvrđena adresa e-pošte na dolby.com
Eunyee KohPotvrđena adresa e-pošte na adobe.com
Zijian "Jason" DingUniversity of Maryland, College Park; Microsoft ResearchPotvrđena adresa e-pošte na microsoft.com
Hyeonsu Buttweiler KangCarnegie Mellon UniversityPotvrđena adresa e-pošte na andrew.cmu.edu
Ryan A. RossiAdobe ResearchPotvrđena adresa e-pošte na adobe.com
Felicia Y. NgHuman-Computer Interaction Institute, Carnegie Mellon UniversityPotvrđena adresa e-pošte na cs.cmu.edu
Arvind SrinivasanPhD Student, Aarhus UniversityPotvrđena adresa e-pošte na cheenu.net

Prati

Joel Chan

University of Maryland

Potvrđena adresa e-pošte na umd.edu - Početna stranica

Cognitive Science Creativity Problem Solving Human-Computer Interaction Design


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
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	381	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	367	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), 021007, 2013	347	2013
Do The Best Design Ideas (Really) Come From Conceptually Distant Sources Of Inspiration? J Chan, SP Dow, CD Schunn Design Studies, 2014	199*	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	131	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	128	2015
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	114	2016
Improving Crowd Innovation with Expert Facilitation J Chan, S Dang, SP Dow Proceedings of the ACM Conference on Computer-Supported Cooperative Work, 2016	108	2016
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	107	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	107	2019
Accelerating Innovation Through Analogy Mining T Hope, J Chan, A Kittur, D Shahaf Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017	98	2017
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	97	2018
Analogy as a strategy for supporting complex problem solving under uncertainty J Chan, SBF Paletz, CD Schunn Memory & cognition 40, 1352-1365, 2012	95	2012
The importance of iteration in creative conceptual combination J Chan, CD Schunn Cognition 145, 104-115, 2015	73	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	71	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	68	2017
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	62	2017
Understanding Older Adults' Participation in Design Workshops A Pradhan, B Jelen, KA Siek, J Chan, A Lazar Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems …, 2020	58	2020
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	58	2016
Learning to Recommend Visualizations from Data X Qian, RA Rossi, F Du, S Kim, E Koh, S Malik, TY Lee, J Chan Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021	50	2021

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