Παρακολούθηση
Joel Chan
Joel Chan
University of Maryland
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα umd.edu - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
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
3812011
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
3672012
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
3472013
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
1312015
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
1282015
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
1142016
Improving Crowd Innovation with Expert Facilitation
J Chan, S Dang, SP Dow
Proceedings of the ACM Conference on Computer-Supported Cooperative Work, 2016
1082016
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
1072019
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
1072019
Accelerating Innovation Through Analogy Mining
T Hope, J Chan, A Kittur, D Shahaf
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
982017
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
972018
Analogy as a strategy for supporting complex problem solving under uncertainty
J Chan, SBF Paletz, CD Schunn
Memory & cognition 40, 1352-1365, 2012
952012
The importance of iteration in creative conceptual combination
J Chan, CD Schunn
Cognition 145, 104-115, 2015
732015
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
712017
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
682017
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
622017
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
582020
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
582016
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
502021
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