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ORCIDJohn S. Gero
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- affiliation: University of North Carolina at Charlotte, USA
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2020 – today
- 2022
[j54]Sonia Vieira
, Mathias Benedek, John S. Gero, S. Li, Gaetano Cascini:
Brain activity in constrained and open design: the effect of gender on frequency bands. Artif. Intell. Eng. Des. Anal. Manuf. 36: e6 (2022)- 2021
- [j53]Mohammadali Ashrafganjouei, John S. Gero:
Exploring the effect of a visual constraint on students' design cognition. Artif. Intell. Eng. Des. Anal. Manuf. 35(1): 3-19 (2021) - 2020
- [j52]Tomohiko Sakao, John S. Gero, Hajime Mizuyama:
Analyzing cognitive processes of a product/service-system design session using protocol analysis. Artif. Intell. Eng. Des. Anal. Manuf. 34(4): 515-530 (2020)
2010 – 2019
- 2019
- [j51]Wei Peng, Achini Adikari, Damminda Alahakoon, John S. Gero:
Discovering the influence of sarcasm in social media responses. WIREs Data Mining Knowl. Discov. 9(6) (2019) - [c54]John S. Gero:
From Design Cognition to Design Neurocognition. CogSci 2019: 49-51 - [c53]Sonia Vieira, John S. Gero, Jessica Delmoral, Valentin Gattol, Carlos Fernandes, Marco P. L. Parente, António Fernandes:
Understanding the design neurocognition of industrial designers when designing and problem-solving. CogSci 2019: 3378 - [c52]Marija Majda Perisic, Mario Storga, John S. Gero:
Situated Novelty in Computational Creativity Studies. ICCC 2019: 286-290 - 2018
- [j50]Jeff W. T. Kan, John S. Gero:
Characterizing innovative processes in design spaces through measuring the information entropy of empirical data from protocol studies. Artif. Intell. Eng. Des. Anal. Manuf. 32(1): 32-43 (2018) - 2016
- [c51]Mary Lou Maher, John S. Gero, Lina Lee, Rongrong Yu, Tim Clausner:
Measuring the Effect of Tangible Interaction on Design Cognition. HCI (13) 2016: 348-360 - 2015
- [j49]Rongrong Yu, Ning Gu, Michael J. Ostwald, John S. Gero:
Empirical support for problem-solution coevolution in a parametric design environment. Artif. Intell. Eng. Des. Anal. Manuf. 29(1): 33-44 (2015) - [j48]Kazjon Grace, John S. Gero, Rob Saunders:
Interpretation-driven mapping: A framework for conducting search and rerepresentation in parallel for computational analogy in design. Artif. Intell. Eng. Des. Anal. Manuf. 29(2): 185-201 (2015) - [j47]Nick Kelly, John S. Gero:
Situated interpretation in computational creativity. Knowl. Based Syst. 80: 48-57 (2015) - [c50]Rongrong Yu, John S. Gero:
Design Patterns from Empirical Studies in Computer-Aided Design. CAAD Futures 2015: 493-506 - 2014
- [c49]Matthew D. Lammi, Cameron D. Denson, John Wells, Marie C. Paretti, Christopher B. Williams, John S. Gero:
Initial findings of high school pre-engineering and non-engineering students' design cognition. FIE 2014: 1-4 - 2013
- [j46]Vishal Singh, Andy Dong, John S. Gero:
Developing a computational model to understand the contributions of social learning modes to task coordination in teams. Artif. Intell. Eng. Des. Anal. Manuf. 27(1): 3-17 (2013) - [j45]Vishal Singh, Andy Dong, John S. Gero:
Social learning in design teams: The importance of direct and indirect communications. Artif. Intell. Eng. Des. Anal. Manuf. 27(2): 167-182 (2013) - [c48]Rongrong Yu, John S. Gero, Ning Gu:
Impact of Using Rule Algorithms on Designers' Behavior in a Parametric Design Environment: Preliminary Result from a Pilot Study. CAAD Futures 2013: 13-22 - [c47]Kazjon Grace, John S. Gero, Rob Saunders:
Learning How to Reinterpret Creative Problems. ICCC 2013: 113-117 - [c46]Ricardo Sosa, John S. Gero:
Multilevel Computational Creativity. ICCC 2013: 198-204 - 2012
- [c45]Christopher B. Williams, Yoon Suk Lee, John S. Gero, Marie C. Paretti:
Examining the effect of design education on the design cognition: Measurements from protocol studies. FIE 2012: 1-6 - [c44]Ricardo Sosa, John S. Gero:
Brainstorming in Solitude and Teams: The Role of Group Influence. ICCC 2012: 188-194 - [c43]Kazjon Grace, John S. Gero, Rob Saunders:
Representational affordances and creativity in association-based systems. ICCC 2012: 195-202 - [i1]Russell C. Thomas, John S. Gero:
Patterns of Social Influence in a Network of Situated Cognitive Agents. CoRR abs/1204.3341 (2012) - 2011
- [c42]Nick Kelly, John S. Gero:
Interpretation as driver for psychological creativity. Creativity & Cognition 2011: 355-356 - [c41]Christopher B. Williams, Yoon Suk Lee, Marie C. Paretti, John S. Gero:
Effects of design education on design cognition: A preliminary study of a sophomore design course. FIE 2011: 1 - [c40]Matthew D. Lammi, John S. Gero:
Comparing design cognition of undergraduate engineering students and high school pre-engineering students. FIE 2011: 4 - [c39]Kazjon Grace, Rob Saunders, John S. Gero:
Interpretation-driven Visual Association. ICCC 2011: 132-134 - [e5]John S. Gero:
Design Computing and Cognition '10, Fourth International Conference on Design Computing and Cognition, DCC'10, University of Stuttgart, Germany, July 2010. Springer 2011, ISBN 978-94-007-0509-8 [contents] - 2010
- [j44]Somwrita Sarkar, Andy Dong, John S. Gero:
Learning symbolic formulations in design: Syntax, semantics, and knowledge reification. Artif. Intell. Eng. Des. Anal. Manuf. 24(1): 63-85 (2010) - [c38]Udo Kannengiesser, John S. Gero:
A Framework for Constructive Design Rationale. DCC 2010: 135-153 - [c37]Jeff W. T. Kan, John S. Gero, Hsien-Hui Tang:
Measuring Cognitive Design Activity Changes during an Industry Team Brainstorming Session. DCC 2010: 621-640 - [c36]Andrés Gómez de Silva Garza, John S. Gero:
Elementary Social Interactions and Their Effects on Creativity: A Computational Simulation. ICCC 2010: 110-119 - [c35]Kazjon Grace, Rob Saunders, John S. Gero:
Constructing Conceptual Spaces for Novel Associations. ICCC 2010: 120-129 - [p2]Wei Peng, John S. Gero:
Concept Formation in Scientific Knowledge Discovery from a Constructivist View. Scientific Data Mining and Knowledge Discovery 2010: 91-109 - [p1]Julie R. Jupp, John S. Gero:
Let's Look at Style: Visual and Spatial Representation and Reasoning in Design. The Structure of Style 2010: 159-195
2000 – 2009
- 2009
- [j43]John S. Gero, Gregory J. Smith:
Context, situations, and design agents. Knowl. Based Syst. 22(8): 600-609 (2009) - [j42]John S. Gero, Wei Peng:
Understanding behaviors of a constructive memory agent: A markov chain analysis. Knowl. Based Syst. 22(8): 610-621 (2009) - [c34]Ricardo Sosa, John S. Gero, Kyle E. Jennings:
Growing and destroying the worth of ideas. Creativity & Cognition 2009: 295-304 - [c33]John S. Gero, Udo Kannengiesser:
Understanding Innovation as Change of Value Systems. IFIP CAI 2009: 249-257 - [c32]John S. Gero:
Situated Computation. SoMeT 2009: 495-502 - [c31]Vishal Singh, Andy Dong, John S. Gero:
Effects of social learning and team familiarity on team performance. SpringSim 2009 - 2008
- [j41]Ashok K. Goel, Randall Davis, John S. Gero:
Multimodal design: An overview. Artif. Intell. Eng. Des. Anal. Manuf. 22(2): 83-84 (2008) - [c30]John S. Gero:
A Cognitively-Based Constructivist Approach to Memory and Reasoning. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures 2008: 64 - [c29]Ricardo Sosa, John S. Gero:
Creative Social Systems. AAAI Spring Symposium: Creative Intelligent Systems 2008: 90-94 - 2007
- [j40]John S. Gero:
AI EDAM at 20: Artificial intelligence in designing. Artif. Intell. Eng. Des. Anal. Manuf. 21(1): 17-18 (2007) - [j39]John S. Gero, Udo Kannengiesser:
An ontology of situated design teams. Artif. Intell. Eng. Des. Anal. Manuf. 21(3): 295-308 (2007) - [j38]Andy Dong, John S. Gero:
Special Issue: Design Computing and Cognition. Artif. Intell. Eng. Des. Anal. Manuf. 21(4): 315-316 (2007) - [j37]Jeff W. T. Kan, Zafer Bilda, John S. Gero:
Comparing entropy measures of idea links in design protocols: Linkography entropy measurement and analysis of differently conditioned design sessions. Artif. Intell. Eng. Des. Anal. Manuf. 21(4): 367-377 (2007) - [j36]John S. Gero, Udo Kannengiesser:
A function-behavior-structure ontology of processes. Artif. Intell. Eng. Des. Anal. Manuf. 21(4): 379-391 (2007) - [j35]Udo Kannengiesser, John S. Gero:
Agent-Based Interoperability without Product Model Standards. Comput. Aided Civ. Infrastructure Eng. 22(2): 80-97 (2007) - [c28]John S. Gero, Gregory J. Smith:
Context and Design Agents. CONTEXT 2007: 220-233 - [c27]Ricardo Sosa, John S. Gero:
Computational Explorations of Compatibility and Innovation. IFIP CAI 2007: 13-22 - [c26]John S. Gero, Udo Kannengiesser:
Locating Creativity in a Framework of Designing for Innovation. IFIP CAI 2007: 57-66 - 2006
- [j34]Julie R. Jupp, John S. Gero:
Visual style: Qualitative and context-dependent categorization. Artif. Intell. Eng. Des. Anal. Manuf. 20(3): 247-266 (2006) - [j33]Udo Kannengiesser, John S. Gero:
Towards mass customized interoperability. Comput. Aided Des. 38(8): 920-936 (2006) - [j32]Julie R. Jupp, John S. Gero:
A qualitative feature-based characterization of 2D architectural style. J. Assoc. Inf. Sci. Technol. 57(11): 1537-1550 (2006) - [c25]John S. Gero:
Understanding Situated Design Computing and Constructive Memory: Newton, Mach, Einstein and Quantum Mechanics. EG-ICE 2006: 285-297 - [c24]Wei Peng, John S. Gero:
Using a Constructive Interactive Activation and Competition Neural Network to Construct a Situated Agent's Experience. PRICAI 2006: 21-30 - 2005
- [j31]Ricardo Sosa, John S. Gero:
A computational study of creativity in design: The role of society. Artif. Intell. Eng. Des. Anal. Manuf. 19(4): 229-244 (2005) - 2004
- [j30]John S. Gero, Frances M. T. Brazier:
Special Issue: Intelligent agents in design. Artif. Intell. Eng. Des. Anal. Manuf. 18(2): 113 (2004) - [j29]Rob Saunders, John S. Gero:
Curious agents and situated design evaluations. Artif. Intell. Eng. Des. Anal. Manuf. 18(2): 153-161 (2004) - [j28]Pak-San Liew, John S. Gero:
Constructive memory for situated design agents. Artif. Intell. Eng. Des. Anal. Manuf. 18(2): 163-198 (2004) - [j27]Gourabmoy Nath, John S. Gero:
Learning while designing. Artif. Intell. Eng. Des. Anal. Manuf. 18(4): 315-341 (2004) - [c23]Udo Kannengiesser, John S. Gero:
Using Agents in the Exchange of Product Data. AIAI 2004: 129-140 - 2003
- [j26]David J. Gunaratnam, Taivas Degroff, John S. Gero:
Improving neural network models of physical systems through dimensional analysis. Appl. Soft Comput. 2(4): 283-296 (2003) - [c22]Ricardo Sosa, John S. Gero:
Social Change: Exploring Design Influence. MABS 2003: 106-119 - 2002
- [c21]John S. Gero, Udo Kannengiesser:
The Situated Function - Behaviour - Structure Framework. AID 2002: 89-104 - [c20]John S. Gero:
Computational models of creative designing based on situated cognition. Creativity & Cognition 2002: 3-10 - [c19]Rob Saunders, John S. Gero:
How to study artificial creativity. Creativity & Cognition 2002: 80-87 - [e4]John S. Gero:
Artificial Intelligence in Design '02 - Proceedings of the Seventh International Conference on Artificial Intelligence in Design, AID 2002, Cambridge University, UK, July 15-17, 2002. Springer 2002, ISBN 978-90-481-6059-4 [contents] - 2001
- [j25]John S. Gero, Vladimir A. Kazakov:
A Genetic Engineering Approach to Genetic Algorithms. Evol. Comput. 9(1): 71-92 (2001) - [j24]John S. Gero, Rabee M. Reffat:
Multiple representations as a platform for situated learning systems in designing. Knowl. Based Syst. 14(7): 337-351 (2001) - 2000
- [j23]John S. Gero, Vladimir A. Kazakov:
Adaptive enlargement of state spaces in evolutionary designing. Artif. Intell. Eng. Des. Anal. Manuf. 14(1): 31-38 (2000) - [j22]Xiao-Guang Shi, John S. Gero:
Design Families and Design Individuals. Eng. Comput. 16(3-4): 253-263 (2000) - [j21]John S. Gero, Haruyuki Fujii:
A computational framework for concept formation for a situated design agent. Knowl. Based Syst. 13(6): 361-368 (2000) - [c18]Soo-Hoon Park, John S. Gero:
Categorisation of Shapes Using Shape Features. AID 2000: 203-223 - [c17]Rabee M. Reffat, John S. Gero:
Computational Situated Learning in Design. AID 2000: 589-610 - [e3]John S. Gero:
Artificial Intelligence in Design '00 - Proceedings of the Sixth International Conference on Artificial Intelligence in Design, AID 2000, Worcester, MA, USA, June 26-29, 2000. Springer 2000, ISBN 978-94-010-5811-7 [contents]
1990 – 1999
- 1999
- [c16]John S. Gero:
Extensions to evolutionary systems in design from genetic engineering and developmental biology. CEC 1999: 474-479 - [c15]John S. Gero:
Representation and Reasoning about Shapes: Cognitive and Computational Studies in Visual Reasoning in Design. COSIT 1999: 315-330 - 1998
- [j20]Jun H. Jo, John S. Gero:
Space layout planning using an evolutionary approach. Artif. Intell. Eng. 12(3): 149-162 (1998) - [j19]John S. Gero, Vladimir A. Kazakov:
Evolving design genes in space layout planning problems. Artif. Intell. Eng. 12(3): 163-176 (1998) - [j18]John S. Gero:
Concept formation in design. Knowl. Based Syst. 11(7-8): 429-435 (1998) - [c14]José C. Damski, John S. Gero:
Object Representation and Reasoning Using Halfspaces and Logic. AID 1998: 107-125 - [c13]Myung Yeol Cha, John S. Gero:
Shape Pattern Recognition Using a Computable Pattern Representation. AID 1998: 169-187 - [c12]Masaki Suwa, John S. Gero, A. Terry Purcell:
Analysis of Cognitive Processes of a Designer as the Foundation for Support Tools. AID 1998: 229-247 - [c11]John S. Gero:
Conceptual designing as a sequence of situated acts. AI in Structural Engineering 1998: 165-177 - [c10]Michael A. Rosenman, John S. Gero:
CAD modelling in multidisciplinary design domains. AI in Structural Engineering 1998: 335-347 - [c9]John S. Gero:
Novel Models in Evolutionary Designing. SEAL 1998: 381-388 - [e2]John S. Gero, Fay Sudweeks:
Artificial Intelligence in Design '98 - Proceedings of the Fifth International Conference on Artificial Intelligence in Design, AID 1998, Lisbon, Portugal, July 20-23, 1998. Springer 1998, ISBN 978-94-010-6153-7 [contents] - 1997
- [j17]John S. Gero, Vladimir A. Kazakov:
Learning and re-using information in space layout planning problems using genetic engineering. Artif. Intell. Eng. 11(3): 329-334 (1997) - [c8]Thorsten Schnier, John S. Gero:
Dominant and Recessive Genes in Evolutionary Systems Applied to Spatial Reasoning. Australian Joint Conference on Artificial Intelligence 1997: 127-136 - 1996
- [j16]John S. Gero:
Improving design problem formulations using machine learning. Artif. Intell. Eng. Des. Anal. Manuf. 10(2): 147-148 (1996) - [j15]Thorsten Schnier, John S. Gero:
Learning representations for creative design using evolution. Artif. Intell. Eng. Des. Anal. Manuf. 10(2): 175-177 (1996) - [j14]Lena Qian, John S. Gero:
Function-behavior-structure paths and their role in analogy-based design. Artif. Intell. Eng. Des. Anal. Manuf. 10(4): 289-312 (1996) - [j13]José C. Damski, John S. Gero:
A logic-based framework for shape representation. Comput. Aided Des. 28(3): 169-181 (1996) - [j12]Michael A. Rosenman, John S. Gero:
Modelling multiple views of design objects in a collaborative CAD environment. Comput. Aided Des. 28(3): 193-205 (1996) - [j11]John S. Gero:
Creativity, emergence and evolution in design. Knowl. Based Syst. 9(7): 435-448 (1996) - [c7]José C. Damski, John S. Gero:
Shape Reasoning in CAD Systems. IEA/AIE 1996: 369-376 - 1994
- [j10]Michael A. Rosenman, John S. Gero:
That what, the how, and the shy in design. Appl. Artif. Intell. 8(2): 199-218 (1994) - [j9]John S. Gero, Sushil J. Louis, Sourav Kundu:
Evolutionary learning of novel grammars for design improvement. Artif. Intell. Eng. Des. Anal. Manuf. 8(2): 83-94 (1994) - [c6]John S. Gero:
Towards a model of exploration in computer-aided design. Formal Design Methods for CAD 1994: 315-336 - [c5]John S. Gero:
Formal design methods for computer-aided design. Formal Design Methods for CAD 1994: 353-359 - [e1]John S. Gero, Enn Tyugu:
Formal Design Methods for CAD, Proceedings of the IFIP TC5/WG5.2 Workshop on Formal Design Methods for CAD, Tallinn, Estonia, 16-19 June, 1994. IFIP Transactions B-18, Elsevier 1994, ISBN 0-444-81970-3 [contents] - 1993
- [c4]Weiyuan Wang, John S. Gero:
Acquiring design knowledge from design cases. ANNES 1993: 338-340 - 1992
- [j8]A. Terry Purcell, John S. Gero:
Effects of examples on the results of a design activity. Knowl. Based Syst. 5(1): 82-91 (1992) - 1991
- [c3]John S. Gero, K. W. Tham, H. S. Lee:
Behavior: A Link between Function and Structure in Design. IntCAD 1991: 193-225 - [c2]John S. Gero:
Conference Themes & Predictions. IntCAD 1991: 447-460 - 1990
- [j7]John S. Gero, Michael A. Rosenman:
A conceptual framework for knowledge-based design research at Sydney University's design computing unit. Artif. Intell. Eng. 5(2): 65-77 (1990) - [j6]John S. Gero:
Design Prototypes: A Knowledge Representation Schema for Design. AI Mag. 11(4): 26-36 (1990)
1980 – 1989
- 1989
- [j5]John S. Gero:
Editorial. Knowl. Based Syst. 2(1): 3-4 (1989) - [j4]Sally McLaughlin, John S. Gero:
Requirements of a reasoning system that supports creative and innovative design activity. Knowl. Based Syst. 2(1): 62-71 (1989) - 1987
- [j3]Conrad A. Mackenzie, John S. Gero:
Learning design rules from decisions and performances. Artif. Intell. Eng. 2(1): 2-10 (1987) - [j2]Sally McLaughlin, John S. Gero:
Acquiring expert knowledge from characterized designs. Artif. Intell. Eng. Des. Anal. Manuf. 1(2): 73-87 (1987) - [j1]Peter J. Hutchinson, Michael A. Rosenman, John S. Gero:
RETWALL: An expert system for the selection and preliminary design of earth retaining structures. Knowl. Based Syst. 1(1): 11-23 (1987)
1970 – 1979
- 1974
- [c1]John S. Gero, Warren G. Julain, W. Neville Holmes:
Interaction, interfaces and design. DAC 1974: 248-256
Coauthor Index
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