.

John S. Gero

In Progress
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Recent and In Progress

Books

  1. Gero, JS (ed) (2014) Design Computing and Cognition'12, Springer, 644 pp. (link)
  2. Gero, JS (ed) (2014) Studying Visual and Spatial Reasoning for Design Creativity, Springer, 267 pp. (link)
  3. Gero, JS (ed) (2016) Design Computing and Cognition'16, Springer (to appear)
  4. Gero, JS and Hanna, S (eds) (2015) Design Computing and Cognition'14, Springer, 682pp. (link)
  5. Kan, JWT and Gero, JS (2017) Quantitative Methods for Studying Design Protocols, Springer (link)

Papers

  1. Bilda, Z and Gero, JS Imagery as a tool to improve idea development. (pdf)
  2. Cha, MY and Gero, JS Shape pattern representation for design computation. (pdf)
  3. Fu, Y, Jiang, H, Zhang, D, Zhang, X and Gero, JS (2016) Exploring the differences between users' and designers' perceptions of app interface design: A case study of illumination dimming and control application, ASME IDETC2016 IDETC2016-59521. (pdf)
  4. Gero, JS and Jiang, H (2016) Exploring the design cognition of concept design reviews using the FBS-based protocol analysis, in RS Adamas and JA Siddiqui (eds), Analyzing Design Review Conversations, Purdue University Press. DOI: 10.5703/1288284315931(pdf)
  5. Gero, JS, Jiang, H, Dobolyi, K, Bellows, B and Smythwood, M (2015) How do interruptions during designing affect design cognition? in JS Gero and S Hanna(ed), Design Computing and Cognition'14, Springer, pp. 123-140. (pdf)
  6. Gero, JS, Jiang, H and Vieira, S (2013) Exploring a multi-meeting engineering design project, A Chakrabarti and RV Prakash (eds), ICoRD’13, Springer India, pp. 73-84. (pdf)
  7. Gero, JS, Jiang, H and Williams, C (2013) Design cognition differences when using unstructured, partially structured and structured concept generation creativity techniques, International Journal of Design Creativity and Innovation 1(4) 196-214. (pdf) DOI:10.1080/21650349.2013.801760
  8. Gero, JS and Kan, JWT (2016) Scientific models from empirical design research, in P Cash, T Stankovic and M Storga (eds), Experimental Design Research, Springer, pp. 253-270.
  9. Gero, JS and Kan, JWT (2016) Empirical results from measuring design creativity: Use of an augmented coding scheme in protocol analysis, Fourth International Conference on Design Creativity (to appear) (pdf)
  10. Gero, JS, Kan, JWT and Jiang, H (2015) Distinguishing and measuring “Communication While Designing” and “Design Communication” in a design team, International Conference on Human Behavior in Design (to appear) (pdf)
  11. Gero, JS and Kannengiesser, U (2014) The Function-Behaviour-Structure ontology of design, in Amaresh Chakrabarti and Lucienne Blessing (eds), An Anthology of Theories and Models of Design, Springer, pp. 263-283.(pdf)
  12. Gero, JS and Kannengiesser, U Modelling situated design optimization. (pdf)
  13. Gero, JS and Kannengiesser, U Creative designing: An ontological view and its implications for computational creativity.
  14. Gero, JS and Kannengiesser, U Commonalities across designing: Evidence from models of designing and experiments (pdf)
  15. Gero, JS, Kannengiesser, U and Pourmohamadi, M (2014) Commonalities across designing: Empirical results, in JS Gero (ed), Design Computing and Cognition'12, Springer, pp. 285-302. (pdf)
  16. Gero, JS, Kannengiesser, U and Williams, C (2014) Does designing have a common cognitive behavior independent of domain and task: A meta-analysis of design protocols, International Conference on Human Behavior in Design (to appear) (pdf)
  17. Gero, JS, Kazakov, V and Tsirlin, A Design richness and design representation.
  18. Gero, JS, Shields, J and Yu, R (2016) How veridical are different modalities of digital representation? in S. Chien, S. Choo, M. A. Schnabel, W. Nakapan, M. J. Kim, S. Roudavski (eds.), Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference of the Association for Computer-Aided Architectural Design Research in Asia, CAADRIA 2016, pp. 861-870. (pdf)
  19. Gero, JS and Smith GJ A computational framework for concept formation for a situated design agent: Gero and Fujii revisited. (pdf)
  20. Gero, JS and Smith GJ A computational framework for concept formation for a situated design agent: Constructive memory. (pdf)
  21. Gero, JS and Song, T The decomposition/recomposition design behavior of student and professional engineers. (pdf)
  22. Gero, JS and Williams, CB Cognitive characterization of brainstormng in conceptual engineering design.
  23. Grace, K, Gero, JS and Saunders, R (2013) Experiential influences on computational association in design,, in R Stouffs, P Janssen, S Roudavski and B Tuncer (eds), Open Systems: C AADRIA2013, National University of Singapore, pp. 863-872. (pdf)
  24. Grace, K, Gero, JS and Saunders, R (2013) Learning how to reinterpret creative problems, in ML Maher, T Veale, R Saunders and O Bown (eds), Proceedings of the Fourth International Conference on Computational Creativity, The University of Sydney, pp. 113-117. (pdf)
  25. Grace, K, Gero, JS and Saunders, R (2015) Interpretation-driven mapping: a framework for parallel search and re-representation for computational analogy in design, AIEDAM 29(02):185-201. (pdf)
  26. Jiang, H, Gero, JS and Yen, CC (2014) Exploring designing styles using Problem-Solution indexes, in JS Gero (ed), Design Computing and Cognition'12, Springer, pp. 85-101. (pdf)
  27. Jiang, H and Gero, JS (2016) Comparing two communication models of team design activities, Design Computing and Cognition'16, Springer (to appear) (pdf)
  28. Jiang, H and Gero, JS Modeling team design activities: An extended linkography approach.
  29. Kan, JWT and Gero, JS (2016) Characterizing innovative processes in design spaces through measuring the information entropy of empirical data from protocol studies, AIEDAM (to appear). (pdf)
  30. Kannengiesser, U and Gero, JS Communication: A design perspective.
  31. Kannengiesser, U and Gero, JS A comparison between Pahl and Beitz' systematic approach and the design behavior of mechanical engineering students. (pdf)
  32. Kannengiesser, U and Gero, JS (2015) Is designing independent of domain? Comparing models of engineering, software and service design, Research in Engineering Design 26(3): 253-275. DOI: 10.1007/s00163-015-0195-y (pdf)
  33. Kannengiesser, U, Gero, JS, Wells, J and Lammi, M (2015) Do high school students benefit from pre-engineering design education? in C Weber, S Husung, G Cascini, M Cantamessa, D Marjanovic and M Bordegoni (eds), DS 80-11 Proceedings of the 20th International Conference on Engineering Design (ICED 15) Vol 11:Human Behaviour in Design, Design Education, Design Society, pp. 267-276. (pdf)
  34. Kannengiesser, U, Williams C and Gero, JS (2013) What do the concept generation techniques of TRIZ, morphological analysis and brainstorming have in common? Proceedings of the 19th International Conference on Engineering Design (ICED13), Design for Harmonies, Vol.7: Human Behaviour in Design, Design Society, pp. 297-306. (pdf)
  35. Kelly, N and Gero, JS Situations, knowledge and conceptual spaces.
  36. Kelly, N and Gero, JS (2015) Creative systems that generate and explore, ICDC2015 (to appear) (pdf)
  37. Kelly, N and Gero, JS Situated interpretation in computational creativity. (pdf)
  38. Kelly, N and Gero, JS (2014) Interpretation in design: Modelling how the situation changes during design activity, Research in Engineering Design 25(2): 109-124 (DOI) 10.1007/s00163-013-0168-y (pdf)
  39. Kelly, N and Gero, JS (2016) Generate and situated transformation as a paradigm for models of computational creativity, International Journal of Design Creativity and Innovation DOI:10.1080/21650349.2016.1203821 (pdf)
  40. Lammi, M, Wells, J, Williams, C, Gero JS and Paretti, M (2014) Initial findings of high school pre-engineering and non-engineering students' design cognition, in Frontiers in Education Conference - FIE2014, (to appear) (pdf)
  41. Maher, ML, Gero, JS, Clausner, T, Lee, L and Yu, R (2016) Measuring the effect of tangible interaction on design cognition, Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience, Springer (pdf)
  42. Maher, ML, Lee, L, Gero, JS, Yu, R and Clausner, T (2016) Characterizing tangible interaction during a creative combination task, in Gero, JS (ed), Design Computing and Cognition'16, Springer (to appear) (pdf)
  43. Peng, W and Gero, JS Situated concept formation from interactions: An implementable constructive memory model. (pdf)
  44. Sakao, T, Gero, JS and Mizuyama H A cognitive case study of a product/service-system design using protocol analysis. (pdf)
  45. Sarkar, S and Gero, JS (2016)The topology of social influence and the dynamics of design product adoption, Design Computing and Cognition'16, Springer (to appear)
  46. Singh, V, Dong, A and Gero, JS (2013) Developing a computational model to study the social formation of design practices, A Chakrabarti and RV Prakash (eds), ICoRD’13, Springer India, pp. 629-639. (pdf)
  47. Singh, V, Dong, A and Gero, JS (2013) Social learning in design teams: The importance of direct and indirect communication , AIEDAM 27(2): 167-182. (pdf)
  48. Singh, V, Dong, A and Gero, JS (2013) Developing a computational model to understanding the contributions of social learning modes to task coordination in teams, AIEDAM 27(1): 3-17. (pdf)
  49. Singh, V and Gero, JS (2013) Preliminary simulations of scale and value of legitimation in design practice, Proceedings of the 19th International Conference on Engineering Design (ICED13), Design for Harmonies, Vol.2: Design Theory and Research Methodology, Design Society, pp. 156-162. (pdf)
  50. Singh, V and Gero, JS (2015) How different models of value change affect emergent patterns in design practice: Agent based simulation ,in A Chakrabarti (ed), ICoRD'15 - Research into Design Across Boundaries Volume 1, Springer, India pp. 15-25. (pdf)
  51. Song, T, Becker, K, Gero, J, Deberard, S, Lawanto, O and Reeve, E (2016) Problem decomposition and recomposition in engineering design: A comparison of design behavior between professional engineers, engineering seniors, and engineering freshmen, Journal of Technology Education 27(2): 37-56. DOI: 10.21061/jte.v27i2.a.3 (pdf)
  52. Song, T and Gero, JS Decomposition/recomposition design behavior of student and professional engineers: A pilot study
  53. Sosa, R and Gero, JS (2013) The creative value of bad ideas, in R Stouffs, P Janssen, S Roudavski and B Tuncer (eds), Open Systems: CAADRIA2013, National University of Singapore, pp. 853-862. (pdf)
  54. Sosa, R and Gero, JS (2013) Multilevel computational creativity, in ML Maher, T Veale, R Saunders and O Bown (eds), Proceedings of the Fourth International Conference on Computational Creativity, The University of Sydney, pp. 198-204.
  55. Sosa, R and Gero, JS (2016) Multi-dimensional creativity: A computational perspective, International Journal of Design Creativity and Innovation,4(1): 26-50. DOI:10.1080/21650349.2015.1026941(link) (pdf)
  56. Sosa, R, Rojas, N, Gero, JS and Xu, Q (2016) ShapeStorm: A model of visual divergence for humans and computer, Design Studies 42: 56-85.DOI: http://dx.doi.org/10.1016/j.destud.2015.10.002 (link) (pdf)
  57. Thomas, R and Gero, JS (2015) Social interactions in post-design phases in product development and consumption: Computational social science modeling, in T Taura (ed), Principia Designae - Pre-Design, Design, and Post-Design, Springer, pp. 147-173. (pdf)
  58. Thomas, R and Gero, JS (2014) Conceptual blind spots in complex engineering systems projects: A computational model, DESIGN2014 (to appear) (pdf)
  59. Thomas, R and Gero, JS (2014) Computational modeling of designer-user interactions and their value systems, in N. Gu, S. Watanabe, H. Erhan, M. Hank Haeusler, W. Huang, R. Sosa (eds), Rethinking Comprehensive Design: Speculative Counterculture, Proc. 19th International Conference on Computer-Aided Architectural Design Research in Asia, pp 75-84. (pdf)
  60. Thomas, R and Gero, JS (2015) Moving targets: How consumers change value systems through interaction with designed products and other consumers, in C Weber, S Husung, G Cascini, M Cantamessa, D Marjanovic and M Bordegoni (eds), DS 80-11 Proceedings of the 20th International Conference on Engineering Design (ICED 15) Vol 11:Human Behaviour in Design, Design Education, Design Society, pp. 41-50. (pdf)
  61. Thomas, R and Gero, JS (2016) Engineering the process of institutional innovation in contested territory, in C Diaz and C Nieto (eds), Social Systems Engineering: The Design of Complexity, Wiley (pdf)
  62. Thomas, R and Gero JS When are markets poised for disruption? - A socio-cognitive model of the evolution of consumer values across product lifecycles.
  63. Wells, J, Lammi, M, Grubbs, M, Gero, J, Paretti, M and Williams, C (2016) Characterizing design cognition of high school students: Initial analyses comparing those with and without pre-engineering experiences, Journal of Technology Education (to appear) (pdf)
  64. Williams, CB, Lee, Y, Gero, JS and Paretti, M (2013) Exploring the effect of the design prompt on students' design cognition, ASME IDETC2013 DETC2013–13557 (pdf)
  65. Yu, R and Gero, JS (2015) An empirical foundation for design patterns in parametric design, CAADRIA2015 in Y. Ikeda, C. M. Herr, D. Holzer, S. Kaijima, M. J. Kim. M, A, Schnabel (eds.), Emerging Experience in Past, Present and Future of Digital Architecture, Proceedings of the 20th International Conference of the Association for Computer-Aided Architectural Design Research in Asia - CAADRIA 2015,pp. 551-560. (pdf)
  66. Yu, R and Gero, JS (2015) Design patterns from empirical studies in computer-aided design, in Celani, G, Sperling, D and Franco, J (eds), The Next City - New Technologies and the Future of the Built Environment - CAADFutures, Springer, pp. 493-506. (pdf)
  67. Yu, R and Gero, JS (2016) An empirical basis for the use of design patterns by architects in parametric design, International Journal of Architectural Computing 14(3): 289-302. (pdf) DOI: 10.1177/1478077116663351
  68. Yu, R and Gero, JS (2017) Exploring designers' cognitive load when viewing digital representations of spaces: A pilot study, International Conference on Research in Design - ICoRD17 (pdf) (to appear)
  69. Yu, R, Gero, JS and Gu, N (2013) Impact of using rule algorithms on designers’ behavior in a parametric design environment: Preliminary results from a pilot study, in Zhang, J and Sun C (eds), Global Design and Local Materialization - CAADFutures, Springer, pp. 13-22. (pdf)
  70. Yu, R, Gero, JS and Gu, N (2014) Cognitive effects of using parametric modeling by practicing architects: A preliminary study, in N. Gu, S. Watanabe, H. Erhan, M. Hank Haeusler, W. Huang, R. Sosa (eds), Rethinking Comprehensive Design: Speculative Counterculture, Proc. 19th International Conference on Computer-Aided Architectural Design Research in Asia, pp. 677-686. (pdf)
  71. Yu, R, Gero, JS and Gu, N (2015) Architects' cognitive behaviour in parametric design, International Journal of Architectural Computing 13(1): 83-102. (pdf) DOI 10.1260/1478-0771.13.1.83
  72. Yu, R, Gu, N, Ostwald, M and Gero, JS (2015) Empirical support for problem-solution co-evolution in a parametric design environment, AIEDAM 25(1): 33-44. (pdf) (link)
  73. Yukhina, E and Gero, JS Spatial abilities and designing: A psychometric study of architecture students.

 

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