Journal Articles

2024

  1. Y.-hsuan Chen, L. B. Kara, and J. Cagan, “BIGNet: A Deep Learning Architecture for Brand Recognition with Geometry-Based Explainability,” Journal of Mechanical Design, vol. 146, no. 051701, May 2024, doi: 10.1115/1.4063760.
  2. B. Babatunde, J. Cagan, and R. E. Taylor, “An Improved Shape Annealing Algorithm for the Generation of Coated Deoxyribonucleic Acid Origami Nanostructures,” Journal of Mechanical Design, vol. 146, no. 051708, May 2024, doi: 10.1115/1.4064242.
  3. G. Zhang, W. Feng, and J. Cagan, “A GPU-Based Parallel Region Classification Method for Continuous Constraint Satisfaction Problems,” Journal of Mechanical Design, vol. 146, no. 041705, Apr. 2024, doi: 10.1115/1.4063158.

2023

  1. S. Rismiller, J. Cagan, and C. McComb, “Delimiting design: expanding the limits of concurrency through set-based concurrent engineering,” Journal of Engineering Design, vol. 34, no. 10, pp. 786–813, Oct. 2023, doi: 10.1080/09544828.2023.2260665.
  2. E. Brownell, J. Cagan, and K. Kotovsky, “A Computational Model of Human Proficiency in Engineering Configuration Design,” Journal of Mechanical Design, vol. 145, no. 101703, Oct. 2023, doi: 10.1115/1.4062861.
  3. E. Kabuye, P. LeDuc, and J. Cagan, “A mixed reality system combining augmented reality, 3D bio-printed physical environments and inertial measurement unit sensors for task planning,” Virtual Reality, vol. 27, no. 3, pp. 1845–1858, Sep. 2023, doi: 10.1007/s10055-023-00777-0.
  4. M. B. Fogelson, C. Tucker, and J. Cagan, “GCP-HOLO: Generating High-Order Linkage Graphs for Path Synthesis,” Journal of Mechanical Design, vol. 145, no. 073303, Jul. 2023, doi: 10.1115/1.4062147.
  5. S. Rismiller, J. Cagan, and C. McComb, “Exploring the impact of set-based concurrent engineering through multi-agent system simulation,” Artificial Intelligence for Engineering Design, Analysis and Manufacturing, vol. 37, p. e16, Jun. 2023, doi: 10.1017/S0890060423000112.
  6. J. T. Gyory, N. F. Soria Zurita, J. Cagan, and C. McComb, “Independence or Interaction? Understanding the Benefits and Limitations of Nominally Inspired and Interacting Sub-Structured Teams in a Virtual and Interdisciplinary Engineering Design Task,” Journal of Mechanical Design, vol. 145, no. 051405, May 2023, doi: 10.1115/1.4056597.
  7. G. Zhang, A. Raina, E. Brownell, and J. Cagan, “Artificial Intelligence Impersonating a Human: The Impact of Design Facilitator Identity on Human Designers,” Journal of Mechanical Design, vol. 145, no. 051404, May 2023, doi: 10.1115/1.4056499.
  8. G. Zhang, D. Allaire, and J. Cagan, “Reducing the Search Space for Global Minimum: A Focused Regions Identification Method for Least Squares Parameter Estimation in Nonlinear Models,” Journal of Computing and Information Science in Engineering, vol. 23, no. 021006, Apr. 2023, doi: 10.1115/1.4054440.
  9. A. Raina, J. Cagan, and C. McComb, “Learning to Design Without Prior Data: Discovering Generalizable Design Strategies Using Deep Learning and Tree Search,” Journal of Mechanical Design, vol. 145, no. 031402, Mar. 2023, doi: 10.1115/1.4056221.
  10. L. Chong, A. Raina, K. Goucher-Lambert, K. Kotovsky, and J. Cagan, “The Evolution and Impact of Human Confidence in Artificial Intelligence and in Themselves on AI-Assisted Decision-Making in Design,” Journal of Mechanical Design, vol. 145, no. 031401, Mar. 2023, doi: 10.1115/1.4055123.
  11. G. Zhang, L. Chong, K. Kotovsky, and J. Cagan, “Trust in an AI versus a Human teammate: The effects of teammate identity and performance on Human-AI cooperation,” Computers in Human Behavior, vol. 139, no. 107536, Feb. 2023, doi: 10.1016/j.chb.2022.107536.
  12. L. Chong, G. Zhang, K. Goucher-Lambert, K. Kotovsky, and J. Cagan, “Data on human decision, feedback, and confidence during an artificial intelligence-assisted decision-making task,” Data in Brief, vol. 46, no. 108884, Feb. 2023, doi: 10.1016/j.dib.2023.108884.
  13. X. Liang, L. White, J. Cagan, A. D. Rollett, and Y. J. Zhang, “Unit-Based Design of Cross-Flow Heat Exchangers for LPBF Additive Manufacturing,” Journal of Mechanical Design, vol. 145, no. 012002, Jan. 2023, doi: 10.1115/1.4055734.

2022

  1. J. T. Gyory, K. Kotovsky, C. McComb, and J. Cagan, “Comparing the Impacts on Team Behaviors Between Artificial Intelligence and Human Process Management in Interdisciplinary Design Teams,” Journal of Mechanical Design, vol. 144, no. 104501, Oct. 2022, doi: 10.1115/1.4054723.
  2. M. E. Whiting, J. Mettenburg, E. M. Novelli, T. Santini, T. Martins, T. S. Ibrahim, P. R. LeDuc, and J. Cagan, “Inducing Vascular Grammars for Anomaly Classification in Brain Angiograms.,” Journal of engineering and science in medical diagnostics and therapy, vol. 5, no. 021002, May 2022, doi: 10.1115/1.4053424.
  3. N. F. Soria Zurita, J. T. Gyory, C. Balon, J. Martin, K. Kotovsky, J. Cagan, and C. McComb, “Data on the Human Versus artificial intelligence process management experiment,” Data in Brief, vol. 41, no. 107917, Apr. 2022, doi: 10.1016/j.dib.2022.107917.
  4. Z. Ball, J. Cagan, and K. Kotovsky, “Supporting management of new product development via a novel conceptual model: an interview driven approach,” Journal of Engineering, Design and Technology, Apr. 2022, doi: 10.1108/JEDT-07-2021-0357.
  5. U. N. Sio, K. Kotovsky, and J. Cagan, “Determinants of creative thinking: the effect of task characteristics in solving remote associate test problems,” Thinking & Reasoning, vol. 28, no. 2, pp. 163–192, Apr. 2022, doi: 10.1080/13546783.2021.1959400.
  6. E. Kabuye, T. Hellebrekers, J. Bobo, N. Keeys, C. Majidi, J. Cagan, and P. Leduc, “Tracking of Scalpel Motions With an Inertial Measurement Unit System,” IEEE Sensors Journal, vol. 22, no. 5, pp. 4651–4660, Mar. 2022, doi: 10.1109/JSEN.2022.3145312.
  7. B. Song, J. T. Gyory, G. Zhang, N. F. Soria Zurita, G. Stump, J. Martin, S. Miller, C. Balon, M. Yukish, C. McComb, and J. Cagan, “Decoding the agility of artificial intelligence-assisted human design teams,” Design Studies, vol. 79, no. 101094, Mar. 2022, doi: 10.1016/j.destud.2022.101094.
  8. B. Song, N. F. Soria Zurita, H. Nolte, H. Singh, J. Cagan, and C. McComb, “When Faced With Increasing Complexity: The Effectiveness of Artificial Intelligence Assistance for Drone Design,” Journal of Mechanical Design, vol. 144, no. 021701, Feb. 2022, doi: 10.1115/1.4051871.
  9. J. T. Gyory, N. F. Soria Zurita, J. Martin, C. Balon, C. McComb, K. Kotovsky, and J. Cagan, “Human Versus Artificial Intelligence: A Data-Driven Approach to Real-Time Process Management During Complex Engineering Design,” Journal of Mechanical Design, vol. 144, no. 021405, Feb. 2022, doi: 10.1115/1.4052488.
  10. A. Raina, J. Cagan, and C. McComb, “Design Strategy Network: A Deep Hierarchical Framework to Represent Generative Design Strategies in Complex Action Spaces,” Journal of Mechanical Design, vol. 144, no. 021404, Feb. 2022, doi: 10.1115/1.4052566.
  11. L. Chong, G. Zhang, K. Goucher-Lambert, K. Kotovsky, and J. Cagan, “Human confidence in artificial intelligence and in themselves: The evolution and impact of confidence on adoption of AI advice,” Computers in Human Behavior, vol. 127, pp. 1–10, no. 107018, Feb. 2022, doi: 10.1016/j.chb.2021.107018.

2021

  1. A. Raina, L. Puentes, J. Cagan, and C. McComb, “Goal-Directed Design Agents: Integrating Visual Imitation With One-Step Lookahead Optimization for Generative Design,” Journal of Mechanical Design, vol. 143, no. 124501, Dec. 2021, doi: 10.1115/1.4051013.
  2. J. T. Gyory, K. Kotovsky, and J. Cagan, “The Influence of Process Management: Uncovering the Impact of Real-Time Managerial Interventions via a Topic Modeling Approach,” Journal of Mechanical Design, vol. 143, no. 111401, Nov. 2021, doi: 10.1115/1.4050748.
  3. E. Brownell, J. Cagan, and K. Kotovsky, “Only as Strong as the Strongest Link: The Relative Contribution of Individual Team Member Proficiency in Configuration Design,” Journal of Mechanical Design, vol. 143, no. 081402, Aug. 2021, doi: 10.1115/1.4049338.
  4. E. Andersen, K. Goucher-Lambert, J. Cagan, and A. Maier, “Attention affordances: Applying attention theory to the design of complex visual interfaces.,” Journal of experimental psychology. Applied, vol. 27, no. 2, pp. 338–351, Jun. 2021, doi: 10.1037/xap0000349.
  5. G. Zhang, N. F. Soria Zurita, G. Stump, B. Song, J. Cagan, and C. McComb, “Data on the design and operation of drones by both individuals and teams,” Data in Brief, vol. 36, p. 107008, Jun. 2021, doi: 10.1016/j.dib.2021.107008.
  6. A. E. Bayrak, C. McComb, J. Cagan, and K. Kotovsky, “A strategic decision-making architecture toward hybrid teams for dynamic competitive problems,” Decision Support Systems, vol. 144, pp. 1–12, no. 113490, May 2021, doi: 10.1016/j.dss.2020.113490.
  7. L. Puentes, J. Cagan, and C. McComb, “Data-Driven Heuristic Induction From Human Design Behavior,” Journal of Computing and Information Science in Engineering, vol. 21, no. 024501, Apr. 2021, doi: 10.1115/1.4048425.
  8. G. Zhang, D. Allaire, and J. Cagan, “Taking the Guess Work Out of the Initial Guess: A Solution Interval Method for Least-Squares Parameter Estimation in Nonlinear Models,” Journal of Computing and Information Science in Engineering, vol. 21, no. 021011, Apr. 2021, doi: 10.1115/1.4048811.
  9. B. Babatunde, D. S. Arias, J. Cagan, and R. E. Taylor, “Generating DNA Origami Nanostructures through Shape Annealing,” Applied Sciences, vol. 11, no. 7, pp. 1–19, no. 2950, Mar. 2021, doi: 10.3390/app11072950.
  10. S. C. Rismiller, J. Cagan, and C. McComb, “An Adversarial Agent-Based Design Method Using Stochastic Stackelberg Game Conditions,” Journal of Mechanical Design, vol. 143, no. 031714, Mar. 2021, doi: 10.1115/1.4049862.
  11. G. Zhang, A. Raina, J. Cagan, and C. McComb, “A cautionary tale about the impact of AI on human design teams,” Design Studies, vol. 72, p. 100990, Jan. 2021, doi: 10.1016/j.destud.2021.100990.

2020

  1. D. Clymer, S. Kostadinov, J. Catov, L. Skvarca, L. Pantanowitz, J. Cagan, and P. LeDuc, “Decidual Vasculopathy Identification in Whole Slide Images Using Multiresolution Hierarchical Convolutional Neural Networks,” The American Journal of Pathology, vol. 190, no. 10, pp. 2111–2122, Oct. 2020, doi: 10.1016/j.ajpath.2020.06.014.
  2. K. Goucher-Lambert, J. T. Gyory, K. Kotovsky, and J. Cagan, “Adaptive Inspirational Design Stimuli: Using Design Output to Computationally Search for Stimuli That Impact Concept Generation,” Journal of Mechanical Design, vol. 142, no. 091401, Sep. 2020, doi: 10.1115/1.4046077.
  3. R. Y. Yeh, K. K. Nischal, P. LeDuc, and J. Cagan, “Written in Blood: Applying Shape Grammars to Retinal Vasculatures,” Translational Vision Science & Technology, vol. 9, no. 9, pp. 1–10, no. 36, Aug. 2020, doi: 10.1167/tvst.9.9.36.
  4. L. Puentes, J. Cagan, and C. McComb, “Heuristic-Guided Solution Search Through a Two-Tiered Design Grammar,” Journal of Computing and Information Science in Engineering, vol. 20, no. 011008, Feb. 2020, doi: 10.1115/1.4044694.
  5. D. R. Clymer, J. Long, C. Latona, S. Akhavan, P. LeDuc, and J. Cagan, “Applying Machine Learning Methods Toward Classification Based on Small Datasets: Application to Shoulder Labral Tears,” Journal of Engineering and Science in Medical Diagnostics and Therapy, vol. 3, no. 011004, Feb. 2020, doi: 10.1115/1.4044645.

2019

  1. A. Raina, J. Cagan, and C. McComb, “Transferring Design Strategies From Human to Computer and Across Design Problems,” Journal of Mechanical Design, vol. 141, no. 114501, Nov. 2019, doi: 10.1115/1.4044258.
  2. A. Raina, C. McComb, and J. Cagan, “Learning to Design From Humans: Imitating Human Designers Through Deep Learning,” Journal of Mechanical Design, vol. 141, no. 111102, Nov. 2019, doi: 10.1115/1.4044256.
  3. N. Gecer Ulu, M. Messersmith, K. Goucher-Lambert, J. Cagan, and L. B. Kara, “Wisdom of Microcrowds in Evaluating Solutions to Esoteric Engineering Problems,” Journal of Mechanical Design, vol. 141, no. 081102, Aug. 2019, doi: 10.1115/1.4042615.
  4. K. Goucher-Lambert and J. Cagan, “Crowdsourcing inspiration: Using crowd generated inspirational stimuli to support designer ideation,” Design Studies, vol. 61, pp. 1–29, Mar. 2019, doi: 10.1016/j.destud.2019.01.001.
  5. K. Goucher-Lambert, J. Moss, and J. Cagan, “A neuroimaging investigation of design ideation with and without inspirational stimuli—understanding the meaning of near and far stimuli,” Design Studies, vol. 60, pp. 1–38, Jan. 2019, doi: 10.1016/j.destud.2018.07.001.
  6. J. T. Gyory, J. Cagan, and K. Kotovsky, “Are you better off alone? Mitigating the underperformance of engineering teams during conceptual design through adaptive process management,” Research in Engineering Design, vol. 30, no. 1, pp. 85–102, Jan. 2019, doi: 10.1007/s00163-018-00303-3.

2018

  1. U. N. Sio, K. Kotovsky, and J. Cagan, “Silence is golden: The effect of verbalization on group performance,” Journal of Experimental Psychology General, vol. 147, no. 6, pp. 939–944, Jun. 2018, doi: 10.1037/xge0000456.
  2. C. McComb, J. Cagan, and K. Kotovsky, “Data on the design of truss structures by teams of engineering students,” Data in Brief, vol. 18, pp. 160–163, Jun. 2018, doi: 10.1016/j.dib.2018.02.078.
  3. M. E. Whiting, P. LeDuc, and J. Cagan, “Efficient probabilistic grammar induction for design,” Artificial Intelligence for Engineering Design, Analysis and Manufacturing, vol. 32, no. 2, pp. 177–188, May 2018, doi: 10.1017/S0890060417000464.

2017

  1. U. N. Sio, K. Kotovsky, and J. Cagan, “The Facilitating Role of Task Alternation on Group Idea Generation,” Journal of Applied Research in Memory and Cognition, vol. 6, no. 4, pp. 486–495, Dec. 2017, doi: 10.1016/j.jarmac.2017.08.005.
  2. C. McComb, J. Cagan, and K. Kotovsky, “Mining Process Heuristics From Designer Action Data via Hidden Markov Models,” Journal of Mechanical Design, vol. 139, no. 111412, Nov. 2017, doi: 10.1115/1.4037308.
  3. D. R. Clymer, J. Cagan, and J. Beuth, “Power–Velocity Process Design Charts for Powder Bed Additive Manufacturing,” Journal of Mechanical Design, vol. 139, no. 100907, Oct. 2017, doi: 10.1115/1.4037302.
  4. C. McComb, J. Cagan, and K. Kotovsky, “Data on the configuration design of internet-connected home cooling systems by engineering students,” Data in Brief, vol. 14, pp. 773–776, Oct. 2017, doi: 10.1016/j.dib.2017.08.050.
  5. P. F. Egan, J. R. Moore, A. J. Ehrlicher, D. A. Weitz, C. Schunn, J. Cagan, and P. LeDuc, “Robust mechanobiological behavior emerges in heterogeneous myosin systems,” Proceedings of the National Academy of Sciences, vol. 114, no. 39, pp. E8147–E8154, Sep. 2017, doi: 10.1073/pnas.1713219114.
  6. C. McComb, J. Cagan, and K. Kotovsky, “Capturing Human Sequence-Learning Abilities in Configuration Design Tasks Through Markov Chains,” Journal of Mechanical Design, vol. 139, no. 091101, Sep. 2017, doi: 10.1115/1.4037185.
  7. U. N. Sio, K. Kotovsky, and J. Cagan, “Interrupted: The roles of distributed effort and incubation in preventing fixation and generating problem solutions,” Memory & Cognition, vol. 45, no. 4, pp. 553–565, May 2017, doi: 10.3758/s13421-016-0684-x.
  8. K. Goucher-Lambert, J. Moss, and J. Cagan, “Inside the Mind: Using Neuroimaging to Understand Moral Product Preference Judgments Involving Sustainability,” Journal of Mechanical Design, vol. 139, no. 041103, Apr. 2017, doi: 10.1115/1.4035859.
  9. C. McComb, J. Cagan, and K. Kotovsky, “Optimizing Design Teams Based on Problem Properties: Computational Team Simulations and an Applied Empirical Test,” Journal of Mechanical Design, vol. 139, no. 041101, Apr. 2017, doi: 10.1115/1.4035793.
  10. C. McComb, K. Goucher-Lambert, and J. Cagan, “Impossible by design? Fairness, strategy, and Arrow’s impossibility theorem,” Design Science, vol. 3, p. e2, Feb. 2017, doi: 10.1017/dsj.2017.1.

2016

  1. B. Sylcott, S. Orsborn, and J. Cagan, “The Effect of Product Representation in Visual Conjoint Analysis,” Journal of Mechanical Design, vol. 138, no. 101104, Oct. 2016, doi: 10.1115/1.4034085.
  2. P. Egan, J. Cagan, C. Schunn, F. Chiu, J. Moore, and P. LeDuc, “The D3 Methodology: Bridging Science and Design for Bio-Based Product Development,” Journal of Mechanical Design, vol. 138, no. 081101, Aug. 2016, doi: 10.1115/1.4033751.
  3. B. DuPont, J. Cagan, and P. Moriarty, “An advanced modeling system for optimization of wind farm layout and wind turbine sizing using a multi-level extended pattern search algorithm,” Energy, vol. 106, pp. 802–814, Jul. 2016, doi: 10.1016/j.energy.2015.12.033.
  4. C. McComb, J. Cagan, and K. Kotovsky, “Drawing Inspiration From Human Design Teams for Better Search and Optimization: The Heterogeneous Simulated Annealing Teams Algorithm,” Journal of Mechanical Design, vol. 138, no. 044501, Apr. 2016, doi: 10.1115/1.4032810.
  5. B. DuPont and J. Cagan, “A hybrid extended pattern search/genetic algorithm for multi-stage wind farm optimization,” Optimization and Engineering, vol. 17, no. 1, pp. 77–103, Mar. 2016, doi: 10.1007/s11081-016-9308-3.

2015

  1. J. Cagan, P. Egan, P. LeDuc, and C. Schunn, “Improving human understanding and design of complex multi-level systems with animation and parametric relationship supports,” Design Science, vol. 1, p. e3, Oct. 2015, doi: 10.1017/dsj.2015.3.
  2. B. Sylcott, J. J. Michalek, and J. Cagan, “Exploring the Role of Interaction Effects in Visual Conjoint Analysis,” Journal of Mechanical Design, vol. 137, no. 094503, Sep. 2015, doi: 10.1115/1.4031054.
  3. C. McComb, J. Cagan, and K. Kotovsky, “Lifting the Veil: Drawing insights about design teams from a cognitively-inspired computational model,” Design Studies, vol. 40, pp. 119–142, Sep. 2015, doi: 10.1016/j.destud.2015.06.005.
  4. K. Goucher-Lambert and J. Cagan, “The Impact of Sustainability on Consumer Preference Judgments of Product Attributes,” Journal of Mechanical Design, vol. 137, no. 081401, Aug. 2015, doi: 10.1115/1.4030271.
  5. U. N. Sio, K. Kotovsky, and J. Cagan, “Fixation or inspiration? A meta-analytic review of the role of examples on design processes,” Design Studies, vol. 39, pp. 70–99, Jul. 2015, doi: 10.1016/j.destud.2015.04.004.
  6. P. Egan, J. Moore, C. Schunn, J. Cagan, and P. LeDuc, “Emergent Systems Energy Laws for Predicting Myosin Ensemble Processivity,” PLOS Computational Biology, vol. 11, no. 4, p. e1004177, Apr. 2015, doi: 10.1371/journal.pcbi.1004177.
  7. P. Egan, J. Cagan, C. Schunn, and P. LeDuc, “Synergistic human-agent methods for deriving effective search strategies: the case of nanoscale design,” Research in Engineering Design, vol. 26, no. 2, pp. 145–169, Apr. 2015, doi: 10.1007/s00163-015-0190-3.
  8. M. Dinar, J. J. Shah, J. Cagan, L. Leifer, J. Linsey, S. M. Smith, and N. V. Hernandez, “Empirical Studies of Designer Thinking: Past, Present, and Future,” Journal of Mechanical Design, vol. 137, no. 021101, Feb. 2015, doi: 10.1115/1.4029025.
  9. C. McComb, J. Cagan, and K. Kotovsky, “Rolling with the punches: An examination of team performance in a design task subject to drastic changes,” Design Studies, vol. 36, pp. 99–121, Jan. 2015, doi: 10.1016/j.destud.2014.10.001.

2014

  1. B. Sylcott and J. Cagan, “Modeling Aggregate Choice for Form and Function Through Metaconjoint Analysis,” Journal of Mechanical Design, vol. 136, no. 124501, Dec. 2014, doi: 10.1115/1.4028274.
  2. N. Tovares, P. Boatwright, and J. Cagan, “Experiential Conjoint Analysis: An Experience-Based Method for Eliciting, Capturing, and Modeling Consumer Preference,” Journal of Mechanical Design, vol. 136, no. 101404, Oct. 2014, doi: 10.1115/1.4027985.

2013

  1. K. Fu, J. Chan, C. Schunn, J. Cagan, and K. Kotovsky, “Expert representation of design repository space: A comparison to and validation of algorithmic output,” Design Studies, vol. 34, no. 6, pp. 729–762, Nov. 2013, doi: 10.1016/j.destud.2013.06.002.
  2. B. Sylcott, J. Cagan, and G. Tabibnia, “Understanding Consumer Tradeoffs Between Form and Function Through Metaconjoint and Cognitive Neuroscience Analyses,” Journal of Mechanical Design, vol. 135, no. 101002, Oct. 2013, doi: 10.1115/1.4024975.
  3. B. Sylcott, J. Cagan, and G. Tabibnia, “Understanding Consumer Tradeoffs Between Form and Function Through Metaconjoint and Cognitive Neuroscience Analyses,” Journal of Mechanical Design, vol. 135, no. 101002, Oct. 2013, doi: 10.1115/1.4024975.
  4. P. F. Egan, C. Schunn, J. Cagan, and P. R. LeDuc, “Design of Complex Biologically Based Nanoscale Systems Using Multi-Agent Simulations and Structure–Behavior–Function Representations,” Journal of Mechanical Design, vol. 135, no. 061005, Jun. 2013, doi: 10.1115/1.4024227.
  5. K. Fu, J. Cagan, K. Kotovsky, and K. Wood, “Discovering Structure in Design Databases Through Functional and Surface Based Mapping,” Journal of Mechanical Design, vol. 135, no. 031006, Mar. 2013, doi: 10.1115/1.4023484.
  6. K. Fu, J. Chan, J. Cagan, K. Kotovsky, C. Schunn, and K. Wood, “The Meaning of ‘Near’ and ‘Far’: The Impact of Structuring Design Databases and the Effect of Distance of Analogy on Design Output,” Journal of Mechanical Design, vol. 135, no. 021007, Feb. 2013, doi: 10.1115/1.4023158.
  7. I. Tseng, J. Cagan, K. Kotovsky, and M. Wood, “Form Function Fidelity,” Journal of Mechanical Design, vol. 135, no. 011006, Jan. 2013, doi: 10.1115/1.4007933.

2012

  1. I. Tseng, J. Cagan, and K. Kotovsky, “Concurrent Optimization of Computationally Learned Stylistic Form and Functional Goals,” Journal of Mechanical Design, vol. 134, no. 111006, Nov. 2012, doi: 10.1115/1.4007304.
  2. B. L. DuPont and J. Cagan, “An Extended Pattern Search Approach to Wind Farm Layout Optimization,” Journal of Mechanical Design, vol. 134, no. 081002, Aug. 2012, doi: 10.1115/1.4006997.

2011

  1. J. Chan, K. Fu, C. Schunn, J. Cagan, K. Wood, and K. Kotovsky, “On the Benefits and Pitfalls of Analogies for Innovative Design: Ideation Performance Based on Analogical Distance, Commonness, and Modality of Examples,” Journal of Mechanical Design, vol. 133, no. 081004, Aug. 2011, doi: 10.1115/1.4004396.
  2. A. Chakrabarti, K. Shea, R. Stone, J. Cagan, M. Campbell, N. V. Hernandez, and K. L. Wood, “Computer-Based Design Synthesis Research: An Overview,” Journal of Computing and Information Science in Engineering, vol. 11, no. 021003, Jun. 2011, doi: 10.1115/1.3593409.
  3. L. Hanna Landry and J. Cagan, “Search Strategies in Evolutionary Multi-Agent Systems: The Effect of Cooperation and Reward on Solution Quality,” Journal of Mechanical Design, vol. 133, no. 061005, Jun. 2011, doi: 10.1115/1.4004192.
  4. P. Boatwright and J. Cagan, “Product Emotions: The Way to Captivate Customers,” The European Business Review, pp. 49–52, Apr. 2011.
  5. L. H. Landry and J. Cagan, “Protocol-Based Multi-Agent Systems: Examining the Effect of Diversity, Dynamism, and Cooperation in Heuristic Optimization Approaches,” Journal of Mechanical Design, vol. 133, no. 021001, Feb. 2011, doi: 10.1115/1.4003290.
  6. J. Moss, K. Kotovsky, and J. Cagan, “The effect of incidental hints when problems are suspended before, during, or after an impasse.,” Journal of experimental psychology. Learning, memory, and cognition, vol. 37, no. 1, pp. 140–148, Jan. 2011, doi: 10.1037/a0021206.

2010

  1. K. Fu, J. Cagan, and K. Kotovsky, “Design Team Convergence: The Influence of Example Solution Quality,” Journal of Mechanical Design, vol. 132, no. 111005, Nov. 2010, doi: 10.1115/1.4002202.
  2. J. S. Linsey, I. Tseng, K. Fu, J. Cagan, K. L. Wood, and C. Schunn, “A Study of Design Fixation, Its Mitigation and Perception in Engineering Design Faculty,” Journal of Mechanical Design, vol. 132, no. 041003, Apr. 2010, doi: 10.1115/1.4001110.

2009

  1. S. Orsborn and J. Cagan, “Multiagent Shape Grammar Implementation: Automatically Generating Form Concepts According to a Preference Function,” Journal of Mechanical Design, vol. 131, no. 121007, Dec. 2009, doi: 10.1115/1.4000449.
  2. S. Orsborn, J. Cagan, and P. Boatwright, “Quantifying Aesthetic Form Preference in a Utility Function,” Journal of Mechanical Design, vol. 131, no. 061001, Jun. 2009, doi: 10.1115/1.3116260.
  3. J. Olson, J. Cagan, and K. Kotovsky, “Unlocking Organizational Potential: A Computational Platform for Investigating Structural Interdependence in Design,” Journal of Mechanical Design, vol. 131, no. 031001, Mar. 2009, doi: 10.1115/1.3066501.
  4. P. Boatwright, J. Cagan, D. Kapur, and A. Saltiel, “A step‐by‐step process to build valued brands,” Journal of Product & Brand Management, vol. 18, no. 1, pp. 38–49, Feb. 2009, doi: 10.1108/10610420910933353.
  5. L. Hanna and J. Cagan, “Evolutionary Multi-Agent Systems: An Adaptive and Dynamic Approach to Optimization,” Journal of Mechanical Design, vol. 131, no. 011010, Jan. 2009, doi: 10.1115/1.3013847.

2008

  1. I. Tseng, J. Moss, J. Cagan, and K. Kotovsky, “The role of timing and analogical similarity in the stimulation of idea generation in design,” Design Studies, vol. 29, no. 3, pp. 203–221, May 2008, doi: 10.1016/j.destud.2008.01.003.
  2. S. Orsborn, J. Cagan, and P. Boatwright, “A methodology for creating a statistically derived shape grammar composed of non-obvious shape chunks,” Research in Engineering Design, vol. 18, no. 4, pp. 181–196, Jan. 2008, doi: 10.1007/s00163-007-0035-9.
  3. S. Orsborn, P. Boatwright, and J. Cagan, “Identifying product shape relationships using principal component analysis,” Research in Engineering Design, vol. 18, no. 4, pp. 163–180, Jan. 2008, doi: 10.1007/s00163-007-0036-8.

2007

  1. J. Moss, K. Kotovsky, and J. Cagan, “The influence of open goals on the acquisition of problem-relevant information.,” Journal of Experimental Psychology: Learning, Memory, and Cognition, vol. 33, no. 5, pp. 876–891, Sep. 2007, doi: 10.1037/0278-7393.33.5.876.
  2. J. Cagan, “The Cognition of Engineering Design—An Opportunity of Impact,” Cognitive Science, vol. 31, no. 2, pp. 193–195, Mar. 2007, doi: 10.1080/15326900701221181.
  3. C. Aladahalli, J. Cagan, and K. Shimada, “Objective Function Effect Based Pattern Search—Theoretical Framework Inspired by 3D Component Layout,” Journal of Mechanical Design, vol. 129, no. 3, pp. 243–254, Mar. 2007, doi: 10.1115/1.2406095.
  4. J. Cagan, “A look at the emerging science of innovation,” Artificial Intelligence for Engineering Design, Analysis and Manufacturing, vol. 21, no. 1, pp. 13–14, Jan. 2007, doi: 10.1017/S0890060407070060.

2006

  1. J. P. McCormack and J. Cagan, “Curve-Based Shape Matching: Supporting Designers’ Hierarchies through Parametric Shape Recognition of Arbitrary Geometry,” Environment and Planning B: Planning and Design, vol. 33, no. 4, pp. 523–540, Aug. 2006, doi: 10.1068/b31150.
  2. S. Orsborn, J. Cagan, R. Pawlicki, and R. C. Smith, “Creating cross-over vehicles: Defining and combining vehicle classes using shape grammars,” Artificial Intelligence for Engineering Design, Analysis and Manufacturing, vol. 20, no. 3, pp. 217–246, Aug. 2006, doi: 10.1017/S0890060406060185.
  3. J. Moss, K. Kotovsky, and J. Cagan, “The Role of Functionality in the Mental Representations of Engineering Students: Some Differences in the Early Stages of Expertise,” Cognitive Science, vol. 30, no. 1, pp. 65–93, Jan. 2006, doi: 10.1207/s15516709cog0000_45.

2005

  1. J. Cagan, M. I. Campbell, S. Finger, and T. Tomiyama, “A Framework for Computational Design Synthesis: Model and Applications,” Journal of Computing and Information Science in Engineering, vol. 5, no. 3, pp. 171–181, Sep. 2005, doi: 10.1115/1.2013289.
  2. C. Aladahalli, J. Cagan, and K. Shimada, “Objective Function Effect Based Pattern Search—An Implementation for 3D Component Layout,” Journal of Mechanical Design, vol. 129, no. 3, pp. 255–265, Mar. 2005, doi: 10.1115/1.2406096.

2004

  1. J. Moss, J. Cagan, and K. Kotovsky, “Learning from design experience in an agent-based design system,” Research in Engineering Design, vol. 15, no. 2, pp. 77–92, Jul. 2004, doi: 10.1007/s00163-003-0042-4.
  2. J. T. Olson and J. Cagan, “Interagent ties in team-based computational configuration design,” Artificial Intelligence for Engineering Design, Analysis and Manufacturing, vol. 18, no. 2, pp. 135–152, May 2004, doi: 10.1017/S0890060404040107.
  3. J. P. McCormack, J. Cagan, and C. M. Vogel, “Speaking the Buick language: capturing, understanding, and exploring brand identity with shape grammars,” Design Studies, vol. 25, no. 1, pp. 1–29, Jan. 2004, doi: 10.1016/S0142-694X(03)00023-1.
  4. S. Deshpande and J. Cagan, “An Agent Based Optimization Approach to Manufacturing Process Planning,” Journal of Mechanical Design, vol. 126, no. 1, pp. 46–55, Jan. 2004, doi: 10.1115/1.1641186.
  5. S. Yin and J. Cagan, “Exploring the Effectiveness of Various Patterns in an Extended Pattern Search Layout Algorithm,” Journal of Mechanical Design, vol. 126, no. 1, pp. 22–28, Jan. 2004, doi: 10.1115/1.1641185.
  6. S. Yin, J. Cagan, and P. Hodges, “Layout Optimization of Shapeable Components With Extended Pattern Search Applied to Transmission Design,” Journal of Mechanical Design, vol. 126, no. 1, pp. 188–191, Jan. 2004, doi: 10.1115/1.1637663.

2003

  1. M. I. Campbell, J. Cagan, and K. Kotovsky, “The A-Design approach to managing automated design synthesis,” Research in Engineering Design, vol. 14, no. 1, pp. 12–24, Feb. 2003, doi: 10.1007/s00163-002-0025-x.

2002

  1. J. P. McCormack and J. Cagan, “Supporting Designers’ Hierarchies through Parametric Shape Recognition,” Environment and Planning B: Planning and Design, vol. 29, no. 6, pp. 913–931, Dec. 2002, doi: 10.1068/b12839.
  2. J. Cagan and J. P. McCormack, “Designing inner hood panels through a shape grammar based framework,” Artificial Intelligence for Engineering Design, Analysis and Manufacturing, vol. 16, no. 4, pp. 273–290, Sep. 2002, doi: 10.1017/S089006040216402X.
  3. M. J. Pugliese and J. Cagan, “Capturing a rebel: modeling the Harley-Davidson brand through a motorcycle shape grammar,” Research in Engineering Design, vol. 13, no. 3, pp. 139–156, Sep. 2002, doi: 10.1007/s00163-002-0013-1.
  4. J. Cagan, K. Shimada, and S. Yin, “A survey of computational approaches to three-dimensional layout problems,” Computer-Aided Design, vol. 34, no. 8, pp. 597–611, Jul. 2002, doi: 10.1016/S0010-4485(01)00109-9.

2000

  1. M. Agarwal and J. Cagan, “On the use of shape grammars as expert systems for geometry-based engineering design,” Artificial Intelligence for Engineering Design, Analysis and Manufacturing, vol. 14, no. 5, pp. 431–439, Nov. 2000, doi: 10.1017/S089006040014507X.
  2. M. Agarwal, J. Cagan, and G. Stiny, “A Micro Language: Generating MEMS Resonators by Using a Coupled Form — Function Shape Grammar,” Environment and Planning B: Planning and Design, vol. 27, no. 4, pp. 615–626, Aug. 2000, doi: 10.1068/b2619.
  3. S. Yin and J. Cagan, “An Extended Pattern Search Algorithm for Three-Dimensional Component Layout,” Journal of Mechanical Design, vol. 122, no. 1, pp. 102–108, Mar. 2000, doi: 10.1115/1.533550.
  4. M. I. Campbell, J. Cagan, and K. Kotovsky, “Agent-Based Synthesis of Electromechanical Design Configurations,” Journal of Mechanical Design, vol. 122, no. 1, pp. 61–69, Mar. 2000, doi: 10.1115/1.533546.

1999

  1. M. I. Campbell, J. Cagan, and K. Kotovsky, “A-Design: An Agent-Based Approach to Conceptual Design in a Dynamic Environment,” Research in Engineering Design, vol. 11, no. 3, pp. 172–192, Oct. 1999, doi: 10.1007/s001630050013.
  2. K. Shea and J. Cagan, “Languages and semantics of grammatical discrete structures,” Artificial Intelligence for Engineering Design, Analysis and Manufacturing, vol. 13, no. 4, pp. 241–251, Sep. 1999, doi: 10.1017/S0890060499134012.
  3. M. Agarwal, J. Cagan, and K. G. Constantine, “Influencing generative design through continuous evaluation: Associating costs with the coffeemaker shape grammar,” Artificial Intelligence for Engineering Design, Analysis and Manufacturing, vol. 13, no. 4, pp. 253–275, Sep. 1999, doi: 10.1017/S0890060499134024.
  4. K. Shea and J. Cagan, “The design of novel roof trusses with shape annealing: assessing the ability of a computational method in aiding structural designers with varying design intent,” Design Studies, vol. 20, no. 1, pp. 3–23, Jan. 1999, doi: 10.1016/S0142-694X(98)00019-2.

1998

  1. J. Cagan, D. Degentesh, and S. Yin, “A simulated annealing-based algorithm using hierarchical models for general three-dimensional component layout,” Computer-Aided Design, vol. 30, no. 10, pp. 781–790, Sep. 1998, doi: 10.1016/S0010-4485(98)00036-0.
  2. S. Szykman, J. Cagan, and P. Weisser, “An Integrated Approach to Optimal Three Dimensional Layout and Routing,” Journal of Mechanical Design, vol. 120, no. 3, pp. 510–512, Sep. 1998, doi: 10.1115/1.2829180.
  3. W. Choi, T. R. Kurfess, and J. Cagan, “Sampling uncertainty in coordinate measurement data analysis,” Precision Engineering, vol. 22, no. 3, pp. 153–163, Jul. 1998, doi: 10.1016/S0141-6359(98)00011-7.
  4. M. Agarwal and J. Cagan, “A Blend of Different Tastes: The Language of Coffeemakers,” Environment and Planning B: Planning and Design, vol. 25, no. 2, pp. 205–226, Apr. 1998, doi: 10.1068/b250205.
  5. L. C. Schmidt and J. Cagan, “Optimal Configuration Design: An Integrated Approach Using Grammars,” Journal of Mechanical Design, vol. 120, no. 1, pp. 2–9, Mar. 1998, doi: 10.1115/1.2826672.

1997

  1. L. C. Schmidt and J. Cagan, “GGREADA: A graph grammar-based machine design algorithm,” Research in Engineering Design, vol. 9, no. 4, pp. 195–213, Dec. 1997, doi: 10.1007/BF01589682.
  2. K. Shea and J. Cagan, “Innovative dome design: Applying geodesic patterns with shape annealing,” Artificial Intelligence for Engineering Design, Analysis and Manufacturing, vol. 11, no. 5, pp. 379–394, Nov. 1997, doi: 10.1017/S0890060400003310.
  3. J. Cagan and K. Kotovsky, “Simulated Annealing and the Generation of the Objective Function: A Model of Learning During Problem Solving,” Computational Intelligence, vol. 13, no. 4, pp. 534–581, Nov. 1997, doi: 10.1111/0824-7935.00051.
  4. C. M. Vogel, J. Cagan, and J. H. Mather, “Teaching Integrated Product Development: Educational Innovation at Carnegie Mellon University,” Design Management Journal (Former Series), vol. 8, no. 4, pp. 58–65, Oct. 1997, doi: 10.1111/j.1948-7169.1997.tb00184.x.
  5. K. Shea, J. Cagan, and S. J. Fenves, “A Shape Annealing Approach to Optimal Truss Design With Dynamic Grouping of Members,” Journal of Mechanical Design, vol. 119, no. 3, pp. 388–394, Sep. 1997, doi: 10.1115/1.2826360.
  6. H. Vasseur, T. R. Kurfess, and J. Cagan, “Use of a Quality Loss Function to Select Statistical Tolerances,” Journal of Manufacturing Science and Engineering, vol. 119, no. 3, pp. 410–416, Aug. 1997, doi: 10.1115/1.2831121.
  7. M. I. Campbell, C. H. Amon, and J. Cagan, “Optimal Three-Dimensional Placement of Heat Generating Electronic Components,” Journal of Electronic Packaging, vol. 119, no. 2, pp. 106–113, Jun. 1997, doi: 10.1115/1.2792210.
  8. K. N. Brown and J. Cagan, “Optimized process planning by generative simulated annealing,” Artificial Intelligence for Engineering Design, Analysis and Manufacturing, vol. 11, no. 3, pp. 219–235, Jun. 1997, doi: 10.1017/S0890060400003140.
  9. S. Szykman and J. Cagan, “Constrained Three-Dimensional Component Layout Using Simulated Annealing,” Journal of Mechanical Design, vol. 119, no. 1, pp. 28–35, Mar. 1997, doi: 10.1115/1.2828785.
  10. J. Cagan, I. E. Grossmann, and J. Hooker, “A conceptual framework for combining artificial intelligence and optimization in engineering design,” Research in Engineering Design, vol. 9, no. 1, pp. 20–34, Mar. 1997, doi: 10.1007/BF01607055.

1996

  1. B. C. Williams and J. Cagan, “ACTIVITY ANALYSIS: SIMPLIFYING OPTIMAL DESIGN PROBLEMS THROUGH QUALITATIVE PARTITIONING†,” Engineering Optimization, vol. 27, no. 2, pp. 109–137, Sep. 1996, doi: 10.1080/03052159608941402.
  2. S. Szykman and J. Cagan, “Synthesis of Optimal Nonorthogonal Routes,” Journal of Mechanical Design, vol. 118, no. 3, pp. 419–424, Sep. 1996, doi: 10.1115/1.2826902.

1995

  1. L. C. Schmidt and J. Cagan, “Recursive annealing: A computational model for machine design,” Research in Engineering Design, vol. 7, no. 2, pp. 102–125, Jun. 1995, doi: 10.1007/BF01606905.
  2. G. Reddy and J. Cagan, “An Improved Shape Annealing Algorithm For Truss Topology Generation,” Journal of Mechanical Design, vol. 117, no. 2A, pp. 315–321, Jun. 1995, doi: 10.1115/1.2826141.
  3. S. Szykman and J. Cagan, “A Simulated Annealing-Based Approach to Three-Dimensional Component Packing,” Journal of Mechanical Design, vol. 117, no. 2A, pp. 308–314, Jun. 1995, doi: 10.1115/1.2826140.
  4. G. M. Reddy and J. Cagan, “Optimally Directed Truss Topology Generation Using Shape Annealing,” Journal of Mechanical Design, vol. 117, no. 1, pp. 206–209, Mar. 1995, doi: 10.1115/1.2826110.

1994

  1. J. Cagan, “Shape annealing solution to the constrained geometric knapsack problem,” Computer-Aided Design, vol. 26, no. 10, pp. 763–770, Oct. 1994, doi: https://doi.org/10.1016/0010-4485(94)90014-0.

1993

  1. H. Vasseur, J. Cagan, and T. R. Kurfess, “Economic analysis of quality innovation,” Manufacturing Review, vol. 6, pp. 343–343, Dec. 1993, [Online]. Available at: https://www.cmu.edu/me/idig/publications/Economic%20Analysis%20of%20Quality%20Innovation.pdf.
  2. J. Cagan and W. J. Mitchell, “Optimally Directed Shape Generation by Shape Annealing,” Environment and Planning B: Planning and Design, vol. 20, no. 1, pp. 5–12, Feb. 1993, doi: 10.1068/b200005.

1992

  1. V. Aelion, J. Cagan, and G. J. Powers, “Input Variable Expansion: An algorithmic design generation technique,” Research in Engineering Design, vol. 4, no. 2, pp. 101–113, Jun. 1992, doi: 10.1007/BF01580148.

1991

  1. V. Aelion, J. Cagan, and G. Powers, “Inducing optimally directed innovative designs from chemical engineering first principles,” Computers & Chemical Engineering, vol. 15, no. 9, pp. 619–627, Sep. 1991, doi: https://doi.org/10.1016/0098-1354(91)87023-3.
  2. J. Cagan and A. M. Agogino, “Dimensional Variable Expansion—A formal approach to innovative design,” Research in Engineering Design, vol. 3, no. 2, pp. 75–85, Jun. 1991, doi: 10.1007/BF01581341.
  3. J. Cagan and A. M. Agogino, “Inducing constraint activity in innovative design,” Artificial Intelligence for Engineering Design, Analysis and Manufacturing, vol. 5, no. 1, pp. 47–61, 1991, doi: 10.1017/S0890060400002535.

1987

  1. J. Cagan and V. Genberg, “PLASHTRAN: An expert consultant on two-dimensional finite element modeling techniques,” Engineering with Computers, vol. 2, no. 4, pp. 199–208, Dec. 1987, doi: 10.1007/BF01276412.
  2. J. Cagan and A. M. Agogino, “Innovative design of mechanical structures from first principles,” Artificial Intelligence for Engineering Design, Analysis and Manufacturing, vol. 1, no. 3, pp. 169–189, 1987, doi: 10.1017/S0890060400000275.

1986

  1. J. Cagan and L. A. Taber, “Large Deflection Stability of Spherical Shells With Ring Loads,” Journal of Applied Mechanics, vol. 53, no. 4, pp. 897–901, Dec. 1986, doi: 10.1115/1.3171878.

Mechanical Engineering Department at the Carnegie Mellon University