Lifting the Veil: Drawing Insights about Design Teams from a Cognitively-inspired Computational Model C McComb, J Cagan, K Kotovsky Design Studies 40, 119-142, 2015 | 114 | 2015 |
Learning To Design From Humans: Imitating Human Designers Through Deep Learning A Raina, C McComb, J Cagan Journal of Mechanical Design, 2019 | 107 | 2019 |
Design Repository Effectiveness for 3D Convolutional Neural Networks: Application to Additive Manufacturing G Williams, NA Meisel, TW Simpson, C McComb Journal of Mechanical Design, 2019 | 100 | 2019 |
A cautionary tale about the impact of AI on human design teams G Zhang, A Raina, J Cagan, C McComb Design Studies 72, 100990, 2021 | 93 | 2021 |
Rolling with the Punches: An Examination of Team Performance in a Design Task Subject to Drastic Changes C McComb, J Cagan, K Kotovsky Design Studies 36, 99-121, 2015 | 90 | 2015 |
Optimizing Design Teams Based on Problem Properties: Computational Team Simulations and an Applied Empirical Test C McComb, J Cagan, K Kotovsky Journal of Mechanical Design, 2017 | 88 | 2017 |
Capturing Human Sequence-Learning Abilities in Configuration Design Tasks through Markov Chains C McComb, J Cagan, K Kotovsky Journal of Mechanical Design 139 (9), 2017 | 71 | 2017 |
Mining Process Heuristics from Designer Action Data via Hidden Markov Models C McComb, J Cagan, K Kotovsky Journal of Mechanical Design, 2017 | 69 | 2017 |
Are you feeling me? An exploration of empathy development in engineering design education MA Alzayed, C McComb, J Menold, J Huff, SR Miller Journal of Mechanical Design, 2021 | 53 | 2021 |
KABOOM: An Agent-Based Model for Simulating Cognitive Style in Team Problem Solving S Lapp, K Jablokow, C McComb Design Science, 2019 | 51 | 2019 |
Toward Hybrid Teams: A Platform To Understand Human-Computer Collaboration During the Design of Complex Engineered Systems B Song, NF Soria Zurita, G Zhang, G Stump, C Balon, SW Miller, M Yukish, ... International Design Conference - DESIGN 2020, 2020 | 46 | 2020 |
Decoding the Agility of Artificial Intelligence-Assisted Human Design Teams B Song, JT Gyory, G Zhang, NF Soria Zurita, G Stump, J Martin, SW Miller, ... Design Studies, 2022 | 43 | 2022 |
Transferring Design Strategies from Human to Computer and Across Design Problems A Raina, J Cagan, C McComb Journal of Mechanical Design, 2019 | 39 | 2019 |
Utilizing Markov Chains to Understand Operation Sequencing in Design Tasks C McComb, J Cagan, K Kotovsky Eight International Conference on Design Computing and Cognition, 2016 | 37 | 2016 |
Using Autoencoded Voxel Patterns To Predict Part Mass, Required Support Material, and Build Time C Murphy, NA Meisel, TW Simpson, C McComb 29th Annual International Solid Freeform Fabrication Symposium, 2018 | 35* | 2018 |
When faced with increasing complexity: The effectiveness of AI assistance for drone design B Song, NF Soria Zurita, H Nolte, H Singh, J Cagan, C McComb Journal of Mechanical Design, 2022 | 32 | 2022 |
A Conceptual Framework for Multidisciplinary Design Research with Example Application to Agent-Based Modeling C McComb, K Jablokow Design Studies, 2022 | 31 | 2022 |
Human versus Artificial Intelligence: A Data-Driven Approach to Real-Time Process Management During Complex Engineering Design JT Gyory, NF Soria Zurita, J Martin, C Balon, C McComb, K Kotovsky, ... Journal of Mechanical Design, 2022 | 31 | 2022 |
Using Hidden Markov Models to Uncover Underlying States in Neuroimaging Data for a Design Ideation Task K Goucher-Lambert, C McComb International Conference on Engineering Design, 2019 | 31 | 2019 |
Using Workplace Thriving Theory to Investigate First-Year Engineering Students’ Abilities to Thrive during the Transition to Online Learning due to COVID-19 S Krishnakumar, T Maier, CGP Berdanier, S Ritter, C McComb, J Menold Journal of Engineering Education, 2022 | 29 | 2022 |