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Kenneth Kotovsky
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Journal Articles

Learning Proficient Behavior With Computational Agents in Engineering Configuration Design

Ethan Brownell, Kenneth Kotovsky, Jonathan Cagan
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Technical Briefs
J. Mech. Des. February 2025, 147(2): 024501.
Paper No: MD-23-1407
https://doi.org/10.1115/1.4066126
Published Online: August 28, 2024
View Article titled, Learning Proficient Behavior With Computational Agents in Engineering Configuration Design
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Topics: Design
Journal Articles

Human Designers' Dynamic Confidence and Decision-Making When Working With More Than One Artificial Intelligence

Leah Chong, Kenneth Kotovsky, Jonathan Cagan
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. August 2024, 146(8): 081402.
Paper No: MD-23-1354
https://doi.org/10.1115/1.4064565
Published Online: March 5, 2024
View Article titled, Human Designers' Dynamic Confidence and Decision-Making When Working With More Than One Artificial Intelligence
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Topics: Artificial intelligence, Decision making, Design, Feedback, Teams
Journal Articles

A Computational Model of Human Proficiency in Engineering Configuration Design

Ethan Brownell, Jonathan Cagan, Kenneth Kotovsky
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. October 2023, 145(10): 101703.
Paper No: MD-22-1733
https://doi.org/10.1115/1.4062861
Published Online: July 19, 2023
View Article titled, A Computational Model of Human Proficiency in Engineering Configuration Design
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Topics: Design, Teams
Proceedings Papers

Does Design Proficiency Matter in Engineering Design Teams? A Computational Model and Experiments

Ethan Brownell, Jonathan Cagan, Kenneth Kotovsky
Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A041, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-89318
https://doi.org/10.1115/DETC2022-89318
View Paper titled, Does Design Proficiency Matter in Engineering Design Teams? A Computational Model and Experiments
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Topics: Computer simulation, Design, Engineering design, Teams
Proceedings Papers

A Real-Time Artificial Intelligence Process Manager for Engineering Design

Joshua T. Gyory, Nicolás F. Soria Zurita, Jay D. Martin, Corey M. Balon, Christopher McComb, Kenneth Kotovsky, Jonathan Cagan
Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A018, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-88609
https://doi.org/10.1115/DETC2022-88609
View Paper titled, A Real-Time Artificial Intelligence Process Manager for Engineering Design
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Topics: Artificial intelligence, Engineering design, Teams, Design, Performance, Path planning
Proceedings Papers

Collaborative Design Decision-Making With Artificial Intelligence: Exploring the Evolution and Impact of Human Confidence in AI and in Themselves

Leah Chong, Ayush Raina, Kosa Goucher-Lambert, Kenneth Kotovsky, Jonathan Cagan
Proc. ASME. IDETC-CIE2022, Volume 6: 34th International Conference on Design Theory and Methodology (DTM), V006T06A021, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-88574
https://doi.org/10.1115/DETC2022-88574
View Paper titled, Collaborative Design Decision-Making With Artificial Intelligence: Exploring the Evolution and Impact of Human Confidence in AI and in Themselves
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Topics: Artificial intelligence, Collaboration, Decision making, Design
Journal Articles

The Evolution and Impact of Human Confidence in Artificial Intelligence and in Themselves on AI-Assisted Decision-Making in Design

Leah Chong, Ayush Raina, Kosa Goucher-Lambert, Kenneth Kotovsky, Jonathan Cagan
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. March 2023, 145(3): 031401.
Paper No: MD-22-1057
https://doi.org/10.1115/1.4055123
Published Online: October 31, 2022
View Article titled, The Evolution and Impact of Human Confidence in Artificial Intelligence and in Themselves on AI-Assisted Decision-Making in Design
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Topics: Artificial intelligence, Decision making, Design, Feedback, Trusses (Building)
Journal Articles

Comparing the Impacts on Team Behaviors Between Artificial Intelligence and Human Process Management in Interdisciplinary Design Teams

Joshua T. Gyory, Kenneth Kotovsky, Christopher McComb, Jonathan Cagan
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Technical Briefs
J. Mech. Des. October 2022, 144(10): 104501.
Paper No: MD-21-1606
https://doi.org/10.1115/1.4054723
Published Online: June 30, 2022
View Article titled, Comparing the Impacts on Team Behaviors Between Artificial Intelligence and Human Process Management in Interdisciplinary Design Teams
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Topics: Design, Teams, Artificial intelligence, Process management (Business automation)
Journal Articles

Human Versus Artificial Intelligence: A Data-Driven Approach to Real-Time Process Management During Complex Engineering Design

Joshua T. Gyory, Nicolás F. Soria Zurita, Jay Martin, Corey Balon, Christopher McComb, Kenneth Kotovsky, Jonathan Cagan
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. February 2022, 144(2): 021405.
Paper No: MD-21-1267
https://doi.org/10.1115/1.4052488
Published Online: October 14, 2021
View Article titled, Human Versus Artificial Intelligence: A Data-Driven Approach to Real-Time Process Management During Complex Engineering Design
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Topics: Design, Teams, Artificial intelligence
Journal Articles

The Influence of Process Management: Uncovering the Impact of Real-Time Managerial Interventions via a Topic Modeling Approach

Joshua T. Gyory, Kenneth Kotovsky, Jonathan Cagan
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. November 2021, 143(11): 111401.
Paper No: MD-20-1764
https://doi.org/10.1115/1.4050748
Published Online: May 21, 2021
View Article titled, The Influence of Process Management: Uncovering the Impact of Real-Time Managerial Interventions via a Topic Modeling Approach
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Topics: Design, Modeling, Process management (Business automation), Teams
Proceedings Papers

Agent-Based Synthesis of Electro-Mechanical Design Configurations

Matthew Campbell, Jonathan Cagan, Kenneth Kotovsky
Proc. ASME. DETC98, Volume 3: 10th International Conference on Design Theory and Methodology, V003T03A003, September 13–16, 1998
Publisher: American Society of Mechanical Engineers
Paper No: DETC98/DTM-5673
https://doi.org/10.1115/DETC98/DTM-5673
View Paper titled, Agent-Based Synthesis of Electro-Mechanical Design Configurations
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Topics: Design, Algorithms, Computer software, Engineering design
Journal Articles

Only as Strong as the Strongest Link: The Relative Contribution of Individual Team Member Proficiency in Configuration Design

Ethan Brownell, Jonathan Cagan, Kenneth Kotovsky
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. August 2021, 143(8): 081402.
Paper No: MD-20-1706
https://doi.org/10.1115/1.4049338
Published Online: February 11, 2021
View Article titled, Only as Strong as the Strongest Link: The Relative Contribution of Individual Team Member Proficiency in Configuration Design
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Topics: Design, Teams, Topology
Proceedings Papers

Only As Strong As the Strongest Link: The Impact of Individual Team Member Proficiency in Configuration Design

Ethan Brownell, Jonathan Cagan, Kenneth Kotovsky
Proc. ASME. IDETC-CIE2020, Volume 8: 32nd International Conference on Design Theory and Methodology (DTM), V008T08A022, August 17–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: DETC2020-22152
https://doi.org/10.1115/DETC2020-22152
View Paper titled, Only As Strong As the Strongest Link: The Impact of Individual Team Member Proficiency in Configuration Design
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Topics: Design, Teams, Engineering design, Modeling
Proceedings Papers

A Topic Modeling Approach to Study the Impact of Manager Interventions on Design Team Cognition

Joshua T. Gyory, Kenneth Kotovsky, Jonathan Cagan
Proc. ASME. IDETC-CIE2020, Volume 8: 32nd International Conference on Design Theory and Methodology (DTM), V008T08A023, August 17–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: DETC2020-22186
https://doi.org/10.1115/DETC2020-22186
View Paper titled, A Topic Modeling Approach to Study the Impact of Manager Interventions on Design Team Cognition
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Topics: Design, Modeling, Teams, Experimental design, Process management (Business automation)
Journal Articles

Adaptive Inspirational Design Stimuli: Using Design Output to Computationally Search for Stimuli That Impact Concept Generation

Kosa Goucher-Lambert, Joshua T. Gyory, Kenneth Kotovsky, Jonathan Cagan
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. September 2020, 142(9): 091401.
Paper No: MD-19-1478
https://doi.org/10.1115/1.4046077
Published Online: March 9, 2020
View Article titled, Adaptive Inspirational Design Stimuli: Using Design Output to Computationally Search for Stimuli That Impact Concept Generation
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Topics: Design, Innovation
Proceedings Papers

A Differential Game Approach to Dynamic Competitive Decisions Toward Human-Computer Collaboration

Alparslan Emrah Bayrak, Christopher McComb, Jonathan Cagan, Kenneth Kotovsky
Proc. ASME. IDETC-CIE2019, Volume 7: 31st International Conference on Design Theory and Methodology, V007T06A017, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-97619
https://doi.org/10.1115/DETC2019-97619
View Paper titled, A Differential Game Approach to Dynamic Competitive Decisions Toward Human-Computer Collaboration
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Topics: Collaboration, Computers
Proceedings Papers

Computationally Derived Adaptive Inspirational Stimuli for Real-Time Design Support During Concept Generation

Kosa Goucher-Lambert, Joshua T. Gyory, Kenneth Kotovsky, Jonathan Cagan
Proc. ASME. IDETC-CIE2019, Volume 7: 31st International Conference on Design Theory and Methodology, V007T06A009, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-98188
https://doi.org/10.1115/DETC2019-98188
View Paper titled, Computationally Derived Adaptive Inspirational Stimuli for Real-Time Design Support During Concept Generation
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Topics: Design, Databases, Performance, Dimensions, Patents
Proceedings Papers

Should Teams Collaborate During Conceptual Engineering Design? An Experimental Study

Joshua T. Gyory, Jonathan Cagan, Kenneth Kotovsky
Proc. ASME. IDETC-CIE2018, Volume 7: 30th International Conference on Design Theory and Methodology, V007T06A026, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-85602
https://doi.org/10.1115/DETC2018-85602
View Paper titled, Should Teams Collaborate During Conceptual Engineering Design? An Experimental Study
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Topics: Engineering design, Teams, Conceptual design, Design, Engineering students, Performance, Undergraduate students
Proceedings Papers

Validating a Tool for Predicting Problem-Specific Optimized Team Characteristics

Christopher McComb, Jonathan Cagan, Kenneth Kotovsky
Proc. ASME. IDETC-CIE2017, Volume 7: 29th International Conference on Design Theory and Methodology, V007T06A020, August 6–9, 2017
Publisher: American Society of Mechanical Engineers
Paper No: DETC2017-67430
https://doi.org/10.1115/DETC2017-67430
View Paper titled, Validating a Tool for Predicting Problem-Specific Optimized Team Characteristics
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Topics: Teams, Design, Internet, Response surface methodology, Temperature
Journal Articles

Mining Process Heuristics From Designer Action Data via Hidden Markov Models

Christopher McComb, Jonathan Cagan, Kenneth Kotovsky
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. November 2017, 139(11): 111412.
Paper No: MD-17-1161
https://doi.org/10.1115/1.4037308
Published Online: October 2, 2017
View Article titled, Mining Process Heuristics From Designer Action Data via Hidden Markov Models
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Topics: Cooling systems, Design, Topology, Trusses (Building), Emissions, Mining