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Journal Articles

Do Large Language Models Produce Diverse Design Concepts? A Comparative Study with Human-Crowdsourced Solutions

Kevin Ma, Daniele Grandi, Christopher McComb, Kosa Goucher-Lambert
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Technical Briefs
J. Comput. Inf. Sci. Eng. February 2025, 25(2): 024501.
Paper No: JCISE-24-1137
https://doi.org/10.1115/1.4067332
Published Online: December 23, 2024
View Article titled, Do Large Language Models Produce Diverse Design Concepts? A Comparative Study with Human-Crowdsourced Solutions
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Topics: Crowdsourcing, Design, Large language models
Proceedings Papers

Designing Remote Monitoring for Smart Manufacturing Facilities: Hazard Identification and Classification

Caseysimone Ballestas, Mansidak Singh, Duy Vu, Kenton Blane Fillingim, Kosa Goucher-Lambert
Proc. ASME. IDETC-CIE2024, Volume 3B: 50th Design Automation Conference (DAC), V03BT03A006, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143881
https://doi.org/10.1115/DETC2024-143881
View Paper titled, Designing Remote Monitoring for Smart Manufacturing Facilities: Hazard Identification and Classification
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Topics: Design, Hazards, Manufacturing, Production facilities
Proceedings Papers

Human-AI Collaboration Among Engineering and Design Professionals: Three Strategies of Generative AI Use

Kevin Ma, George Moore, Vikram Shyam, James Villarrubia, Kosa Goucher-Lambert, Eric Reynolds Brubaker
Proc. ASME. IDETC-CIE2024, Volume 6: 36th International Conference on Design Theory and Methodology (DTM), V006T06A025, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143560
https://doi.org/10.1115/DETC2024-143560
View Paper titled, Human-AI Collaboration Among Engineering and Design Professionals: Three Strategies of Generative AI Use
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Topics: Collaboration, Design, Generative artificial intelligence, Teams, Engineering design processes, Engineers, NASA, Workflow
Proceedings Papers

Evaluating Design Rationale

Yakira Mirabito, Xiaowen Liu, Kosa Goucher-Lambert
Proc. ASME. IDETC-CIE2024, Volume 6: 36th International Conference on Design Theory and Methodology (DTM), V006T06A008, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-142788
https://doi.org/10.1115/DETC2024-142788
View Paper titled, Evaluating Design Rationale
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Topics: Design, Dimensions, Generative design, Machinery, Natural language processing
Proceedings Papers

Understanding Complex Sketch Recognition Strategies for Intelligent Sketch-Based Design Tools

Gaëlle Baudoux, Kosa Goucher-Lambert
Proc. ASME. IDETC-CIE2024, Volume 6: 36th International Conference on Design Theory and Methodology (DTM), V006T06A017, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143806
https://doi.org/10.1115/DETC2024-143806
View Paper titled, Understanding Complex Sketch Recognition Strategies for Intelligent Sketch-Based Design Tools
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Topics: Design
Journal Articles

Examining the Design Actions and Reasoning Factors That Impact Design Performance

Yakira Mirabito, Kosa Goucher-Lambert
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. July 2024, 146(7): 071401.
Paper No: MD-23-1532
https://doi.org/10.1115/1.4064414
Published Online: January 29, 2024
View Article titled, Examining the Design Actions and Reasoning Factors That Impact Design Performance
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Topics: Design
Includes: Supplementary data
Proceedings Papers

Conceptual Design Generation Using Large Language Models

Kevin Ma, Daniele Grandi, Christopher McComb, Kosa Goucher-Lambert
Proc. ASME. IDETC-CIE2023, Volume 6: 35th International Conference on Design Theory and Methodology (DTM), V006T06A021, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116838
https://doi.org/10.1115/DETC2023-116838
View Paper titled, Conceptual Design Generation Using Large Language Models
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Topics: Conceptual design, Crowdsourcing, Design, Natural language processing, Machine learning
Proceedings Papers

Similarities and Differences in Human Vs. Computational Representations of Non-Semantic Inspirational Design Stimuli

Elisa Kwon, Kosa Goucher-Lambert
Proc. ASME. IDETC-CIE2023, Volume 6: 35th International Conference on Design Theory and Methodology (DTM), V006T06A016, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-115108
https://doi.org/10.1115/DETC2023-115108
View Paper titled, Similarities and Differences in Human Vs. Computational Representations of Non-Semantic Inspirational Design Stimuli
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Topics: Design, Semantics
Proceedings Papers

Journey Mapping the Virtual Design Thinking Experience: Engaging Students Across Disciplines in Human-Centered Design

George Moore, Vivek Rao, Kosa Goucher-Lambert, Alice Agogino
Proc. ASME. IDETC-CIE2023, Volume 6: 35th International Conference on Design Theory and Methodology (DTM), V006T06A024, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-108817
https://doi.org/10.1115/DETC2023-108817
View Paper titled, Journey Mapping the Virtual Design Thinking Experience: Engaging Students Across Disciplines in Human-Centered Design
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Topics: Design, Engineering disciplines, Students
Proceedings Papers

How Does Agency Impact Human-AI Collaborative Design Space Exploration? A Case Study on Ship Design With Deep Generative Models

Shahroz Khan, Panagiotis Kaklis, Kosa Goucher-Lambert
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A055, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-112570
https://doi.org/10.1115/DETC2023-112570
View Paper titled, How Does Agency Impact Human-AI Collaborative Design Space Exploration? A Case Study on Ship Design With Deep Generative Models
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Topics: Design, Naval architecture, Plasma spectroscopy, Ships, Generative design, Hull, Optimization, Preferences, Space, Tradeoffs
Proceedings Papers

Adaptive Optimization of Subjective Design Attributes: Characterizing Individual and Aggregate Perceptions

Ananya Nandy, Kosa Goucher-Lambert
Proc. ASME. IDETC-CIE2023, Volume 6: 35th International Conference on Design Theory and Methodology (DTM), V006T06A001, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-111714
https://doi.org/10.1115/DETC2023-111714
View Paper titled, Adaptive Optimization of Subjective Design Attributes: Characterizing Individual and Aggregate Perceptions
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Topics: Design, Optimization, Feedback
Journal Articles

Comparing and Evaluating Human and Computationally Derived Representations of Non-Semantic Design Information

Elisa Kwon, Kosa Goucher-Lambert
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. March 2024, 146(3): 031401.
Paper No: MD-23-1276
https://doi.org/10.1115/1.4063567
Published Online: November 7, 2023
View Article titled, Comparing and Evaluating Human and Computationally Derived Representations of Non-Semantic Design Information
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Topics: Design, Semantics, Space, Three-dimensional models, Computational methods
Journal Articles

Embedding Experiential Design Knowledge in Interactive Knowledge Graphs

Ye Wang, Nicole Goridkov, Vivek Rao, Dixun Cui, Daniele Grandi, Kosa Goucher-Lambert
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. April 2023, 145(4): 041412.
Paper No: MD-22-1323
https://doi.org/10.1115/1.4056800
Published Online: February 20, 2023
View Article titled, Embedding Experiential Design Knowledge in Interactive Knowledge Graphs
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Topics: Design
Proceedings Papers

Investigating How Engineers and Designers Communicate Design Rationale

Yakira Mirabito, Kosa Goucher-Lambert
Proc. ASME. IDETC-CIE2022, Volume 6: 34th International Conference on Design Theory and Methodology (DTM), V006T06A033, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-90833
https://doi.org/10.1115/DETC2022-90833
View Paper titled, Investigating How Engineers and Designers Communicate Design Rationale
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Topics: Design, Engineers, Engineering design, Engineering education, Teams
Proceedings Papers

Capturing Designers’ Experiential Knowledge in Scalable Representation Systems: A Case Study of Knowledge Graphs for Product Teardowns

Nicole Goridkov, Vivek Rao, Dixun Cui, Daniele Grandi, Ye Wang, Kosa Goucher-Lambert
Proc. ASME. IDETC-CIE2022, Volume 6: 34th International Conference on Design Theory and Methodology (DTM), V006T06A032, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-90697
https://doi.org/10.1115/DETC2022-90697
View Paper titled, Capturing Designers’ Experiential Knowledge in Scalable Representation Systems: A Case Study of Knowledge Graphs for Product Teardowns
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Topics: Design, Dimensions, Engineering design, Engineering design processes, Engineering disciplines, Semantics
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
Proceedings Papers

Investigating the Roles of Expertise and Modality in Designers’ Search for Inspirational Stimuli

Elisa Kwon, Vivek Rao, Kosa Goucher-Lambert
Proc. ASME. IDETC-CIE2022, Volume 6: 34th International Conference on Design Theory and Methodology (DTM), V006T06A015, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-90638
https://doi.org/10.1115/DETC2022-90638
View Paper titled, Investigating the Roles of Expertise and Modality in Designers’ Search for Inspirational Stimuli
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Topics: Design, Performance, Students, Three-dimensional models
Proceedings Papers

Designing Privacy Risk Frameworks for Evolving Cyber-Physical Social Systems: Knowledge Gaps Illuminated by the Case of Autonomous Vehicles and Bystander Privacy

Vivek Rao, Ankita Joshi, Soo Min Kang, Susan Lin, (Erin) Junghyun Song, Drew Miller, Kosa Goucher-Lambert, Alice Agogino
Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A012, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-90958
https://doi.org/10.1115/DETC2022-90958
View Paper titled, Designing Privacy Risk Frameworks for Evolving Cyber-Physical Social Systems: Knowledge Gaps Illuminated by the Case of Autonomous Vehicles and Bystander Privacy
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Topics: Autonomous vehicles, Design, Risk, Security
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

Do Human and Computational Evaluations of Similarity Align? An Empirical Study of Product Function

Ananya Nandy, Kosa Goucher-Lambert
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. April 2022, 144(4): 041404.
Paper No: MD-21-1367
https://doi.org/10.1115/1.4053858
Published Online: March 1, 2022
View Article titled, Do Human and Computational Evaluations of Similarity Align? An Empirical Study of Product Function
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Topics: Crowdsourcing, Design, Dimensions