2024

Examining the Design Actions and Reasoning Factors That Impact Design Performance

Mirabito and Goucher-Lambert. ASME J. Mech. Des. 2024

2023

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

Kwon and Goucher-Lambert. ASME J. Mech. Des. 2023

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

Nandy and Goucher-Lambert. ASME IDETC 2023

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

Moore et al. ASME IDETC 2023

Conceptual Design Generation Using Large Language Models

Ma et al. ASME IDETC 2023

Understanding inspiration: Insights into how designers discover inspirational stimuli using an AI-enabled platform

Kwon et al. Design Studies 2023

Similarities and Differences in Human vs. Computational Representations of Non-semantic Inspirational Design Stimuli

Kwon and Goucher-Lambert. ASME IDETC 2023

How does agency impact human-AI collaborative design space exploration? A case study on ship design with deep generative models

Khan et al. ASME IDETC 2023

VR or Not? Investigating Interface Type and User Strategies for Interactive Design Space Exploration

Nandy et al. Proceedings of the ICED Conference 2023

Examining the Boundary between Near and Far Design Stimuli

Kwon and Goucher-Lambert. Proceedings of the ICED Conference 2023

Challenges in Extracting Insights from Life Cycle Assessment Documents During Early Stage Design

Goridkov et al. Proceedings of the ICED Conference 2023

ShipHullGAN: A generic parametric modeller for ship hull design using deep convolutional generative model

Khan et al. CMAME 2023

Uncovering hidden patterns of design ideation using hidden Markov modeling and neuroimaging

Hu, McComb, and Goucher-Lambert. AI EDAM 2023

Embedding Experiential Design Knowledge in Interactive Knowledge Graphs

Wang et al. ASME J. Mech. Des 2023

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

Chong et al. ASME J. Mech. Des 2023

2022

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

Rao et al. ASME IDETC 2022

Investigating How Engineers and Designers Communicate Design Rationale

Mirabito and Goucher-Lambert. ASME IDETC 2022

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

Goridkov et al. ASME IDETC 2022

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

Kwon et al. ASME IDETC 2022

Enabling multi-modal search for inspirational design stimuli using deep learning

Kwon et al. AI EDAM 2022

Inspirational Stimuli Attain Visual Allocation: Examining Design Ideation with Eye-tracking

Dybvik et al. Proceedings of the DCC Conference 2022

How does machine advice influence design choice? The effect of error on design decision making

Nandy and Goucher-Lambert. Proceedings of the DCC Conference 2022

Exploring designers’ encounters with unexpected inspirational stimuli

Kwon et al. Proceedings of the DCC Conference 2022

Like a Moodboard, but More Interactive - The Role of Expertise in Designers’ Mental Models and Speculations on an Intelligent Design Assistant

Rao et al. Proceedings of the DCC conference 2022

Design Strategies that Work: How Engineers Use Sequential Decision Making to Improve Design Performance in Concept Selection

Mirabito and Goucher-Lambert. Proceedings of the DCC Conference 2022

Inspirational Stimuli Improve Idea Fluency during Ideation: A Replication and Extension Study with Eye-Tracking

Dybvik et al. Proceedings of the Design Society 2022

Do human and computational evaluations of similarity align? An empirical study of product function

Nandy and Goucher-Lambert. ASME J. Mech. Des. 2022

Evaluating Quantitative Measures for Assessing Functional Similarity in Engineering Design

Nandy et al. ASME J. Mech. Des. 2022

Human confidence in artificial intelligence and in themselves: The evolution and impact of confidence on adoption of AI advice

Chong et al. Computers in Human Behavior 2022

Factors Impacting Highly Innovative Designs - Idea Fluency, Timing, and Order

Mirabito and Goucher-Lambert. ASME J. Mech. Des. 2022

2021

Understanding Professional Designers’ Knowledge Organization Behavior: A Case Study in Product Teardowns

Wang et al. ASME IDETC 2021

Connecting Design Actions, Reasoning, and Outcomes in Concept Selection

Mirabito and Goucher-Lambert. ASME IDETC 2021

Examining Goal Congruence on Engineering Design and Innovation Student Teams

Beckman et al. ASME IDETC 2021

Multi-modal Search for Inspirational Examples in Design

Kwon et al. ASME IDETC 2021

Aligning Human and Computational Evaluations of Functional Design Similarity

Nandy and Goucher-Lambert. ASME IDETC 2021

Framing and Tracing Human-Centered Design Teams' Method Selection: An Examination of Decision-Making Strategies

Rao et al. ASME J. Mech. Des. 2021

2020

Design for Cybersecurity (DfC) Cards: A Creativity-Based Approach to Support Designers’ Consideration of Cybersecurity

Rao et al. Proceedings of the DCC Conference 2020

The Role of Idea Fluency and Timing on Highly Innovative Design Concepts

Mirabito and Goucher-Lambert. ASME IDETC 2020

Method Selection in Human-Centered Design Teams: An Examination of Decision-Making Strategies

Rao et al. ASME IDETC 2020

A Comparison of Vector and Network-based Measures for Assessing Design Similarity

Nandy, Dong, and Goucher-Lambert. ASME IDETC 2020

Adaptive Inspirational Design Stimuli - Using Design Output to Computationally Search for Stimuli that Impact Concept Generation

Goucher-Lambert et al. ASME J. Mech. Des. 2020

2019

Wisdom of Micro-Crowds in Evaluating Solutions to Esoteric Engineering Problems

Gercer Ulu et al. ASME J. Mech. Des. 2019

A Neuroimaging Investigation of Design Ideation With and Without Inspirational Stimuli- Understanding the Meaning of Near and Far Stimuli

Goucher-Lambert et al. Design Studies 2019

Crowdsourcing Inspiration: Using Crowd Generated Inspirational Stimuli to Support Designer Ideation

Goucher-Lambert and Cagan. Design Studies 2019