World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
60
Citations
13184
World Ranking
696
National Ranking
306

Research.com Recognitions

  • 2000 - Fellow of the American Society of Mechanical Engineers

Overview

Jonathan Cagan is affiliated with Carnegie Mellon University in the United States. Their research spans multiple facets of engineering with a predominant focus on design and human interaction with technology. Their expertise is reflected in a substantial body of work in the field of Engineering, particularly within subfields such as Mechanical Engineering, Social Psychology, Industrial and Manufacturing Engineering, Management of Technology and Innovation, and Building and Construction.

The scientist's research topics cover a range of areas including:

  • Design Education and Practice
  • Human-Automation Interaction and Safety
  • Product Development and Customization
  • Manufacturing Process and Optimization
  • BIM and Construction Integration
  • Technology Assessment and Management
  • Ethics and Social Impacts of AI

Jonathan Cagan has published extensively in venues that include:

  • Journal of Mechanical Design
  • Journal of Computing and Information Science in Engineering
  • Proceedings of the Design Society
  • arXiv (Cornell University)
  • Data in Brief

Recent scholarly contributions encompass papers such as:

  • "Human confidence in artificial intelligence and in themselves: The evolution and impact of confidence on adoption of AI advice" (2021) published in Computers in Human Behavior
  • "A cautionary tale about the impact of AI on human design teams" (2021) published in Design Studies
  • "Trust in an AI versus a Human teammate: The effects of teammate identity and performance on Human-AI cooperation" (2022) published in Computers in Human Behavior
  • "Adaptive Inspirational Design Stimuli: Using Design Output to Computationally Search for Stimuli That Impact Concept Generation" (2020) published in Journal of Mechanical Design
  • "Decoding the agility of artificial intelligence-assisted human design teams" (2022) published in Design Studies

Frequent collaborators with whom Jonathan Cagan has co-authored numerous works include:

  • Christopher McComb
  • Kenneth Kotovsky
  • Guanglu Zhang
  • Joshua T. Gyory
  • Nicolás F. Soria Zurita

Jonathan Cagan was recognized as a Fellow of the American Society of Mechanical Engineers in 2000.

Best Publications

  • Creating Breakthrough Products: Innovation from Product Planning to Program Approval

    Jonathan Cagan;Craig M. Vogel

  • A Study of Design Fixation, Its Mitigation and Perception in Engineering Design Faculty

    J. S. Linsey;I. Tseng;K. Fu;J. Cagan

  • Speaking the Buick Language: Capturing, Understanding, and Exploring Brand Identity With Shape Grammars

    Jay P McCormack;Jonathan Cagan;Craig M Vogel

  • On the benefits and pitfalls of analogies for innovative design : Ideation performance based on analogical distance, commonness, and modality of examples

    Joel Chan;Katherine Fu;Christian D. Schunn;Jonathan Cagan

  • Formal Engineering Design Synthesis

    Erik K. Antonsson;Jonathan Cagan

  • THE MEANING OF "NEAR" AND "FAR": THE IMPACT OF STRUCTURING DESIGN DATABASES AND THE EFFECT OF DISTANCE OF ANALOGY ON DESIGN OUTPUT

    Katherine Fu;Joel Chan;Jonathan Cagan;Kenneth Kotovsky

  • A Blend of Different Tastes: The Language of Coffeemakers:

    Manish Agarwal;Jonathan Cagan

  • A survey of computational approaches to three-dimensional layout problems

    Jonathan Cagan;Kenji Shimada;Sun Yin

  • Computer-Based Design Synthesis Research: An Overview

    Amaresh Chakrabarti;Kristina Shea;Robert B. Stone;Jonathan Cagan

  • Capturing a rebel: modeling the Harley-Davidson brand through a motorcycle shape grammar

    Michael J. Pugliese;Jonathan Cagan

  • The role of timing and analogical similarity in the stimulation of idea generation in design

    Ian Tseng;Jarrod Moss;Jonathan Cagan;Kenneth Kotovsky

  • A-Design: An Agent-Based Approach to Conceptual Design in a Dynamic Environment

    Matthew I. Campbell;Jonathan Cagan;Kenneth Kotovsky

  • Fixation or inspiration? A meta-analytic review of the role of examples on design processes

    Ut Na Sio;Kenneth Kotovsky;Jonathan Cagan

  • A Framework for Computational Design Synthesis: Model and Applications

    Jonathan Cagan;Matthew I. Campbell;Susan Finger;Tetsuo Tomiyama

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

    Leah Chong;Guanglu Zhang;Kosa Goucher-Lambert;Kenneth Kotovsky

  • A Simulated Annealing-Based Approach to Three-Dimensional Component Packing

    S. Szykman;J. Cagan

  • Agent-Based Synthesis of Electromechanical Design Configurations

    Matthew I. Campbell;Jonathan Cagan;Kenneth Kotovsky

  • Empirical Studies of Designer Thinking: Past, Present, and Future

    Mahmoud Dinar;Jami J. Shah;Jonathan Cagan;Larry Leifer

  • Constrained Three-Dimensional Component Layout Using Simulated Annealing

    S. Szykman;J. Cagan

  • Quantifying Aesthetic Form Preference in a Utility Function

    Seth D. Orsborn;Jonathan Cagan;Peter Boatwright

  • Innovative dome design: Applying geodesic patterns with shape annealing

    Kristina Shea;Jonathan Cagan

  • A Simulated Annealing-Based Algorithm Using Hierarchical Models for General Three Dimensional Component Layout

    Jonathan Cagan;Drew Degentesh;Su Yin

Frequent Co-Authors

Christian D. Schunn
Christian D. Schunn University of Pittsburgh
Kristin L. Wood
Kristin L. Wood University of Colorado Denver
Kristina Shea
Kristina Shea ETH Zurich
Alice M. Agogino
Alice M. Agogino University of California, Berkeley
Julie S. Linsey
Julie S. Linsey Georgia Institute of Technology
Jeremy J. Michalek
Jeremy J. Michalek Carnegie Mellon University
Herbert A. Simon
Herbert A. Simon Carnegie Mellon University
Laurie R. Weingart
Laurie R. Weingart Carnegie Mellon University
Steven M. Smith
Steven M. Smith Texas A&M University
Arthur B. Markman
Arthur B. Markman The University of Texas at Austin

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