Publications

Journal Articles

  • Zhu, Q., Chong, L., Yang, M., and Luo, J., 2025, “Reading Users’ Minds with Large Language Models: Mental Inference for Artificial Empathy in Design,” ASME Journal of Mechanical Design, 147(6), pp. 061401. https://doi.org/10.1115/1.4067527.
  • Chong, L., Lo, I., Rayan, J., Dow, S., Ahmed, F., and Lykourentzou, I., 2025, “Prompting for Products: Investigating Design Space Exploration Strategies for Text-to-Image Generative Models,” Design Science, 11, e2. https://doi.org/10.1017/dsj.2024.51.
  • Saadi, J., Yang, M., and Chong, L., 2024, “The Effect of Targeting Both Quantitative and Qualitative Objectives in Generative Design Tools on the Design Outcomes,” Research in Engineering Design, 35, pp. 409-425. https://doi.org/10.1007/s00163-024-00440-y.
  • Chong, L., Kotovsky, K., and Cagan, J., 2024, “Human Designers’ Dynamic Confidence and Decision-Making When Working with More than One Artificial Intelligence,” ASME Journal of Mechanical Design, 146(8), pp. https://doi.org/10.1115/1.4064565.
  • Hu, M., Zhang, G., Chong, L., Cagan, J., 2024, and Goucher-Lambert, K., 2024, “How Being Outvoted by AI Teammates Impacts Human-AI Collaboration,” International Journal of Human-Computer Interaction, pp. 1–18. https://doi.org/10.1080/10447318.2024.2345980.
  • Chong, L., Raina, A., Goucher-Lambert, K., Kotovsky, K., and Cagan, J., 2023, “The Evolution and Impact of Human Confidence in Artificial Intelligence and in Themselves on AI-Assisted Decision-Making in Design,” ASME Journal of Mechanical Design, 145(3), pp. 031401. https://doi.org/10.1115/1.4055123.
  • Zhang, G., Chong, L., Kotovsky, K., and Cagan, J., 2023, “Trust in an AI Versus a Human Teammate: The Effects of Teammate Identity and Performance on Human-AI Cooperation,” Computers in Human Behavior, 139, pp. 107536. https://doi.org/10.1016/j.chb.2022.107536.
  • Chong, L., Zhang, G., Goucher-Lambert, K., Kotovsky, K., and Cagan, J., 2023, “Data on Human Decision, Feedback, and Confidence During an Artificial Intelligence-Assisted Decision-Making Task,” Data in Brief, 46, pp. 108884. https://doi.org/10.1016/j.dib.2023.108884.
  • Chong, L., Zhang, G., Goucher-Lambert, K., Kotovsky, K., and Cagan, J., 2022, “Human Confidence in Artificial Intelligence and in Themselves: The Evolution and Impact of Confidence on Adoption of AI Advice,” Computers in Human Behavior, 127, pp. 107018. https://doi.org/10.1016/j.chb.2021.107018.

Peer-Reviewed Conference Papers

  • Chong, L., Zhu, Q., Schelhaas, B., Ng, G., and Yang, M., 2025, “Facilitating Identification of Ergonomic User Needs Through AI-Assisted Observation,” ASME International Design Engineering Technical Conferences – Design Theory and Methodology, Anaheim, CA, August 17-20, 2025.
  • Chong, L., Rayan, J., Lykourentzou, I., Dow, S., and Ahmed, F., 2024, “CAD-Prompted Generative Models: A Pathway to Feasible and Novel Engineering Designs,” ASME International Design Engineering Technical Conferences – Design Automation Conference, Washington, DC, August 25-28, 2024.
  • Zhu, Q., Chong, L., Yang, M., and Luo, J., 2024, “Reading Users’ Minds from What They Say: An Investigation into LLM-based Empathic Mental Inference,” ASME International Design Engineering Technical Conferences – Design Theory and Methodology, Washington, DC, August 25-28, 2024. Best Paper Award
  • Saadi, J., Yang, M., and Chong, L., “Form Attributes to Measure and Understand Aesthetic Preferences,” ASME International Design Engineering Technical Conferences – Design Theory and Methodology, Boston, MA, August 20-23, 2023, 6, V006T06A018. https://doi.org/10.1115/DETC2023-116601.
  • Chong, L. and Yang, M., 2023, “AI vs. Human: The Public’s Perceptions of the Design Abilities of Artificial Intelligence,” Proceedings of the Design Society: International Conference on Engineering Design, Bordeaux, France, July 24-28, 2023, 3, pp. 495-504. https://doi.org/10.1017/pds.2023.50.
  • Chong, L., Raina, A., Goucher-Lambert, K., Kotovsky, K., and Cagan, J., 2022, “Collaborative Design Decision Making with Artificial Intelligence: Exploring the Evolution and Impact of Human Confidence in AI and in Themselves,” ASME International Design Engineering Technical Conferences – Design Theory and Methodology, St. Louis, MO, August 14-17, 2022, 6, V006T06A021. https://doi.org/10.1115/DETC2022.
  • Chong, L., Kotovsky, K., and Cagan, J., 2022, “Are Confidence Designers Good Teammates to Artificial Intelligence?: A Study of Self-Confidence, Competence, and Collaborative Performance,” Proceedings of the Design Society: DESIGN Conference, Virtual, May 23-26, 2022, pp. 1531-1540. https://doi.org/10.1017/pds.2022.155.
  • Chong, L., Goucher-Lambert, K., Kotovsky, K., and Cagan, J., 2022, “Empirically Understanding the Impact of Item Constraints on Designer Ideation,” 2020 Design Computing and Cognition Conference, Virtual, December 14-16, 2020, pp. 3-19. https://doi.org/10.1007/978-3-030-90625-2_1.
  • Jin, Y. G., Chong, L., and Cho, H. K., 2012, “Designing a Robotics-Enhanced Learning Content for STEM Education,” 2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence, Daejeon, Korea, November 26-28, 2012, pp. 433-436. https://doi.org/10.1109/URAI.2012.6463032.