Journal Articles

[J11] Hu, M., Zhang, G., Chong, L., Cagan, J., & Goucher-Lambert, K. (2024). How Being Outvoted by AI Teammates Impacts Human-AI Collaboration. International Journal of Human–Computer Interaction, 0(0), 1–18.

[J10] Hu, M., and Shealy, T. (2023) “Public preference for sustainable infrastructure: How does Envision help shape public preference.” Journal of Environmental Psychology,  102005. 

[J9] Hu, M., McComb C., and Goucher-Lambert K. (2023) “Uncovering Hidden Patterns of Design Ideation Using Hidden Markov Modeling and Neuroimaging.” Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 37, e8.

[J8] Hu, M., and Shealy, T. (2022). “Priming Engineers to think about Sustainability: Cognitive and Neuro-cognitive Evidence to Support the Adoption of Green Stormwater Design.”Frontiers in Neuroscience, 16. 

[J7] Hu, M., T. Shealy, J. Milovanovic, and J. Gero. (2022). “Neurocognitive feedback: a prospective approach to sustain idea generation during design brainstorming.” International Journal of Design Creativity and Innovation. Taylor & Francis. (Distinguished Paper Award 2022)

[J6] Hu, M., Shealy, T., & Milovanovic, J. (2021). “Cognitive differences among first-year and senior engineering students when generating design solutions with and without additional dimensions of sustainability.” Design Science, 7.

[J5] Milovanovic J., Hu, M., Shealy, T., and Gero, J. (2021). “Characterization of concept generation for engineering design through temporal brain network analysis.” Design Studies, 76: 101044. (nominated for the Design Studies Best Paper Award 2021)

[J4] Hu, M., and Shealy, T. (2020). “Overcoming status quo bias for resilient stormwater infrastructure: Empirical evidence in neurocognition and decision-making.” Journal of Management in Engineering, 36(4).

[J3] Shealy, T., Gero, J., Hu, M., and Milovanovic, J. (2020). “Concept generation techniques change patterns of brain activation during engineering design.” Design Science, 6.

[J2] Hu, M., Shealy, T., Grohs, J., and Panneton, R. (2019). “Empirical evidence that concept mapping reduces neurocognitive effort during concept generation for sustainability.” Journal of Cleaner Production, 238, 117815.

[J1] Hu, M., and Shealy, T. (2019). “Application of functional Near-Infrared Spectroscopy to measure engineering decision-making and design cognition: Literature review and synthesis of methods.” Journal of Computing in Civil Engineering, 33(6), 04019034.

Peer-reviewed Conference Publications

[C11] Hu, M., and Shealy, T., (2024), Preference Dynamics for Green Infrastructure: Exploring Preference Construction using a Bayesian Approach. ASCE I3CE. Carnegie Mellon University, Pittsburgh.

[C10] Hu, M., T. Shealy, G. John, J. Milovanovic, and P. Ignacio. (2022). “Brain and behavior in engineering design: An exploratory study on using concept mapping.” DCC 2022. University of Strathclyde, Glasgow, Scotland UK.

[C9] Hu, M., and Shealy, T. (2022). “Priming preference construction for sustainable infrastructure: The use of the Envision rating system to shape public preferences.” American Society of Civil Engineers Construction Research Congress, Conference Proceeding. 

[C8] Manandhar, U., Hu, M.,  Milovanovic, J., Shealy, T.,, and Gero, J., (2022). “Concept Maps Decrease Students’ Neurocognitive Demand When Thinking about Engineering Problems.” American Society of Civil Engineers Construction Research Congress, Conference Proceeding.

[C7] Hu, M., and Shealy, T. (2020). “Overcoming status quo bias through green infrastructure resolutions: Neuro-cognitive evidence of changes in risk perceptions.” American Society of Civil Engineers Construction Research Congress, Conference Proceeding.

[C6] Milovanovic J., Hu, M., Shealy, T., and Gero, J. (2020) “Evolution of brain network connectivity in the prefrontal cortex during concept generation using brainstorming for a design task.” ASME 2020 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Conference Proceeding.

[C5] Hu, M., and Shealy, T. (2019). “Neuro-cognitive differences in decision-making about green and grey infrastructure.” Engineering Project Organization Conference, Conference Proceeding.

[C4] Hu, M., Shealy, T., Hallowell, M., Hardison, D. (2018). "Advancing construction hazard recognition through neuroscience: Measuring cognitive response to hazards using functional Near-Infrared Spectroscopy." American Society of Civil Engineers Construction Research Congress, Conference Proceeding.


[C3] Hu, M., and Shealy, T. (2018). " Systems versus linear thinking: Measuring cognitive networks for engineering sustainability." American Society of Civil Engineers Construction Research Congress, Conference Proceeding.

[C2] Hu, M., Shealy, T., Gero, J. S. (2018). "Cognitive differences among engineering students when using unstructured, partially structured and structured concept generation techniques."  ASEE Annual Conference and Exposition, Conference Proceedings.

[C1] Hu, M., and Shealy, T. (2018). " Methods for measuring systems thinking: Differences between student self-assessment, concept map scores, and cognition during tasks about sustainability."  ASEE Annual Conference and Exposition, Conference Proceedings.