PUBLICATIONS
PUBLICATIONS
Artificial Intelligence
Conceptual Blending in Humans and Language Models
Spencer K. Lynn Frontiers in Psychology, Cognitive Science, Volume 17, 28 July 2026, https://doi.org/10.3389/fpsyg.2026.1849083 In theories of embodied cognition, concept integration, or blending, integrates features from different source concepts to construct a new, context-sensitive meaning and is considered a core
Four Aspirations for Evaluating AI-Infused Technologies: A Narrative Review
Dane A. Morey1, Mohammadreza Jalaeian1, Morgan E. Reynolds1, Nicolette M. McGeorge2, Hunter K. Oldham3, and Michael F. Rayo1 Journal of Cognitive Engineering and Decision Making, Published: April 16 2026, Vol. 0(0) 1-20 Abstract As artificial intelligence (AI), machine learning (ML),
Bio-behavioral Team Dynamics Measurement System: Multimodal Sensing, Dynamical Systems Modeling, and Machine Learning Pipelines to Predict and Characterize Team Performance
Garima Arya Yadav1, Bethany K Bracken2, Nancy J Cooke3, Phillip Desrochers2, Jamie C Gorman3, David A P Grimm3, Lixiao Huang3, Molly Kilcullen4, Mengyao Li5, Emanuel Rojas5, Michael Rosen4, Matthew J Scalia3, Aaron Winder2, Xiaoyun Yin3, Elmira Zahmat Doost3, Shiwen Zhou3
Bridging The Gap Between MBSE And Reliability Analysis
Sanja Cvijic, Scott Harrison, Stephen Marotta Proceedings of The 72nd Annual Reliability & Maintainability Symposium (RAMS®), Miramar Beach, FL (19-22 January 2026) Traditionally, model-based systems engineering (MBSE) and reliability analysis are conducted independently within separate workflows. As system designs are
Challenges and Solutions in Using Virtual Testbeds to Study Hacker Cognitive Constraints
Sean Guarino1, David Kelle1, Curt Wu1, K. Raghav Bhat2, Robert Gutzwiller2, Max Slocum3, Michael Sieffert3, Michelle Neisser4 Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC), Orlando, Florida (3 December 2025) (I/ITSEC 2025 Digital Schedule) Gaining a better understanding of the cognitive
Transforming Technical Documentation into On-Demand Adaptive Training Content
Ernest V. Cross II, Jimena Guallar-Blasco, Matthew Miller, Leonard Eusebi Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC), Orlando, Florida (3 December 2025) (I/ITSEC 2025 Digital Schedule) In many contexts, trainees need individualized, on-demand content to refresh skills. To provide this
Conceptual Blending in Humans and Language Models
Spencer K. Lynn Frontiers in Psychology, Cognitive Science, Volume 17, 28 July 2026, https://doi.org/10.3389/fpsyg.2026.1849083 In theories of embodied cognition, concept integration, or blending, integrates features from different source concepts to construct a new, context-sensitive meaning
Four Aspirations for Evaluating AI-Infused Technologies: A Narrative Review
Dane A. Morey1, Mohammadreza Jalaeian1, Morgan E. Reynolds1, Nicolette M. McGeorge2, Hunter K. Oldham3, and Michael F. Rayo1 Journal of Cognitive Engineering and Decision Making, Published: April 16 2026, Vol. 0(0) 1-20 Abstract As artificial
Clinician Perspectives on the Development of a Survivorship Care Plan Smartphone Application: A Qualitative Thematic Analysis
Maria Rangwala 1, Elisha Baafi Oduro 1, Nicolette M. McGeorge 2, Dana Deighton 3, Ian Kleckner 1, Cynthia L. Renn 1, Amber Kleckner 1 Oncology Nursing Forum, Published: March 2026, Vol. 53, No. 2 Abstract Purpose: To describe clinicians’ perspectives on POSTHOC (POSt-Treatment Healthcare Outcomes for Cancer survivors),
Bio-behavioral Team Dynamics Measurement System: Multimodal Sensing, Dynamical Systems Modeling, and Machine Learning Pipelines to Predict and Characterize Team Performance
Garima Arya Yadav1, Bethany K Bracken2, Nancy J Cooke3, Phillip Desrochers2, Jamie C Gorman3, David A P Grimm3, Lixiao Huang3, Molly Kilcullen4, Mengyao Li5, Emanuel Rojas5, Michael Rosen4, Matthew J Scalia3, Aaron Winder2, Xiaoyun Yin3,
Leveraging technology to address POST‑Treatment Health Outcomes of Cancer Survivors (POSTHOC): A phase I/II randomized controlled trial of a survivorship care plan mobile application
Shalet James1, Carin L. Clingan1, Ikmat A. Adesanya1, Shijun Zhu2, Martha E. Francis3,4, Paula Y. Rosenblatt4,5, Jason K. Molitoris4,5, Dana C. Deighton4, Aaron T. Winder6, Phillip C. Desrochers6,·Nicolette M. McGeorge6, Ian R. Kleckner1,4, Amber S.
Bridging The Gap Between MBSE And Reliability Analysis
Sanja Cvijic, Scott Harrison, Stephen Marotta Proceedings of The 72nd Annual Reliability & Maintainability Symposium (RAMS®), Miramar Beach, FL (19-22 January 2026) Traditionally, model-based systems engineering (MBSE) and reliability analysis are conducted independently within separate
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