Timing of Coping Instruction Presentation for Real-Time Acute Stress Management: Long-Term Implications for Improved Surgical Performance. - Lauren Kennedy; Sarah Henrickson Parker (ICHI, 2016)

Priors, informative cues and ambiguity aversion. - Lauren Kennedy; Amy Perfors; Daniel J. Navarro (CogSci, 2017)

Timing of Coping Instruction Presentation for Real-time Acute Stress Management: Potential Implications for Improved Surgical Performance. - Lauren Kennedy; Sarah Henrickson Parker (J. Heal. Informatics Res., 2018)

Biofeedback as a stress management tool: a systematic review. - Lauren Kennedy; Sarah Henrickson Parker (Cogn. Technol. Work., 2019)

Digital Cognitive Aids to Support Adaptation of Surgical Processes to COVID-19 Protective Policies. - Heather M. Conboy; Lauren R. Kennedy-Metz; George S. Avrunin; Lori A. Clarke; Leon J. Osterweil; Roger D. Dias; Marco A. Zenati (CogSIMA, 2020)

Autonomic Activity and Surgical Flow Disruptions in Healthcare Providers during Cardiac Surgery. - Lauren R. Kennedy-Metz; Andrea Bizzego; Roger D. Dias; Cesare Furlanello; Gianluca Esposito; Marco A. Zenati (CogSIMA, 2020)

Feasibility of Healthcare Providers' Autonomic Activation Recognition in Real-Life Cardiac Surgery Using Noninvasive Sensors. - Lauren R. Kennedy-Metz; Andrea Bizzego; Roger D. Dias; Cesare Furlanello; Gianluca Esposito; Marco A. Zenati (HCI (48), 2020)

Sensors for Continuous Monitoring of Surgeon's Cognitive Workload in the Cardiac Operating Room. - Lauren R. Kennedy-Metz; Roger D. Dias; Srey Rithy; Geoffrey Rance; Cesare Furlanello; Marco A. Zenati (Sensors, 2020)

Towards an AI Coach to Infer Team Mental Model Alignment in Healthcare. - Sangwon Seo; Lauren R. Kennedy-Metz; Marco A. Zenati; Julie A. Shah; Roger D. Dias; Vaibhav V. Unhelkar (CogSIMA, 2021)

The Cognitive Relevance of a Formal Pre-incision Time-out in Surgery. - Lauren R. Kennedy-Metz; Roger D. Dias; Marco A. Zenati (ECCE, 2021)

Analysis of Dynamic Changes in Cognitive Workload During Cardiac Surgery Perfusionists′ Interactions With the Cardiopulmonary Bypass Pump. - Lauren R. Kennedy-Metz; Roger D. Dias; Srey Rithy; Geoffrey Rance; Heather M. Conboy; Miguel E. Haime; Jacquelyn A. Quin; Steven J. Yule; Marco A. Zenati (Hum. Factors, 2021)

Assessing Team Situational Awareness in the Operating Room via Computer Vision. - Roger D. Dias; Lauren R. Kennedy-Metz; Steven J. Yule; Matthew C. Gombolay; Marco A. Zenati (CogSIMA, 2022)

Association Between Operating Room Noise and Team Cognitive Workload in Cardiac Surgery. - Lauren R. Kennedy-Metz; Maria Arshanskiy; Sandra Keller; David Arney; Roger D. Dias; Marco A. Zenati (CogSIMA, 2022)

A Coding Framework for Usability Evaluation of Digital Health Technologies. - Mahdi Ebnali; Lauren R. Kennedy-Metz; Heather M. Conboy; Lori A. Clarke; Leon J. Osterweil; George S. Avrunin; Christian Miccile; Maria Arshanskiy; Annette Phillips; Marco A. Zenati; Roger D. Dias (HCI (1), 2022)

Using machine learning to predict perfusionists' critical decision-making during cardiac surgery. - Roger D. Dias; Marco A. Zenati; Geoffrey Rance; Srey Rithy; David Arney; Letian Chen; Rohan R. Paleja; Lauren R. Kennedy-Metz; Matthew C. Gombolay (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022)

Using Digital Biomarkers for Objective Assessment of Perfusionists' Workload and Acute Stress During Cardiac Surgery. - Roger D. Dias; Lauren R. Kennedy-Metz; Srey Rithy; Geoffrey Rance; Mahdi Ebnali; David Arney; Matthew C. Gombolay; Marco A. Zenati (IWBBIO (1), 2023)

An Open-Source, Interoperable Architecture for Generating Real-Time Surgical Team Cognitive Alerts from Heart-Rate Variability Monitoring. - David Arney; Yi Zhang 051; Lauren R. Kennedy-Metz; Roger D. Dias; Julian M. Goldman; Marco A. Zenati (Sensors, 2023)

Crew Autonomy During Simulated Medical Event Management on Long Duration Space Exploration Missions. - Steven J. Yule; Jamie M. Robertson; Benjamin Mormann; Douglas S. Smink; Stuart R. Lipsitz; Egide Abahuje; Lauren R. Kennedy-Metz; Sandra Park; Christian Miccile; Charles N. Pozner; Thomas E. Doyle; David M. Musson; et al. (Hum. Factors, 2023)

Bayesian cross-validation by parallel Markov chain Monte Carlo. - Alex Cooper; Aki Vehtari; Catherine Forbes; Daniel Simpson; Lauren Kennedy (Stat. Comput., 2024)