MAVRC 03 Meeting - Memorial Day 2025
Into Industrial-Organizational (I-O) Psychology and Military/Veterans research? Join the George Mason University Applied I-O Psychology program's Military and Veteran's Research Community of Practice (MAVRC).
We welcome active duty military personnel, veterans, spouses, researchers working with these populations, or people with no military connections who simply want to learn and network with these groups.
Our guest speaker is Dr. Nina Rothstein at U.S. Army.
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About Dr. Nina Rothstein
With over eight years of research experience in applied cognitive and brain sciences, Dr. Nina Rothstein is currently developing methodologies for the U.S. Army to predict Soldier interaction with future technologies. Her mission focuses on creating individual difference measures to characterize technologically savvy Warfighters in order to increase individual and team efficacy. This involves determining the individual differences that predict a Warfighter’s ability to appropriately adapt to new technologies and/or innovate existing technologies. Her research perspective is grounded in understanding human-technology interactions from a human-centered perspective, defining future-of-work-specific technologies in measurable ways, and delineating how emotional states versus personality traits impact measures of trust in technology.
Her skills include determining research objectives and approaches in undefined spaces, questionnaire construction and validation, leading focus groups, qualitative analysis, quantitative analysis, applying psychological principles to understand present and future user experiences, and the use of physiological devices.
In her most recent role at the U.S. Army, she has been pivotal in collecting and assessing data to anticipate individual differences that best characterize Warfighters’ trust in AI systems. This requires a nuanced understanding of technology from both design and user perspectives, a skill she honed during her tenure at Google, where she supported rapid UX research studies and communicated findings to stakeholders, empowering multidisciplinary teams to make data-driven decisions.