L
Laura R. Marusich
Researcher at United States Army Research Laboratory
Publications - 42
Citations - 1544
Laura R. Marusich is an academic researcher from United States Army Research Laboratory. The author has contributed to research in topics: Mission Command & Computer science. The author has an hindex of 11, co-authored 37 publications receiving 932 citations. Previous affiliations of Laura R. Marusich include University of Texas at Arlington & University of Texas at Austin.
Papers
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Journal ArticleDOI
Repeated Measures Correlation
TL;DR: The R package (rmcorr) is introduced and its use for inferential statistics and visualization with two example datasets are used to illustrate research questions at different levels of analysis, intra-individual, and inter-individual.
Journal ArticleDOI
Effects of information availability on command-and-control decision making: performance, trust, and situation awareness
Laura R. Marusich,Jonathan Z. Bakdash,Emrah Onal,Michael Yu,James Schaffer,John O'Donovan,Tobias Höllerer,Norbou Buchler,Cleotilde Gonzalez +8 more
TL;DR: The results indicate that increasing the volume of information, even when it is accurate and task relevant, is not necessarily beneficial to decision-making performance and may even be detrimental to SA and trust among team members.
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Contraction of time in attention-deficit hyperactivity disorder.
TL;DR: The authors found that people with ADHD do in fact have a rhythm cut-off that is faster in tempo than those without ADHD, consistent with the idea that impaired dopamine dynamics have systemic consequences for cognitive function.
Posted Content
Does Explainable Artificial Intelligence Improve Human Decision-Making?
TL;DR: The results indicate that, at least in some situations, the why information provided in explainable AI may not enhance user decision-making, and further research may be needed to understand how to integrate explainableAI into real systems.
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Sociometrics and observational assessment of teaming and leadership in a cyber security defense competition
TL;DR: Results indicate that the leadership dimension and face-to-face interactions are important factors that determine the success of these teams and functional specialization within a team and well-guided leadership could be important predictors of timely detection and mitigation of ongoing cyber attacks.