SMARTLAB is opening their doors to demonstrate some of their past and present research projects! Join us to meet the local members of the lab and learn about the lab's research efforts and capabilities.
This tour is part of the new monthly Lab Tour series is meant to encourage sharing and collaboration within the Institute for Simulation & Training and School of Modeling, Simulation, and Training.
The SMART Lab focuses on understanding interactions between humans and intelligent learning/training systems by using advanced statistical methods to measure these processes and their impact on learning, training, performance, and transfer. We conduct basic and applied psychological research in several contexts, including laboratory and real-world environments (e.g., classrooms, medical simulators) using multimodal data, including eye movements, physiological sensors, verbalizations and discourse, human-machine interactions, log files, facial expressions of emotions, screen recordings, non-verbal behaviors, etc. These complex data are used to (1) develop theoretical, computational, and mathematical models of human-machine interaction; (2) examine the nature of temporally unfolding self- and other-regulatory processes (e.g., human-human and human-artificial agents); and (3) design adaptive intelligent learning and training systems capable of detecting, tracking, modeling, and fostering human and machine learning, intelligence, and performance across tasks, domains, and contexts to augment the knowledge, skills, and demands of the 21st-century workforce (e.g., empathy training in healthcare).
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