Northeastern University
Misha Pavel's research is concentrated in the areas of sensor fusion, modeling of pattern recognition in sensory-motor systems, human cognition, and human-computer communication systems. His current projects include 1) real-time monitoring of technology users' cognitive load and the implications for adapting user interfaces and required tasks, 2) automated home temperature and environment control based on multi-sensor data, and 3) computational models of behavioral change based on a dual-process theory to enable a just-in-time assessment to optimize just-in-time-adaptive interventions.
His overall research is focused on technology for successful aging. His research in the AI Caring Project on Scalable Technology to Support Older Adults with MCI and their Caregivers uses electrodermal activity and heart rate variability data from wearables to infer stress levels from both the person with MCI and their caregiver. The stress dyad models provide the capabi lity for just-in-time caregiver interventions to prevent exacerbations of MCI related behaviors due to frustration and discomfort.