Congratulations to SMART Team member Samantha Dubrow on her presentation of our most recent paper Using IoT Sensors to Enhance Simulation and Training in Multiteam Systems at I/ITSEC – the world’s premier Modeling&Simulation conference!  I will be there to cheer her on – here’s a brief excerpt from our 2017 results:

ABSTRACT

“Emergency response scenarios often require multiple teams to come together to solve a single problem. When these MTSs act without any prior training focused on the entire system, as opposed to individual team training, there is an increased risk of information not being handed off efficiently or correctly and teams competing instead of collaborating. Unless MTSs develop shared mental models with a common understanding at all levels, including the purpose of each individual role as well as each team in solving the crisis at hand, accidents and avoidable casualties will continue.

Behavioral data analytics can play a key role in making MTS training possible. First, if between-team interactions are identified as inflection points, the data collected during those time periods can be immediately leveraged during after action reviews, without the noise of the extra data collected throughout other parts of the simulation or event. Real-time data is a powerful tool to be used for the enhancement of MTS training. However, the challenges and potential errors in data collection must be considered ahead of time to increase the reliability and the efficacy of trainings developed.”

Using IoT Sensors to Enhance Simulation and Training in Multiteam Systems

Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC).   November, 2017

Jeff Segall, Inflow Interactive LLC and Brenda Bannan PhD, Samantha Dubrow, Christian Dobbins, Stephen Zaccaro, Nathalia Peixoto, Hemant Purohit, Mohammad Rana, Michael Au of George Mason University