Fig. 1 (abstract O18).

Platform user interface and visualization demonstrating automated performance assessment capabilities (left image) based on real-time detection of interventions during ACLS scenario. Speech to text results for one of the events are represented in each image. Physiological measures (galvanic skin response) collected from simulation participant is shown across the scenario timeline (right image). Note, observer-based instructor performance ratings are distributed at the end of the scenario whereas events detected by the STT and NLP module are detected at millisecond resolution across the scenario timeline. Using the platform, it is possible to synchronize learner physiological responses with each assessment event which provides data related to each learner’s performance and experience.