ExTrace is a new automatic After Action Review product, designed to simplify a training review task by automatically analysing sensor and trainee action data on the fly and reporting automatically in whatever way is most useful to an instructor.

  • Save Time and Effort

    Assist instructors in making swift, repeatable, auditable and objective performance analysis.

  • Improve Training Outcomes

    Lower the “cognitive load” on trainers and trainees.

  • Lower Training Costs

    Allow training with lower expertise instructors, or self-training with automated feedback.

Developed in collaboration with Deakin University’s Institute for Intelligent Systems Research & Innovation (IISRI) and School of Medicine (SOM), ExTrace has been a live project since 2009, attracting funding support from both the Australian Research Council (ARC) Linkage program and more recently the Science and Industry Endowment Fund through CSIRO’s SME Connect.

ExTrace applies the concept of event trajectory analysis. Put simply, it means a trainee’s actions, their timing, and logical relationships will be analysed against what is considered an “ideal performance trajectory” of whatever exercise or task is encoded in the system’s database. A local subject matter expert will be able to define how the key points of the analysis are defined and presented, without resorting to any form of technical support.

It has the potential to improve training outcomes by lowering the “cognitive load” on trainers and trainees, and to save cost by allowing training with a lower expertise instructor, or even self-training by the student with automated feedback.

ExTrace provides the opportunity to save time and effort and assist instructors in making swift, repeatable, auditable and objective performance analyses, rather than rely on manual and cognitively demanding assessment and inefficient, subjective and localised techniques.

ExTrace is at a high technology readiness level, with a system prototype ready to be validated in an operational environment at Deakin’s SOM.