A System for Automated Real-time Collaboration Assessment for Distributed Environments (ARCADE)

As mission needs evolve, specialties and resources can be brought to bear through cross-agency or coalition collaborations. Each collaborator who joins the team brings along his or her training, doctrine, and processes, which introduces collaboration challenges. An automated capability to assess the effectiveness of collaboration in real time would help to ensure that command teams are collaborating optimally. The key challenge in that capability, however, is making the links from measurable data to effective collaborative performance. To provide that automated collaboration performance capability, we propose to design and demonstrate a system for Automated Real-time Collaboration Assessment for Distributed Environments (ARCADE). Four core components characterize our approach. First, we will conduct a requirements analysis to determine the needs of collaborating command teams. Second, we will design a Performance Assessment Fusion Framework, taking a multimodal, task-independent approach. Third, we will design a set of automated Performance Analysis Techniques to capture communication using wireless sensors and digital capture of electronic communication. These techniques will leverage statistical analysis, NLP, and linguistic style to assess trends and content across modalities of communication, and calculate performance criteria. Fourth, we will design a User Interface to enable command teams to review their collaborative performance.