Modeling and Understanding Human-Machine Teaming and Decision Making

Project Abstract/Statement of Work:

We propose a system to support human-machine teaming with the goal of augmenting existing Wikipedia team members’ abilities in managing Wikipedia projects by automatically coordinating communications and task assignment to optimize opportunistic team performance. We propose a Reinforcement Learning-based system that can automatically reason about and forecast quality of an article using information about the article topic and current team working on the article (e.g., team roles, team member experience). When the system predicts team performance that could potentially negatively impact the quality of the article, it will automatically act to suggest changes to the current team or process to improve the quality of the article. There are four main phases in the project.