User-Task Adaption for effective interactive simulation environments

Funding Source: ARC Discovery Project

This project aims at creating novel adaptive algorithms to automatically discover those user and task features that vary together to smartly adapt users and simulation tasks to work together harmoniously, seamlessly and effectively. By bringing the user naturally inside the simulation as a task's component, users can improve their experience while task performance is simultaneously optimized. Intended scientific outcomes include novel dynamic user-task profiling algorithms, new adaptive algorithms for user-task co-adaptation, and high impact publications. Prospective practical outcomes include robust and highly effective simulation environments, strong research training, and personnel with superb skills for the Australian knowledge economy.

 

Return to Trusted Autonomy >>

UNSW Canberra Academics Involved: 
Professor Hussein Abbass
Associate Professor Kathryn Kasmarik