We propose to develop a critical enhancement to an existing interactive task guidance system, integrating the capability to utilize data from sensors and control actuators. The system will allow caregivers or rehabilitation professionals to incorporate sensors and actuators into a task script in order to detect task state; detect user state; detect environmental context; detect safety risks; or partly automate a task. The system will be extensible, allowing arbitrary sensors and actuators to be incorporated into the system as needed for a specific client, or as new sensors and applications emerge. In Phase I, the following subtasks will be achieved: Develop an infrastructure that supports integration of arbitrary sensors and actuators. Integrate one representative suite of sensors and actuators as a proof of concept. Evaluate system usability for a sample of people who have experienced traumatic brain injuries. Develop a user interface for designing tasks which incorporate sensor responses and actuator control into task plans. Evaluate the usability of the task design user interface. Demonstrate interoperability between the task design interface and the cueing system. Evaluate results from both usability trials and integrate into a design for the Phase II system.
Keywords: Cognitive, Brain Injury, Assistive Technology, Task Guidance, Sensors, Activities Of Daily Living, Executive Function, Human-Computer Interface
