This research will demonstrate the technical merit, feasibility and cost efficiency of developing a highly flexible and intelligent scanning keyboard technology that can help single switch users optimize their performance and enjoyment. The specific application area to be demonstrated and tested in this project is to provide a faster alternative to existing scanning keyboard technologies. Specific aims for Phase I are to: construct a prototype that incorporates statistical analysis and neural net algorithms to provide important feedback to the therapist and improved prediction capability to the user perform a usability analysis with actual users to test the feasibility of easily tailoring a scanning keyboard system to an individual's capabilities, enabling them to perform to the best of their ability In addition, a cost and time comparison will be made between this system and conventional scanning keyboard systems. Summary of Anticipated Results and Implications: Successful use of this device will enable a supervisor, therapist or care giver to make informed choices when customizing the system for a single switch user, maximizing the users ability to more quickly navigate, control and enter data into their computing environment. This project targets a population that has been under-served by existing technology. There is significant demand for a flexible system that covers a wide range of users, and yet is easy to configure to an individual's capability. The ability to express themselves more quickly due to the superior prediction capability will also appeal to users as well.
