Assisting people with developmental disabilities to improve pointing efficiency with an Automatic Pointing Assistive Program
ABSTRACT This study evaluated whether two children with developmental disabilities would be able to improve their pointing performance through an Automatic Pointing Assistive Program (APAP) and a newly developed mouse driver (i.e. a new mouse driver replaces standard mouse driver, and is able to intercept mouse click action). Initially, both participants had their baseline sessions. Then intervention started with the first participant. When her performance was consolidated, new baseline and intervention occurred with the second participant. Finally, both participants were exposed to maintenance phase, in which their pointing performance improved significantly. Data indicated that both participants: (a) improved their pointing efficiency with the use of APAP and (b) remained highly successful through maintenance phase. Implications of the findings are discussed.
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ABSTRACT: The latest research proposed a novel computer input device to improve people with disabilities pointing efficiency. The proposed device adopted Screen-Partitioning method that users could use a commercial numerical keyboard as the input device of the device instead of special-design device to provide users with an inexpensive, flexible, and easily maintained computer pointing device, and adopted an Auxiliary-Window-Screen design that provided users with a visual operating environment. However, the effect of the latest research in moving mouse cursor is likely weak when a target is extremely small or the resolution of computer screen is too high. Thus, this study proposed an extended design according to previous device to help people with disabilities improve the pointing efficiency.
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ABSTRACT: In this paper, the upper bounds for a multivariable fuzzy logic controller under Godel's implication have been investigated and a generalized multivariable structure of a fuzzy controller has been proposed. Contribution operators, such as the max (v) operation, ensure the greatest upper bound as well as the least upper bound. Conditions which determine an appropriate upper bound are also determined. This theory has applications in the design of fuzzy logic controllers.