Convenient intelligent cursor control web systems for Internet users with severe motor-impairments

Area of Science:

• Human-Computer Interaction
• Computational Intelligence
• Assistive Technology

Background:

• Graphical User Interfaces (GUIs) rely on "point and click" interactions, which are challenging for individuals with severe motor impairments.
• Spinal cord injury (SCI) or spinal cord dysfunction (SCD) can significantly limit computer usability for affected individuals.
• Existing assistive technologies may not fully address the accuracy and efficiency needs for these users.

Purpose of the Study:

• To simplify and enhance cursor control efficiency for computer users with disabilities.
• To investigate the application of fuzzy logic in decision-making for improved human-computer interaction.
• To enable convenient and easy internet access for individuals with motor impairments.

Main Methods:

• Development of a novel fuzzy mouse cursor control system (FMCCS).
• Implementation of fuzzy control functions to manage diverse user interactions.
• Prototyping and user testing with individuals experiencing severe motor disabilities.

Main Results:

• The FMCCS demonstrates potential for improving cursor control accuracy and efficiency.
• Fuzzy logic integration facilitates more intuitive and accessible computer interactions.
• Initial testing with real users indicates positive usability outcomes.

Conclusions:

• The fuzzy mouse cursor control system offers a promising approach to enhance computer accessibility.
• Computational Intelligence, specifically fuzzy logic, can advance assistive technologies for motor-impaired users.
• Further development and testing are warranted to optimize the system for broader application.