Understanding user evaluations of information systems
Management Science
The keystroke-level model for user performance time with interactive systems
Communications of the ACM
Modelling both the Context and the User
Personal and Ubiquitous Computing
Information Filtering: Overview of Issues, Research and Systems
User Modeling and User-Adapted Interaction
A three-state model of graphical input
INTERACT '90 Proceedings of the IFIP TC13 Third Interational Conference on Human-Computer Interaction
Context-aware communication for severely disabled users
CUU '03 Proceedings of the 2003 conference on Universal usability
A galvanic skin response interface for people with severe motor disabilities
Assets '04 Proceedings of the 6th international ACM SIGACCESS conference on Computers and accessibility
Brain-Computer Interfacing for Intelligent Systems
IEEE Intelligent Systems
ACM Transactions on Accessible Computing (TACCESS)
SPSS Survival Manual: A Step by Step Guide to Data Analysis Using SPSS for Windows Version 15
SPSS Survival Manual: A Step by Step Guide to Data Analysis Using SPSS for Windows Version 15
IEEE Transactions on Robotics - Special issue on rehabilitation robotics
Performing Locomotion Tasks in Immersive Computer Games with an Adapted Eye-Tracking Interface
ACM Transactions on Accessible Computing (TACCESS)
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There is a variety of brain-based interface methods which depend on measuring small changes in brain signals or properties. These methods have typically been used for nontraditional assistive technology applications. Non-traditional assistive technology is generally targeted for users with severe motor disabilities which may last long-term due to illness or injury or short-term due to situational disabilities. Control of a nontraditional assistive technology can vary widely across users depending upon many factors ranging from health to experience. Unfortunately, there is no systematic method for assessing usability of nontraditional assistive technologies to achieve the best control. The current methods to accommodate users through trial-and-error result in the loss of valuable time and resources as users sometimes have diminishing abilities or suffer from terminal illnesses. This work describes a methodology for objectively measuring an individual’s ability to control a specific nontraditional assistive technology, thus expediting the technology-fit process.