Effectiveness and usability of Scanning Wizard software: a tool for enhancing switch scanning.

Scanning Wizard software helps scanning users improve the setup of their switch and scanning system. This study evaluated Scanning Wizard's effectiveness and usability. Ten people who use switch scanning and ten practitioners used Scanning Wizard in the initial session.

Use of Scanning Wizard Can Enhance Text Entry Rate: Preliminary Results.

Scanning Wizard software helps scanning users improve the setup of their switch and scanning system. This study is evaluating Scanning Wizard's effectiveness, with nine people who use single-switch scanning participating to date. Text entry rates have improved by an average of 71%, ranging from 29 to 172% improvement.

Effect of diagnosis, body site and experience on text entry rate of individuals with physical disabilities: a systematic review.

Objective: This study systematically reviewed the research on computer text entry by people with physical disabilities, and conducted a quantitative synthesis of text entry rates associated with individuals' diagnosis, body site used with the interface and their level of experience.

Method: We searched 10 databases and included studies in which: typing speed was reported; the access interface was available for public use; and individuals with physical impairments were in the study population. For quantitative synthesis, we used only the text entry rates (TER) reported for individuals with physical impairments; studies also had to report the sample size, and the average and standard deviation for the text entry rates.

Text entry rate of access interfaces used by people with physical disabilities: A systematic review.

This study systematically reviewed the research on assistive technology (AT) access interfaces used for text entry, and conducted a quantitative synthesis of text entry rates (TER) associated with common interfaces. We searched 10 databases and included studies in which: typing speed was reported in words per minute (WPM) or equivalent; the access interface was available for public use; and individuals with physical impairments were in the study population. For quantitative synthesis, we used only the TER reported for individuals with physical impairments.

Automatic Adjustment of Keyboard Settings Can Enhance Typing.

We developed and evaluated a software tool for the automatic configuration of Windows keyboard settings. The software is intended to accommodate the needs of people with physical impairments, with a goal of improved productivity and comfort during typing. The prototype software, called AutoIDA, monitors user activity during performance of regular computer tasks and recommends the Sticky Keys and key repeat settings to meet the user's specific needs.

Automatic Adjustment of Mouse Settings to Improve Pointing Performance.

This article describes the development and evaluation of a software tool for the automatic configuration of mice and other pointing devices. The software is intended to accommodate the needs of people with physical impairments, with a goal of improved productivity and comfort during computer use. We successfully built prototype software that monitors user activity during performance of regular computer tasks and recommends appropriate Windows mouse settings to meet the user's specific needs.

Method for enhancing text entry rate with single-switch scanning.

Single-switch scanning is a technique used by some individuals for spoken and/or written communication. We developed a method for adjusting the settings in a single-switch scanning interface to increase a user's text entry rate (TER). We evaluated that method with nine individuals who use single-switch scanning to communicate.

Research in computer access assessment and intervention.

Computer access technology (CAT) allows people who have trouble using a standard computer keyboard, mouse, or monitor to access a computer. CAT is critical for enhancing the educational and vocational opportunities of people with disabilities. Choosing the most appropriate CAT is a collaborative decision-making process involving the consumer, clinician(s), and third party payers.

Toward automatic adjustment of pointing device configuration to accommodate physical impairment.

Purpose: Software was developed which makes recommendations regarding configuration of a computer pointing device, such as a mouse, to accommodate a person's physical impairment. Specifically, a software agent automatically recommends a setting for the computer's control-display gain based on observations of a user's performance in a target selection task.

Method: The software agent makes its recommendations based on available adjustment settings in the existing operating system.

Toward automatic adjustment of keyboard settings for people with physical impairments.

Purpose: We are developing a software system called IDA (Input Device Agent), whose goal is to optimally configure input devices for people with physical impairments. This study assessed IDA's ability to recommend three keyboard parameters in response to measurements of typing performance: repeat rate, repeat delay, and use of StickyKeys.

Method: Twelve typists with physical impairments participated.

Factors that influence the performance of experienced speech recognition users.

Performance on automatic speech recognition (ASR) systems for users with physical disabilities varies widely between individuals. The goal of this study was to discover some key factors that account for that variation. Using data from 23 experienced ASR users with physical disabilities, the effect of 20 different independent variables on recognition accuracy and text entry rate with ASR was measured using bivariate and multivariate analyses.

Usage, performance, and satisfaction outcomes for experienced users of automatic speech recognition.

This paper presents a variety of outcomes data from 24 experienced users of automatic speech recognition (ASR) as a means of computer access. To assess usage and satisfaction, we conducted an in-person survey interview. For those participants who had a choice of computer input methods, 48% reported using ASR for 25% or less of their computer tasks, while 37% used ASR for more than half of their computer tasks.