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| Content Provider | ACM Digital Library |
|---|---|
| Author | Steriadis, Constantine E. Constantinou, Philip |
| Copyright Year | 2003 |
| Abstract | The need for participation in an emerging Information Society has led to several research efforts for designing accessibility solutions for disabled people. In this paper we present a method for developing Human-Computer Interfaces (HCIs) for quadriplegic people in modern programming environments. The presented method accommodates the design of scanning interfaces with modern programming tools, leading to flexible interfaces with improved appearance and it is based on the use of specially designed software objects called $"\textit{wifsids}"$ (Widgets For Single-switch Input Devices). The wifsid structure is demonstrated and 4 types of wifsids are analyzed. Developed software applications are to be operated by single-switch activations that are captured through the wifsids, with the employment of several modes of the scanning technique. We also demonstrate the "Autonomia" software application, that has been developed according to the specific methodology. The basic snapshots of this application are analyzed, in order to demonstrate how the wifsids cooperate with the scanning process in a user-friendly environment that enables a quadriplegic person to access an ordinary computer system. |
| Starting Page | 87 |
| Ending Page | 118 |
| Page Count | 32 |
| File Format | |
| ISSN | 10730516 |
| e-ISSN | 15577325 |
| DOI | 10.1145/772047.772049 |
| Volume Number | 10 |
| Issue Number | 2 |
| Journal | ACM Transactions on Computer-Human Interaction (TOCHI) |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2003-06-01 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Accessibility Assistive technology Augmentative communications Disability Graphical keyboard Motor-impaired users Mouse simulation Quadriplegic people Scanning selection Single-switch input Wifsid Word-prediction |
| Content Type | Text |
| Resource Type | Article |
| Subject | Human-Computer Interaction |
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