Compansion: From research prototype to practical integration
Natural Language Engineering
Brain-computer interfaces (BCIs) for communication and control
Proceedings of the 9th international ACM SIGACCESS conference on Computers and accessibility
Relative keyboard input system
Proceedings of the 13th international conference on Intelligent user interfaces
Brain-computer interfaces for speech communication
Speech Communication
SymbolPath: a continuous motion overlay module for icon-based assistive communication
Proceedings of the 14th international ACM SIGACCESS conference on Computers and accessibility
Non-syntactic word prediction for AAC
SLPAT '12 Proceedings of the Third Workshop on Speech and Language Processing for Assistive Technologies
| Hi-index | 0.00 |
Many people with severe speech impairments use icon-based augmentative and alternative communication (AAC) systems. These systems typically present users with hierarchical arrays of icons that are sequentially selected to construct messages, which are then voiced by text-to-speech (TTS) engines. For the people who use these systems, it is important that the message construction task be fast and physically comfortable; unfortunately, current systems are often slow and require repetitive physical movements that are fatiguing. The current work aims to examine three main assumptions that are commonly made during the design of icon-based AAC systems. These assumptions may contribute to design decisions that place the major burden of work on the user rather than the system. This work aims to remove these assumptions from the design process and address the resulting problems with a systematic set of algorithms and design approaches. By mitigating the need for these fundamental design assumptions, it may be possible to shift work from the user to the system and allow for faster, less fatiguing communication. The removal of some of these assumptions may also enable future innovation in the field of icon-based AAC, and AAC in general, especially when leveraging continuous modalities, such as brain waves.