I will co-organize a special thematic session at ICCHP'18, with Georges Badr, on "Using prediction system with an AAC"
Using prediction system with a text input system
People with severe motor disabilities, such as myopathy, cerebral palsy and musculoskeletal disorders, have difficulties in using physical keyboards. Generally, they are forced to use a virtual on-screen keyboards, also called soft keyboards. People use it with an adapted pointing device. However, the use of a single pointer slows down text input. In addition, the repetitive moves between keys quickly tire the user.
To solve these problems, several solutions have been explored. Some of them take advantage of letter co-occurrence or word statistics in language. They mainly suggest a static or dynamic reorganization of the keyboard or other dynamic improvements: A well known technique is to provide a word completion list to reduce the number of actions to enter a word.
This Special Thematic Session (STS) will discuss recent experience and contributions on work for enhancing text entry accessibility with a prediction system for motor disabled people. This Special Thematic Session will consider all aspects of research on text entry and its interaction with prediction system, including (but not limited to):
- Measures and models,
- HCI Design,
- Evaluation & User experience.
Important Dates: Deadline for Papers / extended Abstracts: February 1, 2018
Submission Instructions: Contributions to a STS have to be submitted using the standard submission procedures of ICCHP at: http://www.icchp.org/submission-18
- Mathieu Raynal
University of Toulouse, France firstname.lastname@example.org
- Georges Badr
Antonine University, Lebanon email@example.com