Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
The Social Net
ACM Transactions on Accessible Computing (TACCESS)
E-empowerment: Empowerment by the Internet
Computers in Human Behavior
Internet use and personal empowerment of hearing-impaired adolescents
Computers in Human Behavior
Auditory menus are not just spoken visual menus: a case study of "unavailable" menu items
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Designing a free style, indirect, and interactive storytelling application for people with aphasia
INTERACT'07 Proceedings of the 11th IFIP TC 13 international conference on Human-computer interaction
Universal Access in the Information Society
ACES: promoting empathy towards aphasia through language distortion emulation software
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Identifying emotional states using keystroke dynamics
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A snapshot diary to support conversational storytelling for persons with aphasia
Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services
ACES: aphasia emulation, realism, and the turing test
The proceedings of the 13th international ACM SIGACCESS conference on Computers and accessibility
Personalized dynamic accessibility
interactions
AphasiaWeb: a social network for individuals with aphasia
Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility
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Aphasia is an acquired language disorder resulting from trauma or injury to language areas of the brain. Despite extensive research on the impact of aphasia on traditional forms of communication, little is known about the impact of aphasia on computer-mediated communication (CMC). In this study we asked whether the well-documented language deficits associated with aphasia can be detected in online writing of people with aphasia. We analyzed 150 messages (14,754 words) posted to an online aphasia support forum, by six people with aphasia and by four controls. Significant linguistic differences between people with aphasia and controls were detected, suggesting five putative linguistic HCI markers for aphasia. These findings suggest that interdisciplinary research on communication disorders and CMC has both applied and theoretical implications.