Access to AAC: Present, past, and future

References

• American Speech and Hearing Association [ASHA]. Research on Utterance-Based Communication. 2001, (Guest Editor, Jeff Higginbotham), American Speech and Hearing Association, Special Interest Group 12 Newsletter on Augmentative and Alternative Communication
   Google Scholar
• Angelo J. Assistive Technology for rehabilitation therapists. Davis, Philadelphia, PA 1997
   Google Scholar
• Baker B. Using images to generate speech. Byte 1986; 11: 160–168
   Google Scholar
• Bedrosian J. L., Hoag L. A., McCoy K. F. Relevance and speed of message delivery trade-offs in augmentative and alternative communication. Journal of Speech, Language, and Hearing Research 2004; 46: 800–817
   Web of Science ®Google Scholar
• Bergen A. F., Presperin J., Tallman T. Positioning for function. Wheelchairs and other assistive technologies. Valhalla Rehabilitation Publications, Valhalla, NY 1990
   Google Scholar
• Beukelman D., Mirenda P. Augmentative and Alternative Communication: Management of severe communication disorders in children and adults3rd ed. Paul H. Brookes, Baltimore, MD 2005
   Google Scholar
• Beukelman D., Fager S., Ball L., Dietz A. Use of AAC to enhance social participation of adults with neurological conditions. 2007
   Google Scholar
• Augmentative Communication: An introduction, S. Blackstone. American Speech-Language-Hearing Association, Rockville 1986
   Google Scholar
• Blackstone S., Light J., Beukelman D., Shane H. Visual Scene Display. Augmentative Communication News. 2004; 16(2)
   Google Scholar
• Blackstone S. Vision and AAC. Augmentative Communication News 2005; 17(4)1–6
   Google Scholar
• Blackstone S. W., Williams M. B., Wilkins D. P. Key principles underlying research and practice in AAC. Augmentative and Alternative Communication 2007; 23(3)191–203
   PubMed Web of Science ®Google Scholar
• Bradley N. S. Motor control: Developmental aspects of motor control in skill acquisition. Physical therapy for children, S. K. Campbell. W.B. Saunders, Philadelphia, PA 1994; 39–77
   Google Scholar
• Brennan S. E. The grounding problem in conversations with and through computers. Social and cognitive psychological approaches to interpersonal communication, S. R. Fussell, R. J. Kreuz. Lawrence Erlbaum, Hillsdale, NJ 1998; 201–225
   Google Scholar
• Cheng D., Vertegaal R. (2004) An eye for an eye: A performance evaluation comparison of the LC technologies and tobii eye trackers. Proceedings of ACM Eye Tracking Research and Applications Symposium 2004, San Antonio, TX, 2004
   Google Scholar
• Clark H. H. Using language. Cambridge University Press, Cambridge 1996
   Google Scholar
• Clark H. H., Brennan S. E. Grounding in communication. Perspectives on socially shared cognition, L. Resnick, J. Levine. American Psychological Association, Washington, DC 1991; 127–149
   Google Scholar
• Coleman C., Cook A., Meyers L. Assessing non-oral clients for assistive communication devices. Journal of Speech and Hearing Disorders 1980; 45: 185–191
   Google Scholar
• Cook A., Hussey S. Assistive technologies: principles and practice2nd ed. Mosby, New York 2001
   Google Scholar
• Delgado M. R., Albright A. L. Movement disorders in children: Definitions, classifications, and grading systems. Journal of Child Neurology 2003; 18(Suppl. 1)S1–S8
   PubMedGoogle Scholar
• DeRuyter F., McNaughton D., Caves K., Bryen D. N., Williams M. B. Enhancing AAC Connections with the World. Augmentative and Alternative Communication 2007; 23(3)258–270
   PubMed Web of Science ®Google Scholar
• Dietz A., McKelvey M., Beukelman D. R. Visual Scene Displays (VSD): New AAC interfaces for persons with aphasia. Perspectives on Augmentative and Alternative Communication 2006; 15: 13–17
   Google Scholar
• Dominowska E., Roy D., Patel R. An adaptive context-sensitive communication aid. Proceedings of the CSUN International Conference on Technology and Persons with Disabilities, Northridge, CA, 2002, Retrieved February, 2007, from http://www.csun.edu/cod/conf/2002/proceedings/109.htm
   Google Scholar
• Farrier L. D., Yorkston K. M., Marriner N. A., Beukelman D. R. Conversational control in non-impaired speakers using an augmentative communication system. Augmentative and Alternative Communication 1985; 1: 65–73
   Google Scholar
• Conversation and brain damage, C. Goodwin. Oxford University Press, Oxford 2003
   Google Scholar
• Gumperz J. J., Levinson S. C. Rethinking linguistic relativity: Studies in the social and cultural foundations of language 17. Cambridge University Press, Cambridge 1996
   Google Scholar
• Hansen D. W., Hansen J. P. Robustifying eye interaction. Paper presented at the conference on Computer Vision and Pattern Recognition Workshop. 2006; 152–152
   Google Scholar
• Hansen J. P., Tørning K., Johansen A. S., Itoh K., Aoki H. Gaze typing compared with input by head and hand. Proceedings of the Symposium on Eye Tracking Research & Applications. 2004; 131–138
   Google Scholar
• Heeschen C., Schegloff E. A. Aphasic agrammatism as interactional artifact and achievement. Conversation and brain damage, C. Goodwin. Oxford University Press, New York 2003; 231–282
   Google Scholar
• Higginbotham D. J., Caves K. AAC performance and usability issues: The effect of AAC technology on the communicative process. Assistive Technology 2002; 14(1)45–57
   PubMedGoogle Scholar
• Higginbotham D. J., Welch T. Visual considerations for individuals with complex communication needs. Presentation at the annual conference of the Assistive Technology Industry Association, Orlando, FL, 2006
   Google Scholar
• Higginbotham D. J., Wilkins D. A system and method for utilizing communication frames in augmented communication technologies US Patent 5,956,667. 1999a, US Patent and Trademark Office
   Google Scholar
• Higginbotham D. J., Wilkins D. P. Slipping through the timestream: Social issues of time and timing in augmented interactions. The social construction of language incompetence, D. Kovarsky, J. Duchan, M. Maxwell. Erlbaum, Mahwah, NJ 1999b; 49–82
   Google Scholar
• Higginbotham D. J., Wilkins D. P., Lesher G. W., Moulton B. J. Frametalker: A communication frame and utterance-based augmentative communication device. Paper presented at the RESNA '99 annual conference, Los Angeles, CA, 1999
   Google Scholar
• Higginbotham D. J., Lesher G., Todman J., File P., Wilkins D. Utterance based communication: Theory, research & design. Short course presented at the annual conference of the Rehabilitation Engineering Society of North America, Minneapolis, 2002
   Google Scholar
• Higginbotham D. J., Lesher G., Wilkins D. The Frametalker project: An utterance-based communication system. Paper presented at the Assistive Technology Industry Association Conference, Orlando, FL, 2006
   Google Scholar
• Higginbotham D. J., Bisantz A. M., Sumn M., Adams K., Yik F. The effect of context priming and task type on augmentative communication performance. In review 2007
   Google Scholar
• Hill K. J. The development of a model for automated performance measurement and the establishment under two sampling conditions. 2001, Dissertation Abstracts International, 62(05), 2293B (UM No. 3013368)
   Google Scholar
• Hochberg L., Serruya M., Friehs G., Mukand J., Saleh M., Caplan A., Banner A., Chen D., Penn R. D., Donoghue J. P. Neuronal ensemble control of prosthetic devices by a human with tetraplegia. Nature 2006; 442: 164–171
   PubMed Web of Science ®Google Scholar
• Hunt-Berg M. The Bridge School: Education inclusion outcomes over 15 years. Augmentative and Alternative Communication 2005; 21: 116–131
   Web of Science ®Google Scholar
• Hutchins Edwin. Cognition in the wild. The MIT Press, Cambridge, MA 1994
   Google Scholar
• Hux K., Rankin-Ericson J., Manasse N., Lauritzen E. Accuracy of three speech recognition systems: Case study of dysarthric speech. Augmentative and Alternative Communication 2000; 16: 186–196
   Google Scholar
• Itoh K., Aoki H., Hansen J. P. A comparative usability study of two Japanese gaze typing systems. Proceedings of the Symposium on Eye Tracking Research and Applications. San Diego, CA 2006; 59–66
   Google Scholar
• Jacko J. A., Vitense H. S. A review and reappraisal of information technologies within a conceptual framework for individuals with disabilities. Universal Access in the Information Society 2001; 1: 56–76
   Google Scholar
• Karat C., Halverson C. A., Horn D. B., Karat J. Patterns of entry and correction in large vocabulary continuous speech recognition systems. Proceedings of the CHI '99 Conference. Pittsburgh, PA 1999; 568–575
   Google Scholar
• Kennedy P. R., Bakay R. A. E., Moore M. M., Adams K., Goldwaithe J. Direct control of a computer from the human central nervous system. IEEE Transactions on Rehabilitation Engineering 2000; 8: 198–202
   PubMedGoogle Scholar
• Kim K. E. Effect of speech rate on the comprehension and subjective judgments of synthesized narrative discourse. 2001, Dissertation Abstracts International, 62(04), 1836B (UMI No. 3010837)
   Google Scholar
• Koester H. H. Factors that influence the performance of experienced speech recognition users. Assistive Technology 2006; 18(1)56–76
   PubMed Web of Science ®Google Scholar
• Koester H. H., Levine S. P. Learning and performance of able-bodied individuals using scanning systems with and without word prediction. Assistive Technology 1994; 6(1)42–53
   PubMedGoogle Scholar
• Koester H. H., Levine S. P. Effect of a word prediction feature on user performance. Augmentative and Alternative Communication 1996; 12: 155–168
   Google Scholar
• Koester H. H., Levine S. P. Keystroke-level models for user performance with word prediction. Augmentative and Alternative Communication 1997; 13: 239–257
   Google Scholar
• Kovach T., Kenyon P. B. Visual issues and access to AAC. Communicative competence for individuals who use AAC, J. Light, D. Beukelman, J. Reichle. Paul H. Brookes, Baltimore, MD 2003; 277–319
   Google Scholar
• Kratt A. Communication Interaction between aided and natural speakers. A state of the art report. Canadian Rehabilitation Council for the Disabled, Toronto 1985
   Google Scholar
• Lee K., Thomas D. Control of computer based technology for people with physical disabilities: An assessment manual. University of Toronto Press, Toronto 1990
   Google Scholar
• Lesher G., Moulton B., Higginbotham D. J., Alsofrom B. Acquisition of scanning skills: The use of an adaptive scanning delay algorithm across four scanning displays. Proceedings of the Rehabilitation Engineering Society of North America, Minneapolis, MN. 2002
   Google Scholar
• Liang R., Ouhyoung M. A Real-time continuous gesture recognition system for sign language. Proceedings of the 3rd International Conference on Automatic Face and Gesture Recognition. NaraJapan 1998; 558–567
   Google Scholar
• Light J., Drager K. AAC technologies for young children with complex communication needs: State of the science and future research directions. Augmentative and Alternative Communication 2007; 23(3)204–216
   PubMed Web of Science ®Google Scholar
• Light J., Lindsay P. Message-encoding techniques for augmentative communication systems: The recall performances of adults with severe speech impairments. Journal of Speech and Hearing Research 1992; 35: 853–864
   PubMedGoogle Scholar
• Light J., Lindsay P., Siegel L., Parnes P. The effects of message encoding techniques on recall by literate adults using AAC systems. Augmentative and Alternative Communication 1990; 6: 184–201
   Google Scholar
• Light J., Beukelman D., Reichle J. Communicative competence for individuals who use AAC. Paul H. Brookes, Baltimore, MD 2003
   Google Scholar
• Light J., Drager K., McNaughton D., Sharma R., Rauschert I., Harris A., Scaven L., Sellnow K., Worah S. Improving access to AAC technologies through a multimodal recognition interface. Poster presentation at the American Speech-Language and Hearing Association, San Diego, CA, 2005
   Google Scholar
• Lloyd L., Fuller D., Arvidson H. Augmentative and Alternative Communication: A handbook of principles and practices. Allyn and Bacon, Massachusetts 1997
   Google Scholar
• Luo F., Higginbotham D. J., Lesher G. Webcrawler: Enhanced augmentative communication. Paper presented at CSUN Conference on Disability Technology, March, Los Angeles. 2007
   Google Scholar
• Majaranta P., Räihä J. K. Twenty years of eye typing: systems and design issues. Proceedings of the 2002 Symposium on Eye Tracking Research & Applications, New OrleansLouisiana, 2002; 15–22
   Google Scholar
• Mandich A., Polatajko H., Macnab J., Miller L. Treatment of children with developmental coordination disorder: What is the evidence?. Physical and Occupational Therapy in Pediatrics 2001; 20(2/3)51–68
   PubMedGoogle Scholar
• McEwen I., Lloyd D. D. Positioning students with cerebral palsy to use augmentative and alternative communication. Language, Speech and Hearing Services in Schools 1990; 21: 15–21
   Google Scholar
• McFarland D. J., Sarnacki W. A., Wolpaw J. R. Brain-computer interface (BCI) operation: Optimizing information transfer rates. Biological Psychology 2003; 63(3)237–251
   PubMed Web of Science ®Google Scholar
• McKean E. New Oxford American Dictionary2nd ed. Oxford University Press, New York 2005
   Google Scholar
• McKelvey M., Dietz A., Hux K., Weissling K., Beukelman D. Performance of a person with chronic aphasia using a visual scenes display prototype. Journal of Medical Speech-Language Pathology 2007; 15: 305–317
   Web of Science ®Google Scholar
• Moats L. C. Speech to print. Paul H. Brookes, Baltimore, MD 2000; 229
   Google Scholar
• Morrison K., McKenna S. J. Automatic visual recognition of gestures made by motor-impaired computer users. Technology and Disability 2002; 14: 197–203
   Google Scholar
• Nimec D. Family guide to management of spasticity. Boston, MA 1994, Available from Spaulding Rehabilitation Hospital, 125 Nashua Street, 02114
   Google Scholar
• Norman D. A. The psychology of everyday things. Basicbooks, Inc., New York 1988
   Google Scholar
• Oviatt S. Taming recognition errors with a multimodal interface. Communication of the ACM 2000; 43(9)45–51
   Web of Science ®Google Scholar
• Oviatt S. Flexible and robust multimodal interfaces for universal access. Universal Access in the Information Society 2003; 2: 91–95
   Google Scholar
• Palmeri T. J. Automaticity. Encyclopedia of cognitive science, L. Nadel, et al. Nature Publishing Group, London 2002; 290–301
   Google Scholar
• Palmowski A., Jost W. H., Osterhage J., Kasmann B., Schimrigk K., Ruprecht K. W. Eye movement in amyotrophic lateral sclerosis: A longitudinal study. German Journal of Opthalmology 1995; 4: 355–362
   PubMedGoogle Scholar
• Phillips B., Flemming B., Lin A., Suemori N. Eye tracking technologies: A comparative study. Paper presented at the 2001 Technology for Persons with Disabilities Conference, Los Angeles, CA, 2001
   Google Scholar
• Poock G. K., Blackstone S. W. Using information theory to measure effectiveness of an augmentative and alternative communication display. Augmentative & Alternative Communication 1992; 8: 287–296
   Google Scholar
• Robillard Albert B. Meaning of a Disability: The lived experience of paralysis. Temple University Press, Philadelphia, PA 1999
   Google Scholar
• Roy D. M., Panayi M., Erenshteyn R., Foulds R., Fawcus R. Gestural human-machine interaction for people with severe speech and motor impairment due to cerebral palsy. Paper presented at the Conference on Human Factors in Computer Systems, Boston, MA, 1994
   Google Scholar
• Santhanam G., Ryul S. I., Yu1 B. M., Afshar A., Shenoy1 K. A. A high-performance brain – computer interface. Nature 2006; 442: 195–198
   PubMed Web of Science ®Google Scholar
• Scull J., Hill L. A computerized communication message preparation program that “learns” the user's vocabulary. Augmentative & Alternative Communication 1988; 4: 40–44
   Google Scholar
• Serby H., Yom-Tov E., Inbar G. An improved P300-based brain-computer interface. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2005; 13(1)89–98
   PubMed Web of Science ®Google Scholar
• Shane H., Costello J. Augmentative communication assessment and the feature matching process. Mini-seminar presented at the Annual Convention of the American Speech-Language-Hearing Association, New Orleans, LA, November, 1994
   Google Scholar
• Simpson R., Koester H. H. Adaptive one-switch row-column scanning. IEEE Transactions on Rehabilitation Engineering 1999; 7: 464–473
   PubMedGoogle Scholar
• Stuckless R. Developments in real-time speech-to-text communication for people with impaired hearing. Communication access for people with hearing loss, M. Ross. York Press, Baltimore, MD 1994; 197–226
   Google Scholar
• Todman J. Rate and quality of conversations using a text-storage AAC system: Single-case training study. Augmentative and Alternative Communication 2000; 16(3)164–179
   Google Scholar
• Todman J., Alm N., Elder L. Computer-aided conversation: A prototype system for nonspeaking people with physical disabilities. Applied Psycholinguistics 1994; 15: 45–73
   Web of Science ®Google Scholar
• Todman J., Rankin D., File P. The use of stored text in computer-aided conversation: A single-case experiment. Language and Social Psychology 1999; 18: 287–309
   Web of Science ®Google Scholar
• Trefler E., Hobson D. A., Taylor S. J., Monahan L. C., Shaw C. G. Seating and mobility for persons with physical disabilities. Therapy Skill Builders, Tucson 1993
   Google Scholar
• Treviranus J., Roberts V. Supporting competent motor control of AAC systems. Communicative competence in individuals who use AAC, J. Light, D. Beukelman, J. Reichle. Paul H. Brookes, Baltimore, MD 2003; 199–240
   Google Scholar
• Vanderheiden G. A unified quantitative modeling approach for selection based augmentative communication systems. The vocally impaired: Clinical practice and research, L. Bernstein. Grune & Stratton, Philadelphia, PA 1988; 40–83
   Google Scholar
• Vanderheiden G., Kelso D. Comparative analysis of fixed vocabulary communication acceleration techniques. Augmentative and Alternative Communication 1987; 4: 196–206
   Google Scholar
• Vanderheyden P. B. An augmentative communication interface based on conversational schemata. Proceedings of the IJCAI '95 Workshop on Developing AI Applications for Disabled People. 1995; 203–212
   Google Scholar
• Venkatagiri H. S. Effect of window size on rate of communication in a lexical prediction AAC system. Augmentative & Alternative Communication 1994; 10: 105–112
   Google Scholar
• Wilkins D. P., Higginbotham D. J. AAC in action: A new model for understanding AAC performance. Paper presented at the biennial conference of the United States Society for Augmentative and Alternative Communication, Los Angeles, CA, 2005
   Google Scholar
• Wisenburn B., Higginbotham D. J. An AAC application using speaking partner speech recognition to automatically produce contextually relevant messages. 2007, (in press)
   Google Scholar
• Wolpaw J. R., Birbaumer N., McFarland D. J., Pfurtscheller G., Vaughan T. J. Brain-computer interfaces for communication and control. Clinical Neurophysiology 2002; 113: 767–791
   PubMed Web of Science ®Google Scholar
• Yang X., Jiang F., Liu H., Yao H., Gao W., Wang C. Visual sign language recognition based on HMMs and Auto-regressive HMMs. Gesture in Human-Computer Interaction and Simulation 2006; 3881: 80–83
   Web of Science ®Google Scholar