Improving Target Acquisition for Computer Users With Athetosis

References

• Angelo, J. (1992). Comparison of three computer scanning modes as an interface method for persons with cerebral palsy. American Journal of Occupational Therapy,46(3), 217–222. doi:10.5014/ajot.46.3.217
   PubMed Web of Science ®Google Scholar
• Blakeley, J., & Jankovic, J. (2002). Secondary causes of paroxysmal dyskinesia. Advances in Neurology,89, 401–420.
   PubMed Web of Science ®Google Scholar
• Blanch, R., Guiard, Y., & Beaudouin-Lafon, M. (2004). Semantic pointing: Improving target acquisition with control display ratio adaptation In Proceedings of the SIGCHI Conference on Human Factors in Computing System (CHI’04) (pp. 520–526), Vienna, Austria.
   Google Scholar
• Bohannon, R., & Smith, M. (1987). Interrater reliability of a modified Ashworth scale of muscle spasticity. Physical Therapy,67(2), 206–207.
   PubMed Web of Science ®Google Scholar
• Collin, C., Wade, D. T., Davies, S., & Horne, V. (1988). The Barthel ADL Index: A reliability study. International Disability Studies,10(2), 61–63.
   PubMedGoogle Scholar
• Fitts, P. M. (1954). The information capacity of the human motor system in controlling the amplitude of movement. Journal of Experimental Psychology,47, 381–391. doi:10.1037/h0055392
   PubMedGoogle Scholar
• Grossman, T., & Balakrishnan, R. (2005). The Bubble Cursor: Enhancing target acquisition by dynamic resizing of the cursor’s activation area. In Proceedings of the SIGCHI Conference on Human Factors in Computing System (CHI’05) (pp. 281–290), Portland, Oregon.
   Google Scholar
• Hourcade, J. P., Nguyen, C. M., Perry, K. B., & Denburg, N. L. (2010). Pointassist for older adults: Analyzing sub-movement characteristics to aid in pointing tasks. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ‘10) (pp. 1115–1124). New York, NY.
   Google Scholar
• Hwang, F., Hollinworth, N., & Williams, N. (2013). Effects of target expansion on selection performance in older computer users. ACM Transactions on Accessible Computing, 5(1), Article 1, 1–26. doi:10.1145/2531922.2514848
   Google Scholar
• Hwang, F., Keates, S., Langdon, P., & Clarkson, J. (2004). Mouse movements of motion-impaired users: A submovement analysis. In ACM ASSETS Conference (pp. 102–109). Atlanta, GA.
   Google Scholar
• Koven, L. J., & Lamm, S. S. (1954). The athetoid syndrome in cerebral palsy. Pediatrics,14, 181–192.
   PubMed Web of Science ®Google Scholar
• Lau, C., & O’Leary, S. (1993). Comparison of computer interface devices for persons with severe physical disabilities. American Journal of Occupational Therapy,47(11), 1022–1030. doi:10.5014/ajot.47.11.1022
   PubMed Web of Science ®Google Scholar
• Mahajan, H., Spaeth, D. M., Dicianno, B. E., Collins, D. M., Boninger, M. L., & Cooper, R. A. (2011). Comparison of virtual wheelchair driving performance of people with traumatic brain injury using an isometric and a conventional joystick. Archives of Physical Medicine and Rehabilitation,92(8), 1298–1304. doi:10.1016/j.apmr.2011.03.011
   PubMed Web of Science ®Google Scholar
• McGuffin, M. J., & Balakrishnan, R. (2005). Fitts’ law and expanding targets: Experimental studies and designs for user interfaces. ACM Transactions on Computer-Human Interaction,12(4), 388–422. doi:10.1145/1121112.1121115
   Google Scholar
• Murata, A. (1998). Improvement of pointing time by predicting targets in pointing with a pc mouse. International Journal of Human-Computer Interaction,10(1), 23–32. doi:10.1207/s15327590ijhc1001_2
   Web of Science ®Google Scholar
• Neilson, P. D. (1974a). Voluntary control of arm movement in athetotic patients. Journal of Neurology, Neurosurgery & Psychiatry,37, 162–170. doi:10.1136/jnnp.37.2.162
   PubMed Web of Science ®Google Scholar
• Neilson, P. D. (1974b). Measurement of involuntary arm movement in athetotic patients. Journal of Neurology, Neurosurgery, and Psychiatry,37, 171–177.
   PubMed Web of Science ®Google Scholar
• Niku, S., & Henderson, J. M. (1985). Toward quantification of athetotic movements by frequency spectrum analysis. Journal of Biomechanics,18(1), 71–76.
   PubMed Web of Science ®Google Scholar
• Olds, K. C., Sibenaller, S., Cooper, R. A., Ding, D., & Riviere, C. N. (2008). Modeling and filtering athetoid movement for assistive computer interfaces. In IEEE international conference on robotics and automation (pp. 123–128). Pasadena, CA.
   Google Scholar
• Penney, J. B., & Young, A. B. (1998). Huntington’s disease. In J. Jankovic & E. Tolosa (Eds.), Parkinson’s disease and movement disorders (3rd ed., pp. 341–355). Philadelphia, PA: Williams and Wilkins.
   Google Scholar
• Priebe, M. M., Sherwood, A. M., Thornby, J. I., Kharas, N. F., & Markowski, J. (1996). Clinical assessment of spasticity in spinal cord injury: A multidimensional problem. Archives of Physical Medicine and Rehabilitation,77(7), 713–716. doi:10.1016/S0003-9993(96)90014-3
   PubMed Web of Science ®Google Scholar
• Rodriguez, S. P., Ding, D., & Riviere, C. N. (2010). Algorithms for target prediction for computer users with athetosis. In IEEE EMBS conference (pp. 491–494). Buenos Aires, Argentina.
   Google Scholar
• Sibenaller, S. (2008). Investigation of unintentional movement people with cerebral palsy to improve computer target acquisition (Master’s Thesis). Pittsburgh, PA: University of Pittsburgh.
   Google Scholar
• Trewin, S., Keates, S., & Moffatt, K. (2006). Developing steady clicks: A method of cursor assistance for people with motor impairments. In Proceedings of the 8th international ACM SIGACCESS conference on computers and accessibility (Assets ‘06) (pp. 26–33). New York, NY: ACM.
   Google Scholar
• Trewin, S., & Pain, H. (1999). Keyboard and mouse errors due to motor disabilities. International Journal of Human-Computer Studies,50(2), 109–144.
   Web of Science ®Google Scholar
• Vázquez López, J. J., Sibenaller, S., Ding, D., & Riviere, C. N. (2007). Toward filtering of athetoid motion with neural networks. In IEEE EMBS Conference (pp. 1434–1436). Lyon, France.
   Google Scholar
• Wobbrock, J. O., & Gajos, K. Z. (2007). A comparison of area pointing and goal crossing for people with and without motor impairments. In International ACM SIGACCESS conference on computers and accessibility (pp. 3–10). Tempe, AZ.
   Google Scholar
• Worden, A., Walker, N., Bharat, K., & Hudson, S. E. (1997). Making computers easier for older adults to use: Area cursors and sticky icons. In Proceedings of the SIGCHI Conference on Human Factors in Computing System (CHI’97) (pp. 266–271), Atlanta, Georgia.
   Google Scholar