The Vocal Joystick: Evaluation of voice-based cursor control techniques for assistive technology

References

• Jacob R JK, Leggett J J, Myers B A, Pausch R. An agenda for human–computer interaction: science and engineering serving human needs. SIGCHI Bulletin 1991; 23(4)17–32
   Google Scholar
• Sears A, Young M. Physical disabilities and computing technologies: an analysis of impairments. The human–computer interaction handbook: Fundamentals, evolving technologies and emerging applications. Lawrence Erlbaum Associates, Inc., Hillsdale, NJ 2003; 482–503
   Google Scholar
• Bilmes J A, Li X, Malkin J, Kilanski K, Wright R, Kirchhoff K, Subramanya A, Harada S, Landay J A, Dowden P, Chizeck H (2005) The Vocal Joystick: A voice-based human–computer interface for individuals with motor impairments. Human Language Technology Conference/Conference on Empirical Methods in Natural Language Processing, Vancouver, BCCanada, October, 2005
   Google Scholar
• Malkin J, Li X, Bilmes J (2005) Energy and loudness for speed control in the Vocal Joystick. IEEE Automatic Speech Recognition and Understanding Workshop, CancunMexico, November, 2005
   Google Scholar
• Jacob R JK (1990) What you look at is what you get: eye movement-based interaction techniques. CHI '90: Proceedings of the SIGCHI conference on Human factors in computing systems, Seattle, WAUSA, 1990. ACM Press, New York, 11–18
   Google Scholar
• Igarashi T, Hughes J F (2001) Voice as sound: using non-verbal voice input for interactive control. UIST '01: Proceedings of the 14th annual ACM symposium on User interface software and technology, Orlando, FLUSA, 2001. ACM Press, New York, 155–156
   Google Scholar
• Sporka A J, Kurniawan S H, Slavík P. Acoustic control of mouse pointer. Universal Access in the Information Society. Springer-Verlag, Berlin, Heidelberg 2006; 4: 237–245
   Google Scholar
• Mihara Y, Shibayama E, Takahashi S (2005) The migratory cursor: accurate speech-based cursor movement by moving multiple ghost cursors using non-verbal vocalizations. Assets '05: Proceedings of the 7th international ACM SIGACCESS conference on Computers and accessibility, Baltimore, MDUSA, 2005. ACM Press, New York, 76–83
   Google Scholar
• Manaris B, McCauley R, MacGyvers V (2001) An intelligent interface for keyboard and mouse control – providing full access to PC functionality via speech. Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference, Menlo Park, CaliforniaUSA, 2001. AAAI Press, 182–188
   Google Scholar
• Kamel H M, Landay J A (2002) Sketching images eyes-free: a grid-based dynamic drawing tool for the blind. Assets '02: Proceedings of the fifth international ACM conference on Assistive technologies, Edinburgh, ScotlandUK, 2002. ACM Press, New York, 33–40
   Google Scholar
• Dai L, Goldman R, Sears A, Lozier J (2004) Speech-based cursor control: a study of grid-based solutions. Assets '04: Proceedings of the 6th international ACM SIGACCESS Conference on Computers and Accessibility, Atlanta, GAUSA, 2004. ACM Press, New York, 94–101
   Google Scholar
• de Mauro C, Gori M, Maggini M, Martinelli E. Easy access to graphical interfaces by voice mouse. Technical report, Università di Siena. 2001, Available from the author at: [email protected]
   Google Scholar
• Fitts P M. The information capacity of the human motor system in controlling the amplitude of movement. Journal of Experimental Psychology 1954; 47: 381–391
   PubMedGoogle Scholar
• Shannon C E, Weaver W. The mathematical theory of communication. Urbana University of Illinois Press, Urbana, IL 1949
   Google Scholar
• Mackenzie I S. Fitts' law as a research and design tool in human–computer interaction. Human–Computer Interaction 1992; 7: 91–139
   Google Scholar
• Cover T, Thomas J. Elements of Information Theory. Wiley, New York 1991
   Google Scholar
• Bohan M, Thompson S, Scarlett D, Chaparro A. Gain and target size effects on cursor-positioning time with a mouse. Proceedings of the Humarn Factors and Ergonomics Society 47th Annual Meeting. 2003; 737–740
   Google Scholar
• MacKenzie I S, Kauppinen T, Silfverberg M (2001) Accuracy measures for evaluating computer pointing devices. CHI '01: Proceedings of the SIGCHI conference on Human factors in computing systems, Seattle, WAUSA, 2001. ACM Press, New York, 9–16
   Google Scholar
• Miniotas D (2000) Application of Fitts' law to eye gaze interaction. CHI '00: CHI '00 extended abstracts on Human factors in computing systems, The HagueThe Netherlands, 2000. ACM Press, New York, 339–340
   Google Scholar
• Radwin R G, Vanderheiden G C, Lin M L. A method for evaluating head-controlled computer input devices using Fitts law. Hum Factors 1990; 32(4)423–438
   PubMed Web of Science ®Google Scholar
• Card S K, English W K, Burr B J. Evaluation of mouse, rate-controlled isometric joystick, step keys, and text keys, for text selection on a CRT. Human–computer interaction: a multidisciplinary approach. San Francisco, California, USA. Morgan Kaufmann Publishers Inc. 1987; 386–392
   Google Scholar
• Epps B (1986) Comparison of six cursor control devices based on Fitts' law models. Proceedings of the 30th Annual Meeting of the Human Factors Society, Santa Monica, CA, 1986. Human Factors Society, 327–331
   Google Scholar
• Hornof A J, Cavender A (2005) EyeDraw: enabling children with severe motor impairments to draw with their eyes. CHI '05: Proceedings of the SIGCHI conference on Human factors in computing systems, Portland, ORUSA, 2005. ACM Press, New York, 161–170
   Google Scholar