MODEL-BASED DESIGN OF SCANNING INPUT COMMUNICATION AIDS: STATE OF THE ART AND RESEARCH ISSUES

S. Bhattacharya, D. Samanta, and A. Basu

References

  1. [1] R.D. Beukelman & P. Mirenda, Augmentative and alternative communication, Second Edition (Baltimore, MD: Brookes Publishing, 1998).
  2. [2] A.M. Cook & S.M. Hussey, Assistive technologies: Principles and practice, Second Edition (Mosby-Year Book, 2001).
  3. [3] S. Worah, My stamp book (Kolkata, India: Indian Institute of Cerebral Palsy), 2001.
  4. [4] J.L. Arnott, Text entry in augmentative and alternative communication, Proceedings of Efficient Text Entry, 2005.
  5. [5] G.W. Lesher, B.J. Moulton, & D.J. Higginbotham, Optimal character arrangements for ambiguous keyboards, IEEE Transactions on Rehabilitation Engineering, 6, 1998, 415–423.
  6. [6] H.S. Venkatagiri, Efficient keyboard layouts for sequential access in augmentative and alternative communication, Augmentative and Alternative Communication, 15, 1999, 126–134.
  7. [7] D. Harris & G.C. Vanderheiden, Augmentative communication techniques (Baltimore: University Park Press, 1980).
  8. [8] F.G.-Eisler, Cycle linguistics: Experiments in spontaneous speech (New York: Academic Press, 1986).
  9. [9] A. Copestake, Augmented and alternative NLP techniques for augmentative and alternative communication, Proc. of the ACL workshop on Natural Language Processing for Communication Aids, Madrid, 1997, 37–42.
  10. [10] A.S. Johansen & J.P. Hansen, Augmentative and alternative communication: The future of text on the move, Proc. of the Seventh ERCIM Workshop on User Interface for All, Paris, France, 2002, 367–386.
  11. [11] J.P. Hansen, K. Torning, A.S. Johansen, K. Itoh, & H. Aoki, Gaze typing compared with input by head and hand, Proc. of the 2004 Symposium on Eye tracking Research and Applications, San Antonio, Texas, USA, 2004, 131–138.
  12. [12] H.O. Instance, C. Spinner, & P.A. Howarth, Providing motor impaired users with access to standard graphical user interface (GUI) software via eye-based interaction, Procc. of 1st European Conference on Disability, Virtual Reality and Associated Technology, UK, 1996.
  13. [13] G.C. Vanderheiden, Overview of the basic selection techniques for augmentative communications: Past and future, in L.F. Bernstein (Ed.), The vocally impaired: Clinical practice and research (Philadelphia: Grine and Stratton, 1988), 5–39.
  14. [14] G.W. Lesher, B.J. Moulton, & D.J. Higginbotham, Techniques for augmenting scanning communication, Augmentative and Alternative Communication, 14, 1998, 81–101.
  15. [15] A. Fazly, The use of syntax in word completion utilities, Master’s Thesis, Graduate Department of Computer Science, University of Toronto, 2002, Unpublished Master of Science Thesis.
  16. [16] G.W. Lesher & B.J. Moulton, An introduction to the theoretical limits of abbreviation expansion performance, Proc. of the RESNA 2005 Annual Conference, 2005.
  17. [17] K. Harbusch & M. Kuhn, An evaluation study of two-button scanning with ambiguous keyboards, in G.M. Craddock (Ed.) Assistive technology-Shaping the future (AAATE03), Dublin, 2003.
  18. [18] J.O. Wobbrock & B.A. Myers, Trackball text entry for people with motor impairments, CHI Proc. on Human Factors in Computing Systems, Quebec, Canada, 2006, 479–488.
  19. [19] D.J. Ward & D.J. Mackay, Fast hands-free writing by gaze direction, Nature, 418(6900), 2002, 838.
  20. [20] K.F. McCoy, C.A. Pennington, & A.L. Badman, Compansion: From research prototype to practical integration, Natural Language Engineering, 4(1): 1998, 73–95.
  21. [21] P. Demasco & K.F. McCoy, Generating text from compressed input: An intelligent interface for people with severe motor impairments, Communications of the ACM, 35(5), 1992, 68–79.
  22. [22] R. Dye, N. Alm, J.L. Arnott, G. Harper, & A. Morrison, A script-based AAC system for transactional interaction, Natural Language Engineering, 4(1), 1998, 57–71.
  23. [23] T. Carpenter, K. McCoy, & C. Pennington, Schema-based organization of re-usable text in AAC: User-interface considerations, Proc. RESNA ’97 Annual Conference, Pittsburgh, PA, USA, 1997, 57–59.
  24. [24] D.J. Higginbotham, D.P. Wilkins, & G.W. Lesher, Frametalker: A communication frame and utterance-based augmentative communication device, Proc. RESNA 99 Annual Conference, Long Beach, CA, USA, 1999, 40–42.
  25. [25] J. Todman, Rate and quality of conversations using a text-storage AAC system: Single-case training study, Augmentative and Alternative Communication, 16(3), 2000, 164–179.
  26. [26] J. Todman, The use of stored text for socially effective conversation, Proc. RESNA Annual Conference, Long Beach, CA, USA, 1999, 16–18.
  27. [27] A. Sears, Layout appropriateness: A metric for evaluating user interface widget layout, IEEE Transactions on Software Engineering, 19(7), 1993, 707–719.
  28. [28] C.E. Steriadis & P. Constantinou, Designing human-computer interfaces for quadriplegic people, ACM Transactions on Computer-Human Interaction, 10, 2003, 87–118.
  29. [29] M.J. Rosen & C. Goodenough-Trepagnier, Factors affecting communication rate in non-vocal communication systems, Proc. 4th Annual Conference on Rehabilitation Engineering, 1981, 194–196.
  30. [30] W. Soukoreff & I.S. MacKenzie, Theoretical upper and lower bounds on typing speed using a stylus and soft keyboard, Behaviour and Information Technology, 14, 1995, 370–379.
  31. [31] I.S. MacKenzie & R.W. Soukoreff, Text entry for mobile computing: Models and methods, theory and practice, Human-Computer Interaction, 17, 2002, 147–198.
  32. [32] I.S. MacKenzie, S.X. Zhang, & R.W. Soukoreff, Text entry using soft keyboards. Behavior and Information Technology, 18, 1999, 235–244.
  33. [33] S. Zhai, M. Hunter, & B.A. Smith, Performance optimization of virtual keyboards. Human-Computer Interaction, 17, 2002, 89–129.
  34. [34] S.K. Card, T.P. Moran, & A. Newell, The keystroke-level model for user performance time with interactive systems, Communication of ACM, 23(7), 1980, 396–410.
  35. [35] S.K. Card, T.P. Moran, & A. Newell, The psychology of human-computer interaction (Hillsdale, NJ: Lawrence Erlbaum Associates, 1983).
  36. [36] B.E. John & D.E. Kieras, Using GOMS for user interface design and evaluation: Which technique? ACM Transactions on Computer-Human Interaction, 3(4), 1996, 287–319.
  37. [37] B.E. John & D.E. Kieras, The GOMS family of user interface analysis techniques: Comparison and contrast, ACM Transactions on Computer-Human Interaction, 3(4), 1996, 320–351.
  38. [38] H.M. Horstmann & S.P. Levine, Modeling of user performance with computer access and augmentative communication systems for handicapped people, Augmentative and Alternative Communication, 6, 1990, 231–241.
  39. [39] H.H. Koester & S.P. Levine, Modeling the speed of text entry with a word prediction interface, IEEE Transactions on Rehabilitation Engineering, 2, 1994, 177–187.
  40. [40] H.H. Koester & S.P. Levine, Keystroke level models for user performance with word prediction, Augmentative and Alternative Communication, 13, 1997, 239–257.
  41. [41] H.H. Koester & S.P. Levine, Model simulation of user performance with word prediction, Augmentative and Alternative Communication, 14, 1998, 25–36.
  42. [42] S.H. Levine & C. Goodenough-Trepagnier, Customised text entry devices for motor-impaired users, Applied Ergonomics, 21, 1990, 55–62.
  43. [43] R.I. Damper, Text composition by the physically disabled: A rate prediction model for scanning input, Applied Ergnonomics, 15, 1984, 289–296.
  44. [44] W.E. Hick, On the rate of gain of information, Quarterly Journal of Experimental Psychology, 4, 1952, 11–36.
  45. [45] R. Hyman, Stimulus information as a determinant of reaction time, Journal of Experimental Psychology, 45, 1953, 188–196.
  46. [46] P.M. Fitts, The information capacity of the human motor system in controlling the amplitude of movement, Journal of Experimental Psychology, 47, 1954, 381–391.
  47. [47] P.M. Fitts, Information capacity of discrete motor responses, Journal of Experimental Psychology, 67, 1964, 103–112.
  48. [48] I.S. MacKenzie, Fitts law as a research and design tool in human computer interaction, Human-Computer Interaction, 7, 1992, 91–139.
  49. [49] M. Hunter, S. Zhai, & B.A. Smith, Physics-based graphical keyboard design, in CHI’2000 Proceedings, The Hague, The Netherlands, 2000, 157-158.
  50. [50] S. Zhai, M. Hunter, & B.A. Smith, The metropolis keyboard — An exploration of quantitative techniques for virtual keyboard design, Proc. of the 13th Annual ACM Symposium on User Interface Software and Technology (UIST 2000), San Diego, California, 2000, 119–128.
  51. [51] M. Raynal & N. Vigouroux, Genetic algorithm to generate optimized soft keyboard, Proc. of CHI’2005, Oregon, USA, 2005, 1729–1732.
  52. [52] I.S. MacKenzie & S.X. Zhang, The design and evaluation of a high performance soft keyboard, Proc. of CHI99, Pittsburg, Pensylvania, USA, 1999, 25–31.
  53. [53] S. Keates, P.J. Clarkson, & P. Robinson, Investigating the applicability of user models for motion-impaired users, ACM ASSETS 2000 Proceedings, Arlington, VA, 2000, 129–136.
  54. [54] A. Sears, J.A. Jacko, J.C. Chung, & F. Moro, The role of visual search in the design of effective soft keyboards, Behaviour and Information Technology, 20, 2001, 159–166.
  55. [55] J. Reason, Human error (New York: Cambridge University Press, 1990).
  56. [56] W.D. Gray, The nature and processing of errors in interactive behavior, Cognitive Science, 24(2), 2000, 205–248.
  57. [57] K. Leiden, K.R. Laughery, J.W. Keller, J.W. French, W. Warwick, & S.D. Wood, A review of human performance models for the prediction of human errors, Technical Report, Ames Research Centre, Moffett Field, CA, USA, 2001, A report prepared for NASA System Wide Accident Prevention Program.
  58. [58] S. Trewin & H. Pain, Keyboard and mouse errors due to motor disabilities, International Journal of Human-Computer Studies, 50(2), 1999, 109–144.

Important Links:

Go Back