Modeling the Speed of Text Entry with a Word Prediction Interface

IEEE Transactions on Rehabilitation Engineering

Volumn 2, Issue 3, 1994, Pages 177-187

  Koester, Heidi Horstmann ^a   Levine, Simon P ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COGNITIVE SYSTEMS; COMPUTER KEYBOARD SUBSTITUTES (HANDICAPPED AID); COMPUTER SIMULATION; PREDICTIVE CONTROL SYSTEMS; USER INTERFACES;

AUGMENTATIVE AND ALTERNATIVE COMMUNICATION SYSTEMS; TEXT ENTRY TASKS; WORD PREDICTION;

HUMAN REHABILITATION ENGINEERING;

EID: 0028509027     PISSN: 10636528     EISSN: None     Source Type: Journal    
DOI: 10.1109/86.331567     Document Type: Article

References (31)

1. G. C. Vanderheiden and D. P. Kelso, “Comparative analysis of fixed-vocabulary communication acceleration techniques,” Augmentative Alternative Commun., vol. 3, no. 4, pp. 196–206, 1987.
2. G. Stum and P. Demasco, “Flexible abbreviation expansion,” Proc. RESNA Int., 1992, pp. 371–373.
3. B. Baker, “Semantic compaction for subsentence vocabulary units compared to other encoding and prediction systems,” Proc. RESNA Conf., 1987, pp. 118–120.
4. J. Light, P. Lindsay, L. Siegel, and P. Parnes, “The effects of message encoding techniques on recall by literate adults using AAC systems,” Augmentative Alternative Commun., vol. 6, no. 3, pp. 184–202, 1990.
5. J. Scull and L. Hill, “A computerized communication message preparation program that ‘learns’ the user's vocabulary,” Augmentative Alternative Commun., vol. 4, no. 1, pp. 40–44, 1988.
6. A. L. Swiffin, J. L. Amott, and A. F. Newell, “Adaptive and predictive techniques in a communication prosthesis,” Augmentative Alternative Commun., vol. 3, no. 4, pp. 181–191, 1987.
7. M. Soede and R. A. Foulds, “Dilemma of prediction in communication aids,” Proc. 9th RESNA Conf., 1986, pp. 357–359.
8. S. P. Levine, H. M. Horstmann, and N. L. Kirsch, “Performance considerations for people with cognitive impairment in accessing assistive technologies,” J. Head Trauma Rehab., vol. 7, no. 3, pp. 46–58, 1992.
9. H. Horstmann Koester and S. P. Levine, “A model of performance cost versus benefit for augmentative communication systems,” in Proc. 15th 1EEE-EMBS Conf., 1993, pp. 1303–1304.
10. D. J. Higginbotham, “Evaluation of keystroke savings across five assistive communication technologies,” Augmentative Alternative Commun., vol. 8, no. 4, pp. 258–272, 1992.
11. A. F. Newell, L. Booth, and W. Beattie, “Predictive text entry with PAL and children with learning difficulties,” Brit. J. Educ. Technol., vol. 22, no. 1, pp. 23–40, 1991.
12. A. F. Newell, J. L. Amott, and A. Waller, “On the validity of user-modeling in AAC: Comments on Horstmann and Levine,” Augmentative Alternative Commun., vol. 8, pp. 89–92, 1992.
13. C. D. Gibler and D. S. Childress, “Language anticipation with a computer-based scanning aid,” Proc. IEEE Computer Society Workshop on Computing to Aid the Handicapped, 1982, pp. 11–16.
14. H. M. Horstmann and S. P. Levine, “The effectiveness of word prediction,” Proc. 14th RESNA Conf., 1991, pp. 100–102.
15. S. Card, T. Moran, and A. Newell, The Psychology of Human-Computer Interaction. Hillsdale, NJ: Erlbaum Assoc., 1983.
16. J. S. Olson and E. Nilsen, “Analysis of the cognition involved in spreadsheet software interaction,” Human-Computer Interaction, vol. 3, no. 4, pp. 309–350, 1988.
17. H. Horstmann Koester and S. P. Levine, “Learning and performance of able-bodied individuals using scanning systems with and without word prediction,” Assistive Technol., vol. 6, pp. 42–53, 1994.
18. H. S. Venkatagiri, “Efficiency of lexical prediction as a communication acceleration technique,” Augmentative Alternative Commun., vol. 9, no. 3, pp. 161–167, 1993.
19. H. M. Horstmann and S. P. Levine, “Modeling of user performance with computer access and augmentative communication systems for handicapped people,” Augmentative and Alternative Communication, vol. 6, no. 4, pp. 231–241, 1990.
20. M. Rosen and C. Goodenough-Trepagnier, “The Tufts-MIT prescription guide: assessment of users to predict the suitability of augmentative communication devices,” Assistive Technol., vol. 1, no. 3, pp. 51–61, 1989.
21. H. H. Dabbagh and R. I. Damper, “Average selection length and time as predictors of communication rate,” Proc. 8th RESNA Conf., 1985, pp. 404–406.
22. R. I. Damper, “Text composition by the physically disabled: A rate prediction model for scanning input,” Applied Ergnonomics, vol. 15, no. 4, pp. 289–296, 1984.
23. G. Vanderheiden, “A unified quantitative modeling approach for selection-based augmentative communication systems,” in L. Bernstein, Ed., The Vocally Impaired: Clinical Practice and Research, Philadelphia, PA: Grune and Stratton, 1988.
24. J. S. Olson and G. M. Olson, “The growth of cognitive modeling in human-computer interaction since GOMS,” Human-Computer Interaction, vol. 5, pp. 221–265, 1990.
25. H. M. Horstmann and S. P. Levine, “Modeling AAC user performance: Response to Newell, Amott, and Waller,” Augmentative Alternative Commun., vol. 8, pp. 92–97, 1992.
26. D. D. Lessenberry, College Typewriting. Cincinnati: Southwestern., 1975.
27. L. V. McReynolds and K. P. Kearns, Single-subject Experimental Designs in Communicative Disorders. Baltimore: University Park Press, 1983.
28. E. R. Girden, ANOVA: Repeated Measures. Newbury Park, CA: Sage, 1992.
29. M. K. Singley and J. R. Anderson, “A keystroke analysis of learning and transfer in text editing,” Human-Computer Interaction, vol. 3, pp. 223–274, 1988.
30. W. Schneider and A. D. Fisk, “Degree of consistent training: Improvements in search performance and automatic process development,” Perception Psychophysics, vol. 31, no. 2, pp. 160–168, 1982.
31. C. W. Heckathome, J. A. Voda, and L. J. Leibowitz, “Design rationale and evaluation of the portable anticipatory communication aid—PACA,” Augmentative and Alternative Commun., vol. 3, no. 4, pp. 170–180, 1987.