User Models and User Physical Capability

  • Simeon Keates
  • Patrick Langdon
  • P. John Clarkson
  • Peter Robinson

Abstract

Current interface design practices are based on user models and descriptions derived almost exclusively from studies of able-bodied users (Keates et al., 1999). However, such users are only one point on a wide and varied scale of physical capabilities.

Users with a number of different physical impairment conditions have the same desire to use computers as able-bodied people (Busby, 1997), but cannot cope with most current computer access systems (Edwards, 1995).

It is important to identify the differences in interaction for users of differing physical capability, because the border between the labels ‘able-bodied’ and ‘motion-impaired’ users is becoming increasingly blurred as the generation of computer users inexorably becomes older and physically less capable. If user models are to retain their relevance, then they have to be able to reflect users' physical capabilities (Stary, 1997).

Through empirical studies, this paper will show that there are very important differences between those with motion-impairments, whether elderly or disabled, and able-bodied users when they interact with computers. It attempts to quantify where those differences occur in the interaction cycle with the use of a very straightforward user model, the Model Human Processor (MHP) (Card, Moran and Newell, 1983), which describes interaction purely in terms of perception, cognition and motor component times. Although this model is simplistic compared to the more recent sophisticated models, it affords a simple and valuable insight into interaction cycles and offers a building block on which to base more comprehensive models. This work is predicated on the idea that the use of this model in detailed analysis of the basic interaction cycle will provide a means for studying motion impairment at both an individual and general level.

model human processor motion-impaired users 

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References

  1. Americans with Disabilities Act of 1990, US Public Law 101–336, 1990.Google Scholar
  2. Barnard, P.: 1987, Cognitive resources and the learning of human–computer dialogues. In: Interfacing Thought: Cognitive Aspects of Human–Computer Interaction, J. M. Carroll (ed.), MIT Press, MA, pp. 112–158.Google Scholar
  3. Blessing, L. T. M., Chakrabarti, A. and Wallace, K. M.: 1995, A design research methodology. In: Proceedings of ICED '95, Prague, Czech Republic, pp. 502–507.Google Scholar
  4. Bowe, F. G.: 2000, Universal Design in Education, Bergin and Gavey.Google Scholar
  5. Buhler, C.: 1998, Robotics for Rehabilitation – A European (?) Perspective. Robotica 16(5), 487–490.Google Scholar
  6. Busby, G.: 1997, Technology for the disabled and why it matters to you, IEE Colloquium Digest Computers in the service of mankind: Helping the disabled, Digest No. 97/117, pp. 1/1–1/7.Google Scholar
  7. Card, S. K., Moran, T. P. and Newell, A.: 1983, The Psychology of Human–Computer Interaction. Lawrence Erlbaum Associates, Hillsdale, New Jersey.Google Scholar
  8. Chin, D. N.: 2001, Empirical Evaluation of User Models and User-Adapted Systems. User modeling and User-Adapted Interaction, 11(1/2), 181–194Google Scholar
  9. Cohen, J.: 1988, Statistical Power Analysis for the Social Sciences. 2nd Edn. Hillsdale, Erlbaum.Google Scholar
  10. Coleman, R.: 1993, A demographic overview of the ageing of First World populations. Applied Ergonomics 24(1), 5–8.Google Scholar
  11. Dept. for Education and Employment (DfEE): 1996, The Disability Discrimination Act. UK.Google Scholar
  12. Dowland, R., Clarkson, P. J. and Cipolla, R.: 1998, A prototyping strategy for use in interactive robotic system development. Robotica 16, 517–521.Google Scholar
  13. Edwards, A. D. N.: 1995, Computers and people with disabilities. In: Extra-ordinary Human–Computer Interaction, A. D. N. Edwards (ed.), Cambridge University Press, Cambridge, pp. 19–44.Google Scholar
  14. Horstmann, H. M.: 1990, Quantitative modeling in augmentative communication – a case study. In: Proceedings of RESNA '90, Washington, DC, ResnaPress, Washington, pp. 9–10.Google Scholar
  15. Horstmann, H. M. and Levine, S. P.: 1991, The effectiveness of word prediction. In: Proceedings of RESNA '91, Kansas City, Missouri, ResnaPress, Washington, pp. 100–102.Google Scholar
  16. John B. E. and Kieras D. E.: 1996, The GOMS family of user interface analysis techniques: Comparison and Contrast. ACM Trans. Computer–Human Interaction 3(4), 320–351.Google Scholar
  17. Keates, S., Clarkson, P. J. and Robinson, P.: 1999, A design approach for accessibility. Human–Computer Interaction, Vol. 2, Bullinger and Ziegler (eds.), Lawrence Erlbaum Associates, pp. 878–882.Google Scholar
  18. Keates, S., Clarkson P. J. and Robinson, P.: 1998, Developing a methodology for the design of accessible interfaces, In: Proceedings of the 4th ERCIM Workshop, Stockholm, Sweden, pp. 1–15.Google Scholar
  19. Keates, S., Clarkson, P. J., Harrison, L. J. and Robinson, P.: 2000, Towards a practical inclusive design approach. In: Proceedings of the 1st ACM Conference on Universal Usability Arlington, VA, pp. 45–52.Google Scholar
  20. Kirk, R. E.: 1995, Experimental Design: Procedures for the Social Sciences. 3rd Edn. Brookes/Cole.Google Scholar
  21. Kirkwood, T.: 1999, Time of Our Lives, Weidenfield and Nicholson, London.Google Scholar
  22. Kirsch, N. L., Levine, S. P. and Horstmann, H. M.: 1992, The effects of cognitive impairment on performance with assistive technologies. In: Proceedings of RESNA '92, Toronto, Canada, ResnaPress, Washington, pp. 165–167.Google Scholar
  23. Mahoney, R.: 1997, Robotic products for rehabilitation: Status and strategy. In: Proceedings of ICORR '97, Bath, UK, pp. 12–22.Google Scholar
  24. Newell, A. F, Arnott, J. L. and Waller, A.: 1992, On the validity of user modelling in AAC: comments on Horstmann and Levine. In: Augmentative and Alternative Communication, Decker Periodicals Inc, 8, 89–92.Google Scholar
  25. Newell, A. F.: 1995, Extra-ordinary human–computer interaction. In: Extra-ordinary Human–Computer Interaction, A. D. N. Edwards (ed.), Cambridge University Press, Cambridge, England, pp. 3–18.Google Scholar
  26. Newman, W. M. and Lamming, M. G.: 1995, Interactive System Design, Addison Wesley, Wokingham, England.Google Scholar
  27. Nielsen, J.: 1994, Usability Inspection Methods, John Wiley and Sons.Google Scholar
  28. Rosenbaum, D. A.: 1991, Human Motor Control, Academic Press.Google Scholar
  29. Stary, C.: 1997, The role of design and evaluation principles for user interfaces for all. In: Proceedings of HCI Int'l '97, San Francisco, USA, pp. 477–480.Google Scholar
  30. Stephanidis, C.: 1997, Towards the next generation of UIST: Developing for all users. In: Proceedings of HCI Int'l '97, San Francisco, USA, pp. 473–476.Google Scholar
  31. Stephanidis, C.: 1999, Designing for all in the Information Society: Challenges towards universal access in the information age. ERCIM ICST Research Report, pp. 21–24.Google Scholar
  32. Stephanidis, C.: 2001, User interfaces for all: New perspectives into human-computer interaction. In: User Interfaces for All, C. Stephanidis (ed) Lawrence Erlbaum, pp. 3–17.Google Scholar
  33. Young, R. M., Green, T. R. G. and Simon, T.: 1989, Programmable user models for predictive evaluation of interface designs. In: Human Factors in Computing Systems, CHI89Wings for the Mind, K. Bice and C. Lewis (eds.), Addison Wesley, Reading MA.Google Scholar

Copyright information

© Kluwer Academic Publishers 2002

Authors and Affiliations

  • Simeon Keates
    • 1
  • Patrick Langdon
    • 1
  • P. John Clarkson
    • 1
  • Peter Robinson
    • 2
  1. 1.Engineering Design CentreUniversity of CambridgeCambridgeUK
  2. 2.Computer LaboratoryUniversity of CambridgeCambridgeUK

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