skip to main content
10.1145/1090785.1090791acmconferencesArticle/Chapter ViewAbstractPublication PagesassetsConference Proceedingsconference-collections
Article

An exploratory investigation of handheld computer interaction for older adults with visual impairments

Published:09 October 2005Publication History

ABSTRACT

This study explores factors affecting handheld computer interaction for older adults with Age-related Macular Degeneration (AMD). This is largely uncharted territory, as empirical investigations of human-computer interaction (HCI) concerning users with visual dysfunction and/or older adults have focused primarily on desktop computers. For this study, participants with AMD and visually-healthy controls used a handheld computer to search, select and manipulate familiar playing card icons under varied icon set sizes, inter-icon spacing and auditory feedback conditions. While all participants demonstrated a high rate of task completion, linear regression revealed several relationships between task efficiency and the interface, user characteristics and ocular factors. Two ocular measures, severity of AMD and contrast sensitivity, were found to be highly predictive of efficiency. The outcomes of this work reveal that users with visual impairments can effectively interact with GUIs on small displays in the presence of low-cost, easily implemented design interventions. This study presents a rich data set and is intended to inspire future work exploring the interactions of individuals with visual impairments with non-traditional information technology platforms, such as handheld computers.

Skip Supplemental Material Section

Supplemental Material

p12-leonard56k.mp4

mp4

24.5 MB

p12-leonard768k.mp4

mp4

134.2 MB

References

  1. Bressler, N.M., S.B. Bressler, S.K. West, et al., The grading and prevalence of macular degeneration in Chesapeake Bay waterman. Archives of Ophthalmology, 1988. 107(June): p. 847--852.Google ScholarGoogle Scholar
  2. Edwards, P.J., L. Barnard, V.K. Leonard, et al., Understanding users with Diabetic Retinopathy: Factors that affect performance in a menu selection task. Behaviour & Information Technology, 2005. 24(3): p. 175--186.Google ScholarGoogle Scholar
  3. Emery, V.K., J.A. Jacko, T. Kongnakorn, et al. Identifying critical interaction scenarios for innovative user modeling. in Proceedings of 10th International Conference on Human-Computer Interaction. 2001. New Orleans, LA, p. 481--485.Google ScholarGoogle Scholar
  4. Everett, S.P. and M.D. Byrne, Unintented effects: Varying icon spacing changes users' visual search strategy. CHI Letters, 2004. 6(1): p. 695--702. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Fraser, J. and C. Gutwin. A framework of assistive pointers for low vision users. in Proceedings of ACM Conference on Assistive Technologies. 2000. Arlington, VA, p. 9--16. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Hornof, A., Visual search and mouse-pointing in two-dimensional visual hierarchies. ACM Transactions on Computer-Human Interaction, 2001. 8(3): p. 171--197. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Jacko, J.A., A.B. Barreto, I.U. Scott, et al., Macular degeneration and visual icon use: Deriving guidelines for improved access. Universal Access and the Information Society, 2002. 1: p. 197--296.Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Jacko, J.A., K.P. Moloney, T. Kongnakorn, et al., Multimodal feedback as a solution to ocular disease-based user performance decrements in the absence of functional visual loss. International Journal of Human-Computer Interaction., 2005. 18(2): p. 183--218.Google ScholarGoogle Scholar
  9. Jacko, J.A., I.U. Scott, F. Sainfort, et al., Effects of multimodal feedback on the performance of older adults with normal and impaired vision, in Lecture notes in computer science, C.S. Noelle Carbonell, Editor. 2002, Springer, p. 3--22. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Quillen, D., Common causes of vision loss in elderly patients. American Family Physician, 1999. 60(1): p. 99--108.Google ScholarGoogle Scholar
  11. Sears, A., M. Lin, J. Jacko, et al., When Computers Fade.Pervasive Computing and Situationally-Induced Impairments and Disabilities, in Human-Computer Interaction: Theory and Practice (Part II), C. Stephanidis and J. Jacko, Editors. 2003, Lawrence Erlbaum Associates, p. 1298--1302.Google ScholarGoogle Scholar
  12. Tiffin, J. and E.J. Asher, The Purdue Pegboard: Norms and Studies of Reliability and Validity. Journal of Applied Psychology, 1948. 32: p. 234--247.Google ScholarGoogle Scholar
  13. Vitense, H.S., J.A. Jacko, and V.K. Emery, Foundation for improved interaction by individuals with visual impairments through multimodal feedback. Universal Access and the Information Society, 2002. 2002(2): p. 76--87.Google ScholarGoogle Scholar
  14. Ware, J.E., M. Kosinski, and S.D. Keller, How to Score the SF-12 Physical and Mental Health Summary Scales. 2nd ed. 1995, Boston, MA, USA: The Health Institute, New England Medical Center.Google ScholarGoogle Scholar

Index Terms

  1. An exploratory investigation of handheld computer interaction for older adults with visual impairments

          Recommendations

          Comments

          Login options

          Check if you have access through your login credentials or your institution to get full access on this article.

          Sign in
          • Published in

            cover image ACM Conferences
            Assets '05: Proceedings of the 7th international ACM SIGACCESS conference on Computers and accessibility
            October 2005
            232 pages
            ISBN:1595931597
            DOI:10.1145/1090785

            Copyright © 2005 ACM

            Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

            Publisher

            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 9 October 2005

            Permissions

            Request permissions about this article.

            Request Permissions

            Check for updates

            Qualifiers

            • Article

            Acceptance Rates

            Overall Acceptance Rate436of1,556submissions,28%

          PDF Format

          View or Download as a PDF file.

          PDF

          eReader

          View online with eReader.

          eReader