Isolating the effects of visual impairment: Exploring the effect of AMD on the utility of multimodal feedback

Conference on Human Factors in Computing Systems - Proceedings

Volumn , Issue , 2004, Pages 311-318

  Jacko, Julie A ^a   Barnard, Leon ^a   Kongnakorn, Thitima ^a   Moloney, Kevin P ^a   Edwards, Paula J ^a   Emery, V Kathlene ^a   Sainfort, François ^a  

^a Georgia Institute of Technology   (United States)

Author keywords

Age related macular degeneration (AMD); Multimodal feedback; Multimodality; Universal access; Visual feedback; Visual impairment; Visually impaired users

Indexed keywords

COMPUTER AIDED ANALYSIS; DISEASE CONTROL; HAPTIC INTERFACES; HEALTH RISKS; INFORMATION TECHNOLOGY; PERSONAL COMPUTERS;

AGE-RELATED MACULAR DEGENERATION (AMD); MULTIMODAL FEEDBACK; MULTIMODALITY; UNIVERSAL ACCESS; VISUAL FEEDBACK; VISUAL IMPAIRMENT; VISUALLY IMPAIRED USERS;

GRAPHICAL USER INTERFACES;

EID: 4544386009     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (35)

1. Akamatsu, M. and Mackenzie, S.I. Movement characteristics using a mouse with tactile and force feedback. International Journal of Human-Computer Studies, 45. 483-493.
2. American Macular Degeneration Foundation. What is macular degeneration?, 2002.
3. American Medical Association. The Visual System. in Guides to the Evaluation of Permanent Impairment, American Medical Association, Chicago, IL, 1994, 209-222.
4. Belz, S.M. and Robinson, G.M. A new class of auditory warning signals for complex systems: Auditory Icons. Human Factors, 41 (4). 608-618.
5. Brewster, S.A., Sonically-enhanced drag and drop. in International Conference on Auditory Display, (Glasgow, UK, 1998), 1-7.
6. Brewster, S.A. and Crease, M.G. Correcting menu usability problems with sound. Behavior and Information Technology, 18 (3). 165-177.
7. Brewster, S.A., Wright, P.C. and Edwards, A.D.N., The design and evaluation of an auditory-enhanced scrollbar. in ACM Conference on Human Factors in Computing Systems (CHI), (Boston, MA, 1994), 173-179.
8. Cooke, J.D., Brown, S.H. and Cunningham, D. A. Kinematics of arm movements in elderly humans. Neurobiology of Aging, 10. 159-165.
9. Farnsworth, D. The Farnsworth Dichotomous Test for Color Blindness: Manual. The Psychological Corporation, New York, NY, 1947.
10. Farrell, F.E. Fitting physical screen parameters to the human eye. in Roufs, J.A.J. ed. Vision and visual dysfunction: The man-machine interface, CRC, Boca Raton, FL, 1991.
11. Fraser, J. and Gutwin, C., A framework of assistive pointers for low vision users, in Fourth Annual International ACM/SIGCAPH Conference on Assistive Technologies (ASSETS 2000), (Arlington, VA, 2000), 9-16.
12. Gaver, W. The SonicFinder: An interface that uses auditory icons. Human Computer Interaction, 4 (1). 67-94.
13. Hedge, A. Human Information Processing (Course Lecture), 1999.
14. Inkpen, K.M. Drag-and-drop versus point-and-click mouse interaction styles for children. ACM Transactions on Computer-Human Interactions, 8(1). 1-33.
15. Jacko, J.A., Barreto, A.B., Marmet, G.J., Chu, J.Y.M., Bautsch, H.S., Scott, I.U. and Rosa, R.H., Jr., Low vision: The role of visual acuity in the efficiency of cursor movement, in Fourth International ACM Conference on Assistive Technologies (ASSETS 2000), (2000), ACM, 1-8.
16. Jacko, J.A., Rosa, R.H., Jr., Scott, I.U., Pappas, C.J. and Dixon, M.A. Visual impairment: The use of visual profiles in evaluations of icon use in computer-based tasks. International Journal of Human-Computer Interaction, 12(1). 151-164.
17. Jacko, J.A., Scott, I.U., Barreto, A.B., Bautsch, H.S., Chu, J.Y.M. and Fain, W.B., Iconic visual search strategies: A comparison of computer users with AMD versus computer users with normal vision, in 9th International Conference on Human-Computer Interaction, (New Orleans, LA, 2001), ACM, 423-427.
18. Jacko, J.A., Scott, I.U., Sainfort, F., Barnard, L., Edwards, P.J., Emery, V.K., Kongnakorn, T., Moloney, K.P. and Zorich, B.S., Older adults and visual impairment: What do exposure times and accuracy tell us about performance gains associated with multimodal feedback? in ACM Conference on Human Factors in Computing Systems (CHI 2003), (Ft. Lauderdale, FL, 2003), 33-40.
19. Jacko, J.A. and Sears, A., Designing interfaces for an overlooked user group: Considering the visual profiles of partially sighted users. in ASSETS '98: The Third International ACM Conference on Assistive Technologies, (1998), ACM.
20. Jacko, J.A. and Vitense, H.S. A review and reappraisal of information technologies within a conceptual framework for individuals with disabilities. Universal Access in the Information Society (UAIS), 1. 56-76.
21. Klatzky, R.L., Lederman, S.J. and Matula, D.E. Haptic exploration in the presence of vision. Journal of Experimental Psychology: Human Perception and Performance, 19 (4). 726-743.
22. Lundberg, L., Johannesson, M., Isacson, D. and Borquist, L. The relationship between health-state utilities and the SF-12 in a general population. Medical Decision Making, 19(2). 128-140.
23. Mackenzie, I.S., Sellen, A. and Buxton, W.A.S., A comparison of input devices in elemental pointing and dragging tasks, in ACM Conference on Human Factors in Computing Systems: Reaching through Technology (CHI '91), (New Orleans, LA, 1991), 161-166.
24. McGee, M.R., Gray, P. and Brewster, S.A. The effective combination of haptic and auditory textural information, in Brewster, S.A. and Murray-Smith, R. eds. Haptic Human-Computer Interaction, Springer LNCS, 2001, 118-126.
25. Mead, S.E., Batsakes, P., Fisk, A.D. and Mykityshyn, A. Application of cognitive theory to training and design solutions for age-related computer use. International Journal of Behavioral Development, 23. 553-573.
26. Oakley, I., Brewster, S.A. and Gray, P.D., Solving multi-target haptic problems in menu interaction, in CHI '01 Extended Abstracts on Human Factors in Computing Systems, (Seattle, Washington, 2001), ACM, 357-358.
27. Pelli, D.G., Robson, J.G. and Wilkins, A.J. The design of a new letter chart for measuring contrast sensitivity. Clinical Visual Science, 2. 187-199.
28. Scott, I.U., Feuer, W.J. and Jacko, J.A. Impact of visual function on computer task accuracy and reaction time in a cohort of patients with age-related macular degeneration. American Journal of Ophthalmology, 133 (3). 350-357.
29. Seilen, A.J., Kurtenbach, G.P. and Buxton, W.A.S. The prevention of mode errors through sensory feedback. Human Computer Interaction, 7. 141-164.
30. Smith, M.W., Sharit, J. and Czaja, S.J. Aging, Motor Control, and the Performance of Computer Mouse Tasks. Human Factors, 41 (3). 389-396.
31. The Center for Macular Degeneration (UCSB). Biology of AMD, 2002.
32. Tiffin, J. and Asher, E.J. The Purdue Pegboard: Norms and studies of reliability and validity. Journal of Applied Psychology, 32. 234-247.
33. Vitense, H.S., Jacko, J.A. and Emery, V.K. Multimodal feedback: An assessment of performance and mental workload. Ergonomics, 46 (1-3). 58-87.
34. Ware, J.E., Kosinski, M. and Keller, S.D. How to Score the SF-12 Physical and Mental Health Summary Scales. The Health Institute, New England Medical Center, Boston, MA.
35. Wickens, C.D. Engineering Psychology and Human Performance. HarperCollins, New York, NY, 1992.