Advertisement

Skill Specific Spoken Dialogues Based Personalized ATM Design to Maximize Effective Interaction for Visually Impaired Persona

  • Muhammad Shafiq
  • Jin-Ghoo Choi
  • Muddesar Iqbal
  • Muhammad Faheem
  • Maqbool Ahmad
  • Imran Ashraf
  • Azeem Irshad
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8520)

Abstract

Making machines for visually impaired persons is very challenging because they do not receive any useful information through SIGHT. The perception of background activities can be a good supportive mechanism for visually impaired users. In this work we focus on ATMs and propose a new ATM design, i.e., skill specific spoken dialogues based ATM (3s ATM). The personalized ATM design fulfills the requirements of visually impaired people while provisioning services for normal users also. Our proposed ATM is designed to assimilate into conventional ATMs and enable the effective interaction of visually impaired users with the machine. We first analyze the conventional ATM system through heuristics index to simulate its standardized design. For peer evaluation, visually impaired participants carry out the task analysis for simulated systems, i.e., both conventional ATM and 3s ATM. We found that 3s ATM design achieves 47% higher learnablility and 76% better usability than conventional ATMs. Thus we can achieve the machine compliance by overlooking the barriers and needs of the visually impaired persons in design stage.

Keywords

Usability task evaluation heuristics index HCI 3s ATM 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Nielsen, J.: Heuristics evaluation. In: Nielsen, J., Mack, R.L. (eds.) Usability Inspection Methods, pp. 25–62. Wiley, New York (1994)Google Scholar
  2. 2.
    Gudivada, V., Raghavan, V.: Content based image retrieval systems. In: IEEE Computer (1995)Google Scholar
  3. 3.
    Schwerdtfeger, R.S.: Making the gui talk. IBM, ftp://service.boulder.ibm.com/sns/sr-os2/sr2doc/guitalk.txt (1991)
  4. 4.
    Treu, S.: User interface evaluation: A structured approach. Plenum, New York (1994)CrossRefGoogle Scholar
  5. 5.
    Rogers, W.A., Fisk, A.D.: ATM Design and Training issues. Ergonomics in Design 5, 4–9 (1997)CrossRefGoogle Scholar
  6. 6.
    Dix, A., Finlay, J., Abowd, G., Beale, R.: Human-computer interaction. Prentice Hall, Upper SaddleRiver, NJ (1998)Google Scholar
  7. 7.
    Miller, M.B., Van Horn, J.D., Wolford, G.L., Handy, T.C., Valsangkar-Smyth, M., Inati, S., Grafton, S., Gazzaniga, M.S.: Extensive individual differences in brain activations associated with episodic retrieval are reliable over time. Journal of Cognitive Neuroscience 148, 1200–1214 (2002)CrossRefGoogle Scholar
  8. 8.
    Shneiderman, B.: Direct manipulation for comprehensible, predictable and controllable user interfaces. In: Proc. of the 2nd International Conference on Intelligent User Interfaces. ACM Press, NY (1997)Google Scholar
  9. 9.
    Preece, J., Rogers, Y., Sharp, H.: Interaction design. Wiley, New York (2002)Google Scholar
  10. 10.
    Lauessen, S., Younessi, H.: Six styles for usability requirements. In: Dubois, P., Opdahl, A.L., Pohl, K. (eds.) Proceedings of 4th International Workshop on Requirements Engineering: Foundations of Software Quality, pp. 1–12 (1998)Google Scholar
  11. 11.
    Constantine, L.L.: Collaborative usability inspections for software. In: Proceedings of the Software Development 1994. Miller Freeman, San Francisco (1994)Google Scholar
  12. 12.
    Yu, W., Mcallister, G., Murphy, E., Kuber, R.: Developing Multi-modal Interfaces for Visually Impaired People to Access the Internet. Philip Strain Queen’s University of Belfast Northern IrelandGoogle Scholar
  13. 13.
    McKiel, J.F.A.: Method and system for enabling blind or visually impaired computer users to graphically select displayed elements. United States of America Patent Pat. 6,046,722 (April 2000)Google Scholar
  14. 14.
    Goble, C., Harper, S., Stevens, R.: The travails of visually impaired web travellers. In: Proceedings of the Eleventh ACM on Hypertext and Hypermedia, pp. 1–10. ACM (2000)Google Scholar
  15. 15.
    Edwards, A.D.N.: Soundtrack: An auditory interface forblind users. Human-Computer Interaction 4, 45–66 (1989)CrossRefGoogle Scholar
  16. 16.
    Edwards, K., Mynatt, E., Stockton, K.: Access tographical interfaces for blind users. Interactions 2(1), 54–67 (1995)CrossRefGoogle Scholar
  17. 17.
    Mynatt, E., Weber, G.: Nonvisual presentation of graphical user interfaces. In: Proceedings of CHI 1994. ACM Press, New York (1994)Google Scholar
  18. 18.
    Norman, D.A.: Cognitive Engineering. In: Norman, D.A., Draper, S.W. (eds.) User Centered System Design: New Perspectives on Human-Computer Interaction, pp. 31–65. Lawrence Erlbaum Associates, Hillsdale (1986)Google Scholar
  19. 19.
    Ran, L., et al.: Drishti: An Integrated Indoor/Outdoor Blind Navigation System and Service. In: Proc. 2nd IEEE Conf. on Pervasive Computing and Communications, pp. 23–30 (2004)Google Scholar
  20. 20.
    Petrie, H., Morley, S., Weber, G.: Tactile-Based Direct Manipulation in GUIs for Blind Users. In: Conference Companion to CHI 1995, pp. 428–429. ACM Press, New York (1995)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Muhammad Shafiq
    • 1
  • Jin-Ghoo Choi
    • 1
  • Muddesar Iqbal
    • 2
  • Muhammad Faheem
    • 2
  • Maqbool Ahmad
    • 2
  • Imran Ashraf
    • 2
  • Azeem Irshad
    • 2
  1. 1.Department of Information and Communication EngineeringYeungnam UniversitySouth Korea
  2. 2.Faculty of Computing and Information TechnologyUniversity of GujratPakistan

Personalised recommendations