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Moses -- method for selecting senior mobile phones: supporting design & choice for the elderly

Published:01 October 2012Publication History

ABSTRACT

The current focus on the development of mobile and ubiquitous computing technologies presents new and exciting challenges for the evaluation of interactive products. Despite a vast and growing literature on mobile phone requirements for the elderly there are no customisable design guidelines to support and inform designers and especially, the people who buy and sell mobile phones for the elderly.

This paper presents a method for using a customisable, prioritised checklist to guide phone and feature selection, specifically for older adults. To identify and isolate the items for this list, we collected data relating to the needs of elderly mobile phone users by interviewing 147 elderly mobile phone users. The data was analysed and the findings used to construct the checklist. Building on and extending previous research involving guidelines and checklists, this paper adds value by proposing a prioritized checklist to inform the selection and design of mobile phones. The mechanism prioritises features, attaching a weight to each, to support quantification of the suitability of a particular phone for a specific person. The same mechanism can be used by interface designers who have to select an optimal set of features. The paper should be of interest to mobile phone users, designers, practitioners and researchers in the field of mobile Human-Computer interaction.

References

  1. Abascal, J., & Civit, A. 2001. Universal access to mobile telephony as a way to enhance the autonomy of elderly people. Paper presented at the 2001 EC/NSF Workshop on Universal Accessibility of Ubiquitous Computing: Providing for the Elderly, New York. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Adams, A. S., Soumerai, S. B., Lomas, J., & Ross-Degnan, D. 1999. Evidence of self-report bias in assessing adherence to guidelines. Int Journal of Quality in Health Care, 11(3), 187--192.Google ScholarGoogle ScholarCross RefCross Ref
  3. Buchan, B. J., Dennis, M. L., Tims, F. M., & Diamond, G. S. 2002. Cannabis use: consistency and validity of self-report, on-site urine testing and laboratory testing. Addiction. Special Issue: Treatment of Marijuana Disorders., 97, 98--108.Google ScholarGoogle Scholar
  4. Conci, M., Pianesi, F., & Zancanaro, M. 2009. Useful, Social and Enjoyable: Mobile Phone Adoption by Older People Lecture Notes in Computer Science (Vol. 5726/2009, pp. 63--76). Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Darroch, I., Goodman, J., Brewster, S. A., & Gray, P. D. 2005. The effect of age and font size on reading text on handheld computers. Paper presented at the Human-Computer Interaction - Interact 2005, Berlin/Heidelberg, Germany. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Dix, A., Finlay, J., Abowd, G., & Beale, R. 1993. Human-Computer Interaction: Prentice Hall. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Förster, F., Moser, C., & Tscheligi, M. 2012. A Toolset to Inspire an Experience-Centered Design of Mobile Phones for Older Users., from http://di.ncl.ac.uk/uxmessage/files/2012/05/6_Foerster.pdfGoogle ScholarGoogle Scholar
  8. Gawande, A. 2009. The Checklist Manifesto: How to Get Things Right: Metropolitan Books.Google ScholarGoogle Scholar
  9. Gelderblom, J. H., Van Dyk, T. J., & Van Biljon, J. A. 2010. Mobile phone adoption: Do existing models adequately capture the actual usage of older adults? In P. Kotze, A. Gerber, A. Van der Merwe & N. Bidwell (Eds.), Fountains of Computing Research, Proceedings of SAICSIT 2010 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists. Bela Bela, South Africa, October 2010. (pp. 67--74): ACM International Conference Proceedings Series. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. George, J. F. 2002. Influences on the intent to make Internet purchases. Internet Research: Electronic Networking Applications and Policy., 12(2), 165--180.Google ScholarGoogle Scholar
  11. Hagen, P., Robertson, T., Kan, M., & Sadler, K. 2005. Emerging research methods for understanding mobile technology use. Paper presented at the OZCHI 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Heo, J., & Ham, D. 2009. A framework for evaluating the usability of mobile phones based on multi-level, hierarchical model of usability factors. Interacting with Computers, 21, 263--275. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Hoober, S., & Berkman, E. 2012. Designing Mobile Interfaces. Sebastapol: O'Reilly Media. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Ji, Y. G., Park, J. H., Lee, C., & Yun, M. H. 2006. A Usability Checklist for the Usability Evaluation of Mobile Phone User Interface. International Journal of Human-Computer Interaction, 20(3), 207--231.Google ScholarGoogle ScholarCross RefCross Ref
  15. Jones, M., & Marsden, G. 2006. Mobile Interaction Design. England: John Wiley and Sons. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Junger-Tas, J., & Marshall, I. H. 1999. The Self-Report Methodology. Crime Research Crime and Justice., 25, 291--367.Google ScholarGoogle Scholar
  17. Kallio, T., & Kekalainen, A. 2004. Improving the effectiveness of mobile application design: User-pairs testing by non-professionals. Lectures Notes in Computer Science (Vol. 3160, pp. 315--319).Google ScholarGoogle Scholar
  18. Keevil, B. 1998. Measuring the usability index of your Web site. Paper presented at the SIGDOC 98, New York. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Kjeldskov, J., & Graham, C. 2003. A Review of Mobile HCI Research Methods. Paper presented at the Mobile HCI 2003, Heidelberg.Google ScholarGoogle Scholar
  20. Kurniawan, S. 2006. An exploratory study of how older women use mobile phones. Paper presented at the UbiComp 2006: Ubiquitous Computing, New York. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Kurniawan, S., & Zaphiris, P. 2005. Research-Derived Web Design Guidelines for Older People. Paper presented at the ASSETS'05, Baltimore, Maryland, USA. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Maguire, M., & Osman, Z. 2003. Designing for older inexperienced mobile phone users. Paper presented at the HCI International 2003, New Jersey.Google ScholarGoogle Scholar
  23. O'Connell, T. A. 2007. The Why and How of Senior-focused Design. In J. Lazar (Ed.), Universal Usability: Designing Computer Interfaces for Diverse Users. Chichester: John Wiley & Sons.Google ScholarGoogle Scholar
  24. Phillips, L., & Sternthal, B. 1977. Age differences in information processing: a perspective on the aged consumer. Journal of Marketing Research, 14(2), 444--457.Google ScholarGoogle ScholarCross RefCross Ref
  25. Reid, R., & Brown, S. 1996. I hate shopping! An introspective perspective. International Journal of Retail and Distribution Management., 24(4), 4--16.Google ScholarGoogle ScholarCross RefCross Ref
  26. Renaud, K., & van Biljon, J. 2008. Predicting Technology Acceptance by the Elderly: A qualitative study. Paper presented at the SAICSIT 2008, George, South Africa. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Research, P. 2012. Assessing the Representativeness of Public Opinion Surveys., from http://www.people-press.org/2012/05/15/assessing-the-representativeness-of-public-opinion-surveys/?src=prc-newsletterGoogle ScholarGoogle Scholar
  28. Sandvik, E., Diener, E., & Seidlitz, L. 1993. Subjective Well-Being: The Convergence and Stability of Self-Report and Non-Self-Report Measures. Journal of Personality., 61(3), 317--342.Google ScholarGoogle ScholarCross RefCross Ref
  29. Savage, S. L., & Danzinger, J. 2009. The Flaw of Averages: Why We Underestimate Risk in the Face of Uncertainty.: John Wiley & Sons.Google ScholarGoogle Scholar
  30. Siek, K. A. 2008. Mobile Design for Older Adults. In J. Lumsden (Ed.), Handbook of Research on User Interface Design and Evaluation for Mobile Technology (Vol. I): IGI Global.Google ScholarGoogle Scholar
  31. van Biljon, J., & Renaud, K. 2008. A Qualitative Study of the Applicability of Technology Acceptance Models to Senior Mobile Phone Users. Paper presented at the Workshops ER2008 27th International Conference on Conceptual Modeling, Barcelona, Spain. Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. Van Biljon, J. A., Van Dyk, T. J., & Gelderblom, H. 2010. Mobile phone adoption: Optimising value for older adults in a developing country. In J. Steyn (Ed.), 4th International IDIA Development Informatics Conference. 2--4 November 2010. Cape Town, South Africa: IDIA, Monash University ISBN - 978-0-620-47590-7Google ScholarGoogle Scholar
  33. Van den Berg, M., Botha, A., Krause, C., Tolmay, J. P., & van Zyl, P. 2008. Mobiled: A step backwards to look ahead. Paper presented at the Conference on Mobile Learning: From Text to Context, Shropshire, United Kingdom.Google ScholarGoogle Scholar
  34. Wheeless, L. R., & Grotz, J. 1977. The measurement of trust and its relationship to self-disclosure. Human Communication Research., 3(3), 250--257.Google ScholarGoogle ScholarCross RefCross Ref
  35. Yuan, Y., & Zhang, J. J. 2003. Towards and appropriate business model for m-commerce. Mobile communications, 1(1--2), 35--56. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Moses -- method for selecting senior mobile phones: supporting design & choice for the elderly

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              cover image ACM Other conferences
              SAICSIT '12: Proceedings of the South African Institute for Computer Scientists and Information Technologists Conference
              October 2012
              402 pages
              ISBN:9781450313087
              DOI:10.1145/2389836

              Copyright © 2012 ACM

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              Publication History

              • Published: 1 October 2012

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