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Enhancing older adults connectivity by introducing mobile devices communication tools

Published:01 December 2016Publication History

ABSTRACT

Mobile devices such as smartphones and tablets have the potential to enhance the connectivity of older adults with their family and friends. However, many older adults face difficulties when introduced to the devices and, as a result, they may end up being excluded from circles that require them to be educated in the corresponding technology. In such context, we designed a one-year course to teach older adults to use smartphones and tablets. Our long term aim is to propose a teaching format that would allow both replication and iterative improvement definition. In this paper we discuss preliminary results from the offering of the course over two years. We present an overview of the structure of the course and outline the typical demographics of our students. We also detail, for the current offering (Semester 2/2016), which applications students use more frequently after one semester of course. In particular, with respect to connectivity, we report the number of messages exchanged via WhatsApp by the students during a period of six months. We also comment on testimonials of students that have taken the course, who present their impressions, and of students that are about to start the course, who report their expectation.

References

  1. S. Abd Malik and A. D. Edwards. Investigation of Cultural Dependency in Mobile Technology and Older Adults. In CHI '10 Extended Abstracts on Human Factors in Computing Systems, pages 3835--3840. ACM, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. C. M. Bori. Developments in Brazil. PSI-The Keller Plan Handbook-Menlo Park, CA, WA Benjamin, pages = 65--72, year = 1974.Google ScholarGoogle Scholar
  3. K. Brandt. The Senior Dummies' Guide to Android Tips and Tricks: How to Feel Smart While Using Android Phones and Tablets. Acceleran LCC, 2016.Google ScholarGoogle Scholar
  4. A. Catania. Learning. 4th interim edition, 2007.Google ScholarGoogle Scholar
  5. K. Chen and A. Chan. A review of technology acceptance by older adults. Gerontechnology, 10(1): 1--12, 2011.Google ScholarGoogle ScholarCross RefCross Ref
  6. J. E. Chung, N. Park, H. Wang, J. Fulk, and M. McLaughlin. Age differences in perceptions of online community participation among non-users: An extension of the Technology Acceptance Model. Computers in Human Behavior, 26(6): 1684, 1684, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. M. Conci, F. Pianesi, and M. Zancanaro. Useful, social and enjoyable: Mobile phone adoption by older people. In IFIP Conference on Human-Computer Interaction, pages 63--76. Springer, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. S. J. Czaja, N. Chamess, A. D. Fisk, C. Hertzog, S. N. Nair, W. A. Rogers, and J. Sharit. Factors predicting the use of technology: findings from the center for research and education on aging and technology enhancement (CREATE). Psychology and aging, 21 (2): 333, 2006.Google ScholarGoogle Scholar
  9. S. J. Czaja and J. Sharit. Age differences in attitudes toward computers. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 53(5): P329--P340, 1998.Google ScholarGoogle ScholarCross RefCross Ref
  10. A. C. de Barros, R. Leitão, and J. Ribeiro. Design and evaluation of a mobile user interface for older adults: navigation, interaction and visual design recommendations. Procedia Computer Science (DSAI 2013), 27: 369--378, 2014.Google ScholarGoogle Scholar
  11. A. Dickinson and R. L. Hill. Keeping in touch: Talking to older people about computers and communication. Educational Gerontology, 33(8): 613--630, 2007.Google ScholarGoogle ScholarCross RefCross Ref
  12. J. L. Dyck and J. A.-A. Smither. Age differences in computer anxiety: The role of computer experience, gender and education. Journal of Educational Computing Research, 10(3): 239--248, 1994.Google ScholarGoogle ScholarCross RefCross Ref
  13. J.-M. Díaz-Bossini and L. Moreno. Accessibility to mobile interfaces for older people. Procedia Computer Science (DSAI 2013), 27:57--66, 2014.Google ScholarGoogle Scholar
  14. A. González, M. P. Ramírez, and V. Viadel. ICT Learning by Older Adults and Their Attitudes toward Computer Use. Current gerontology and geriatrics research, 2015, 2015.Google ScholarGoogle Scholar
  15. D. Hawthom. Possible implications of aging for interface designers. Interacting with computers, 12(5): 507--528, 2000.Google ScholarGoogle Scholar
  16. C. Hughes. Help Me! Guide to Android for Seniors: Introduction to Android Phones and Tablets for Beginners. CreateSpace Independent Publishing Platform, 2015.Google ScholarGoogle Scholar
  17. F. S. Keller. "GOOD-BYE, TEACHER...". Journal of Applied Behavior Analysis, 1 (1):79--89, 1968.Google ScholarGoogle ScholarCross RefCross Ref
  18. N. Kienen, O. MitsueKubo, and S. P. Botomé. Programmed instruction and programming conditions for the development of behaviors: some aspects in the development of a psychologist field of action (in Portuguese). acta comportamentalia, 21 (4):481--494, 2015.Google ScholarGoogle Scholar
  19. S. Kumiawan, M. Mahmud, and Y. Nugroho. A Study of the Use of Mobile Phones by Older Persons. In CHI '06 Extended Abstracts on Human Factors in Computing Systems, CHI EA '06, pages 989--994. ACM, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. S. Mallenius, M. Rossi, and V. K. Tuunainen. Factors affecting the adoption and use of mobile devices and services by elderly people-results from a pilot study. 6th Annual Global Mobility Roundtable, 31, 2007.Google ScholarGoogle Scholar
  21. MCT. National Survey by Household Sampling ---Internet access and TV and Mobile Cellular Phone possession for Personal use. Ministério do Planamento, Orçamento e Gestã0 Instituto Brasileiro de Geografia e Estatística-IBGE, 2013.Google ScholarGoogle Scholar
  22. A. Meyer. Technology classes for senior citizens: Creating an environment where senior citizens can develop technology skills to actively participate in a strong society. In IFLA WLIC 2015, 2015.Google ScholarGoogle Scholar
  23. T. L. Mitzner, J. B. Boron, C. B. Fausset, A. E. Adams, N. Charness, S. J. Czaja, K. Dijkstra, A. Fisk, W. Rogers, and J. Sharit. Older adults talk technology: Technology usage and attitudes. Computers in human behavior, 26(6): 1710--1721, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. N. Nale. Programed instruction in Brazil: the role of Carolina Bori (in Portuguese: Programaçã0 de ensino no Brasil: 0 papel de Carolina Bori). Psicologia USP, 9(1): 275--301,199S.Google ScholarGoogle ScholarCross RefCross Ref
  25. E. Patsoule and P. Koutsabasis. Redesigning websites for older adults: a case study. Behaviour & Information Technology, 33(6): 561--573, 2014.Google ScholarGoogle ScholarCross RefCross Ref
  26. J. Poushter. Smartphone ownership and intemet usage contin ues to climb in emerging economies. Pew Research Center: Global Attitudes & Trends, 2016.Google ScholarGoogle Scholar
  27. Rodrigues, M. Carreira, and D. Gonçalves. Developing a Multimodal Interface for the Elderly. Procedia Computer Science (DSAI 2013), 27:359--368, 2014.Google ScholarGoogle Scholar
  28. M.-H. Ryu, S. Kim, and E. Lee. Understanding the factors affecting online elderly user's participation in video UCC services. Computers in Human Behavior, 25(3):619--632,2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. S. Sayago, J.-M. Guijarro, and J. Blat. Selective attention in web forms: an exploratory case study with older people. Behaviour & Information Technology, 31 (2): 171--184, 2012.Google ScholarGoogle ScholarCross RefCross Ref
  30. A. Signoretti, A. I. Martins, N. Almeida, D. Vieira, A. F. Rosa, C. M. Costa, and A. Texeira. Trip 4 All: A Gamified App to Provide a New Way to Elderly People to Travel. Procedia Computer Science (DSAI 2015), 67:301--311, 2015.Google ScholarGoogle Scholar
  31. B. Skinner. Humanistic behaviorism. Humanistic, 31 (3):35--35, 1971.Google ScholarGoogle Scholar
  32. B. F. Skinner. Reinforcement today. American Psychologist, 13 (3):94, 1958.Google ScholarGoogle ScholarCross RefCross Ref
  33. B. F. Skinner. Teaching machines. Science, 1958.Google ScholarGoogle Scholar
  34. R. Steele, A. Lo, C. Secombe, and Y. K. Wong. Elderly persons' perception and acceptance of using wireless sensor networks to assist healthcare. International Journal of Medical Info rmatics, 78 (12): 788--801, 2009.Google ScholarGoogle ScholarCross RefCross Ref
  35. I. Szarvas, M. Nitsch, O. Lambacher, J. Howe, N. Reichwaldt, T. von Bargen, and R. Haux. Possibilities and acceptance of mobile information technologies for the elderly-first results of an empirical study. Studies in Health Technology and Informatics, 192: 248, 2015.Google ScholarGoogle Scholar

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  • Published in

    cover image ACM Other conferences
    DSAI '16: Proceedings of the 7th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion
    December 2016
    440 pages
    ISBN:9781450347488
    DOI:10.1145/3019943

    Copyright © 2016 ACM

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 1 December 2016

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