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Visualizations for self-reflection on mouse pointer performance for older adults

Published:22 October 2012Publication History

ABSTRACT

Aging causes physical and cognitive changes that influence how we interact with the world around us. As personal data becomes increasingly available from a variety of sources, older adults can use this information to better understand these changes and adapt. Our project explores information visualization as a tool to help older adults interpret and understand their own personal data. To test this concept, we created visualizations of user's pointer performance metrics to help demystify problems in real-world mouse use. In a user study conducted with older adults with a range of computing experience, we learned that visualizations such as these can be a highly engaging information medium for this population. This paper presents our value-driven design process and recommendations for visualizations for older adults.

References

  1. A. Hurst, J. Mankoff, S. Hudson. Understanding pointing problems in real world computing environments. In Proc. Of ASSETS 2008, ACM Press (2008), 43. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. C. Leonardi, C. Mennecozzi, E. Not, F. Pianesi, M. Zancanaro. Designing a Familiar Technology for Elderly People. In Gerontechnology, 7(2):153, 2008.Google ScholarGoogle ScholarCross RefCross Ref
  3. T. Muzner. A Nested Model for Visualization Design and Validation. In IEEE Transactions on Visualization and Computer Graphics, 15(6): 921--928, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. I. Li, A. Dey, J. Forlizzi. A Stage-Based Model of Personal Informatics Systems. In Proc. of CHI 2010, ACM Press (2010), 557. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Visualizations for self-reflection on mouse pointer performance for older adults

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          cover image ACM Conferences
          ASSETS '12: Proceedings of the 14th international ACM SIGACCESS conference on Computers and accessibility
          October 2012
          321 pages
          ISBN:9781450313216
          DOI:10.1145/2384916

          Copyright © 2012 Authors

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 22 October 2012

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          Overall Acceptance Rate436of1,556submissions,28%

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