RefLink: An Interface that Enables People with Motion Impairments to Analyze Web Content and Dynamically Link to References

Margrit Betke, Smita Deshpande

Abstract

In this paper, we present RefLink, an interface that allows users to analyze the content of web page by dynamically linking to an online encyclopedia such as Wikipedia. Upon opening a webpage, RefLink instantly provides a list of terms extracted from the webpage and annotates each term by the number of its occurrences in the page. RefLink uses the text-to-speech interface to read out the list of terms. The user can select a term of interest and follow its link to the encyclopedia. RefLink thus helps the users to perform an informed and efficient contextual analysis. Initial user testing suggests that RefLink is a valuable web browsing tool, in particular for people with motion impairments, because it greatly simplifies the process of obtaining reference material and performing contextual analysis.

References

  1. Assistive Technologies, http://www.assistivetechnologies.com, accessed January 2009.
  2. J. J. Magee, M. Betke, J. Gips, M. R. Scott, B. N. Waber, "A human-computer interface using symmetry between eyes to detect gaze direction," IEEE Transactions on Systems Man and Cybernetics: 38(6):1-14, November 2008
  3. R. Heimgärtner, A. Holzinger and R. Adams, “From Cultural to Individual Adaptive EndUser Interfaces: Helping People with Special Needs,” Proceedings of 11th International Conference on Computers Helping People with Special Needs, Book Series: Lecture Notes in Computer Science, Volume: Volume 5105/2008, pages 82-89, Springer Berlin / Heidelberg
  4. CameraMouse: http://www.cameramouse.org, accessed January 2009
  5. M. Chau and M. Betke, “Real Time Eye Tracking and Blink Detection with USB Cameras,” Boston University Computer Science Technical Report 2005-012, May 2005.
  6. J. Abascal and A. Civit, “Mobile Communication for People with Disabilities and Older People: New Opportunities for Autonomous Life,” Proceedings of the 6th ERCIM Workshop on 'User Interfaces for All' Italy, October 2000.
  7. M. Betke, J. Gips, and P. Fleming, “The camera mouse: Visual tracking of body features to provide computer access for people with severe disabilities,” IEEE Trans. Neural Systems and Rehabilitation Eng., 10(1):1-10, 2002.
  8. W. Akram, L. Tiberii and M. Betke, “Designing and Evaluating Video-based Interfaces for Users with Motion Impairments.” In review.
  9. R. W. Soukoreff and I. S. MacKenzie, “Towards a standards for pointing device evaluation, perspectives on 27 years of Fitts' law research in HCI.” International Journal of HumanComputer Studies 61(6):751-789, December 2004.
  10. J. O. Wobbrock and K. Z. Gajos, “Goal crossing with mice and track-balls for people with motion impairments: Performance, submovements, and design directions,” ACM Transactions on Accessible Computing 1(1):1-37, 2008.
  11. Wikipedia: http://www.wikipedia.org/, accessed January 2009.
  12. E. A. Bier, E. W. Ishak, and E. Chi, “Entity quick click: rapid text copying based on automatic entity extraction.” In Proceedings of the Conference on Human Factors in Computing Systems 2006, pages 562-567, ACM.
  13. M. Dzbor, J. Domingue and E. Motta, “Magpie- Towards a Semantic Web Browser.” Book Series: Lecture Notes in Computer Science, Volume: Vo-lume 2870/2003, pages 690-705, Springer Berlin/ Heidelberg.
  14. Text-to-speech Interface, http://espeak.sourceforge.net/, accessed January 2009.
  15. PubMed Link : Online library of Medical Science articles http://www.pubmed.gov, accessed January 2009.
  16. Lung Imaging Test Link: contains information about Medical Image Analysis. http://www.cs.bu.edu/faculty/betke/research/lung.html
  17. K. Punera, S. Rajan and J. Ghosh, “Automatically Learning Document Taxonomies for Hierarchical Classification,” Special Interest Tracks and Posters of the 14th International Conference on World Wide Web, pages 1010-1011, 2005.
  18. O. Etzioni, M. Cafarella, D. Downey, A. Shaked, S. Soderland, D. Weld and A. Yates, “Unsupervised Named- Entity Extraction from the Web,” Artificial Intelligence, 165:91- 134, June 2005.
  19. D. Sánchez and A. Moreno, “Automatic Generation of Taxonomies from the WWW,” Practical Aspects of Knowledge Management, Proceedings 5th International Conference, pages 208-220, Vienna, Austria, December 2004.
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Paper Citation


in Harvard Style

Betke M. and Deshpande S. (2009). RefLink: An Interface that Enables People with Motion Impairments to Analyze Web Content and Dynamically Link to References . In Proceedings of the 9th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2009) ISBN 978-989-8111-89-0, pages 28-37. DOI: 10.5220/0002180700280037


in Bibtex Style

@conference{pris09,
author={Margrit Betke and Smita Deshpande},
title={RefLink: An Interface that Enables People with Motion Impairments to Analyze Web Content and Dynamically Link to References},
booktitle={Proceedings of the 9th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2009)},
year={2009},
pages={28-37},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002180700280037},
isbn={978-989-8111-89-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2009)
TI - RefLink: An Interface that Enables People with Motion Impairments to Analyze Web Content and Dynamically Link to References
SN - 978-989-8111-89-0
AU - Betke M.
AU - Deshpande S.
PY - 2009
SP - 28
EP - 37
DO - 10.5220/0002180700280037