Design of a Web-Based LBS Framework Addressing Usability,Cost, and Implementation Constraints |
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| Authors: | Jacob Delfos Tele Tan Bert Veenendaal |
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| Affiliation: | (1) Laboratory of Neuroinformatics and Department of Physiology, Weill Medical College, Cornell University, 1300 York Avenue, New York, NY 10065, USA;(2) Molecular and Behavioral Neuroscience, University of Michigan, Ann Arbor, MI 48109, USA;(3) Center for Neural Informatics, Structure, and Plasticity and Molecular Neuroscience Department, Krasnow Institute for Advanced Study, George Mason University, Fairfax, VA 22030, USA;(4) National Primate Research Center, University of Washington, Seattle, WA 98195, USA;(5) Department of Neurosciences, University of California, San Diego, CA 92093, USA;(6) San Diego Supercomputer Center, University of California, San Diego, CA 92093, USA;(7) Departments of Neurology and Radiology, Harvard Medical School, Boston, MA 02129, USA;(8) Department of Neurobiology and Yale Center for Medical Informatics, School of Medicine, Yale University, New Haven, CT 06510, USA;(9) Howard Hughes Medical Institute and Division of Biology, California Institute of Technology, Pasadena, CA 91125, USA;(10) Department of Anatomy and Neurobiology, School of Medicine, Washington University, St. Louis, MO 63110, USA;(11) Department of Anatomy and Neurobiology and Department of Pediatrics, University of Tennessee Health Science Center, Memphis, TN 38163, USA |
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| Abstract: | This research investigates barriers that prevent Location Based Services (LBS) from reaching its full potential. The different constraints, including poor usability, lack of positioning support, costs, and integration difficulties are highlighted. A framework was designed incorporating components based on existing and new technologies that could help address the constraints of LBS and increase end-user acceptance. This research proposes that usability constraints can be addressed by adapting a system to user characteristics which are inferred on the basis of captured user context and interaction data. A prototype LBS system was developed to prove the feasibility and benefit of the framework design, demonstrating that constraints of positioning, cost, and integration can be overcome. Volunteers were asked to use the system, and to answer questions in relation to their proficiency and experience. User-feedback showed that the proposed combination of functionality was well-received, and the prototype was appealing to many users. Ground-truths from the survey were related back to data captured with a user monitoring component in order to investigate whether users can be classified according to their context and how they interact. The results have shown that statistically significant relationships exist, and that by using the C4.5 decision-tree, computer proficiency can be estimated within one class-width in 76.7% of the cases. These results suggest that it may be possible to build a user-model to estimate computer proficiency on the basis of user-interaction data. The user model could then used to improve usability through adaptive user-specific customisations. |
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