| Metrics for analyzing rich session histories |
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AVI
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Proceedings of the 2006 AVI workshop on BEyond time and errors: novel evaluation methods for information visualization
table of contents
Venice, Italy
SESSION: Methodologies: novel approaches and metrics
table of contents
Pages: 1 - 5
Year of Publication: 2006
ISBN:1-59593-562-2
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Authors
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Howard Goodell
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University of Massachusetts at Lowell, Lowell, MA
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Chih-Hung Chiang
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University of Massachusetts at Lowell, Lowell, MA
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Curran Kelleher
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University of Massachusetts at Lowell, Lowell, MA
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Alex Baumann
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University of Massachusetts at Lowell, Lowell, MA
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Georges Grinstein
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University of Massachusetts at Lowell, Lowell, MA
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Downloads (6 Weeks): 9, Downloads (12 Months): 42, Citation Count: 0
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ABSTRACT
To be most useful, evaluation metrics should be based on detailed observation and effective analysis of a full spectrum of system use. Because observation is costly, ideally we want a system to provide in-depth data collection with allied analyses of the key user interface elements. We have developed a visualization and analysis platform [1] that automatically records user actions and states at a high semantic level [2 and 3], and can be directly restored to any state. Audio and text annotations are collected and indexed to states, allowing users to comment on their current situation as they work, and/or as they review the session. These capabilities can be applied to usability evaluation of the system, describing problems they encountered, or to suggest improvements to the environment. Additionally, computed metrics are provided at each state [3, 4, and 5]. We believe that the metrics and the associated history data will allow us to deduce patterns of data exploration, to compare users, to evaluate tools, and to understand in a more automated approach the usability of the visualization system as a whole.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Gee, A. G., Li, H., Yu, M., Smrtic, M. B., Cvek, U., Goodell, H., Gupta, V., Lawrence, C., Zhou, J., Chiang, C.-H. and Grinstein, G. G., Universal Visualization Platform, in Visualization and Data Analysis 2005, (San Jose, California, USA, 2005), SPIE, 274--283.
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Goodell, H., Chiang, C.-H. and Grinstein, G. G. Taxonomized Automated Monitoring of Interactive Visualization, Computer Science Department, University of Massachusetts at Lowell, Lowell, Massachusetts, 2006.
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Lee, J. P. A systems and process model for data exploration Computer Science, Dissertation, University of Massachusetts at Lowell, Lowell, Massachusetts, USA, 1998, 245.
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Rooden, M. J. T., Ed. (1998). Thinking About Thinking Aloud. Contemporary Ergonomics. London, Taylor and Francis.
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Boren, M. T. and J. Ramey (2000). "Thinking Aloud: Reconciling Theory and Practice." IEEE Transactions on Professional Communication 43(3): 261--278
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Bowers, V. A. (1990). Concurrent Versus Retrospective Verbal Protocols for Comparing Window Usability. Industrial Engineering and Operations Research. Blacksburg, Virginia, USA, Virginia Polytechnic Institute and State University. Doctorate thesis.
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