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Metrics for analyzing rich session histories

Published: 23 May 2006 Publication History

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

[1]
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.]]
[2]
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.]]
[3]
Goodell, H., Chiang, C.-H., Kelleher, C., Baumann, A. and Grinstein, G., Collecting and Harnessing Rich Session Histories, in 10th International Conference on Information Visualisation, (London, England, 2006), IEEE Press.]]
[4]
Lee, J. P. and Grinstein, G. G. An Architecture for Retaining and Analyzing Visual Explorations of Databases. Proceedings of IEEE Visualization 1995. 101--109.]]
[5]
Lee, J. P. A systems and process model for data exploration Computer Science, Dissertation, University of Massachusetts at Lowell, Lowell, Massachusetts, USA, 1998, 245.]]
[6]
Rooden, M. J. T., Ed. (1998). Thinking About Thinking Aloud. Contemporary Ergonomics. London, Taylor and Francis.]]
[7]
Boren, M. T. and J. Ramey (2000). "Thinking Aloud: Reconciling Theory and Practice." IEEE Transactions on Professional Communication 43(3): 261--278]]
[8]
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.]]
[9]
Rekimoto, J., Time-Machine Computing: A Time-Centric Approach for the Information Environment, in ACM Symposium on User Interface Software and Technology, (1999), 45--54.]]

Cited By

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  • (2014)More bang for your research buckProceedings of the Fifth Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization10.1145/2669557.2669566(126-133)Online publication date: 10-Nov-2014

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BELIV '06: Proceedings of the 2006 AVI workshop on BEyond time and errors: novel evaluation methods for information visualization
May 2006
89 pages
ISBN:1595935622
DOI:10.1145/1168149
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 May 2006

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  1. session history analysis
  2. session history visualization
  3. user monitoring

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Overall Acceptance Rate 45 of 64 submissions, 70%

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Cited By

View all
  • (2014)More bang for your research buckProceedings of the Fifth Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization10.1145/2669557.2669566(126-133)Online publication date: 10-Nov-2014

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