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Metrics for measuring human interaction with interactive visualizations for information analysis
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Conference on Human Factors in Computing Systems archive
Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems table of contents
Florence, Italy
SESSION: Visualizations table of contents
Pages 1493-1496  
Year of Publication: 2008
ISBN:978-1-60558-011-1
Authors
Theresa A. O'Connell,  National Institute of Standards and Technology, Gaithersburg, MD
Yee-Yin Choong  National Institute of Standards and Technology, Gaithersburg, MD
Sponsors
ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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ABSTRACT

There is a lack of widely-accepted metrics for evaluating analysts' experiences with interactive visualizations (IV) for information analysis. We report an approach for developing analyst-centered IV metrics that is built upon understanding the workplace needs and experiences of information analysts with respect to IVs. We derive metrics from human-computer interaction heuristics, specializing the metrics to address the characteristics of IVs and analysts. When there are no existing heuristics, analysts' needs and experiences inform new heuristics.


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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Collaborative Colleagues:
Theresa A. O'Connell,: colleagues
Yee-Yin Choong: colleagues