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10.5555/2027916.2027940guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

Feasibility study of predictive human performance modeling technique in field activities

Published: 09 July 2011 Publication History

Abstract

This paper reports the results of usability evaluation based on the predictive human performance models applied to any products, and introduces application of a tool for predicting operational time to an IP phone and an electronic health record system UI consulting. We assessed effectiveness of this tool using efficiency estimation technique and extracted the practical the practical problems. In the human interface (HI) consultation process, as the tool predicts execution time of the current version and of the improved version, the improvement effect could be assessed. For an IP phone, we created the modified user interface designs from the point view of operational efficiency, so that we could indicate effectiveness of this tool by comparing task execution time. For an electronic health records, however, it is difficult to "directly" verify the effectiveness of the modified user interface designs from an efficiency standpoint. Through an evaluation scenario, the tool provided data that is necessary for assessment of improvement in this case.

References

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Chi, E.H., et al.: The bloodhound project: automating discovery of web usability issues using the InfoScent simulator. In: Conference on Human Factors in Computing Systems, pp. 505-512 (2003).
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Blackmon, M.H., et al.: Tool for accurately predicting website navigation problems, nonproblems, problem severity, and effectiveness of repairs. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 31-40 (2005).
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Carroll, J.M.: HCI Models, Theories, and Frameworks: Toward a multidisciplinary science. Morgan Kaufmann Pub., San Francisco (2003).
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John, B.E., et al.: Predictive human performance modeling made easy. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 455-462 (2004).
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Teo, L., John, B.E.: Towards Predicting User Interaction with CogTool-Explorer. In: Proceedings of the Human Factors and Ergonomics Society 52nd Annual Meeting, New York City, New York, September 22-26, pp. 950-954 (2008).
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Pirolli, P.: Information Foraging Theory: Adaptive Interaction with Information. Oxford University Press, USA (2007).

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Information & Contributors

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Published In

cover image Guide Proceedings
HI'11: Proceedings of the 2011 international conference on Human interface and the management of information - Volume Part I
July 2011
673 pages
ISBN:9783642217920
  • Editors:
  • Michael J. Smith,
  • Gavriel Salvendy

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 09 July 2011

Author Tags

  1. consultation
  2. efficiency
  3. predictive human performance model
  4. understandability
  5. usability evaluation

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