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Validating Information Complexity Questionnaires Using Travel Web Sites

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Human-Computer Interaction. Interaction Design and Usability (HCI 2007)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 4550))

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Abstract

With the prevalent use of visual interfaces and the increasing demand to display more information, information complexity becomes a major concern for designers. Complex interfaces affect the system effectiveness, efficiency, and even safety. Researchers at the Federal Aviation Administration have developed two sets of psychometric questionnaires to evaluate information complexity of air traffic control displays. This study adapted the questionnaires for commercial visual interfaces and validated them with directed and exploratory tasks on three travel websites. The results confirmed that both complexity questionnaires have satisfactory reliability, validity, and sensitivity. But questionnaire B demonstrated higher sensitivity than Questionnaire A.

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References

  1. Lewis, J.R.: IBM computer usability satisfaction questionnaires: Psychometric evaluation and instructions for use. International Journal of Human-Computer Interaction 7(1), 57–78 (1995)

    Article  Google Scholar 

  2. Lewis, J.R.: Psychometric evaluation of the PSSUQ Using data from five years of usability studies. International Journal of Human-Computer Interaction 14(3&4), 463–488 (2002)

    Article  Google Scholar 

  3. Maeda, J.: The laws of simplicity: Design, Technology, Business, Life. MIT Press, Cambridge (2006)

    Google Scholar 

  4. Nunnally, J.C.: Psychometric Theory. McGraw-Hill, New York (1978)

    Google Scholar 

  5. Xing, J.: Measures of Information Complexity and the Implications for Automation Design. Federal Aviation Administration, Washington, DC No: DOT/FAA/AM-04/17 (2004)

    Google Scholar 

  6. Xing, J.: Two questionnaires for complexity evaluation and management in air traffic control displays, Technical report. Federal Aviation Administration, Washington, DC (2007)

    Google Scholar 

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Authors and Affiliations

  1. School of Industrial Engineering, University of Oklahoma, 202 W. Boyd, Room 124, Norman, OK,  

    Chen Ling & Miguel Lopez

  2. Civil Aerospace Medical Institute, United States Federal Aviation Administration, Oklahoma City, OK,  

    Jing Xing

Authors
  1. Chen Ling
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  2. Miguel Lopez
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  3. Jing Xing
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Julie A. Jacko

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© 2007 Springer-Verlag Berlin Heidelberg

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Ling, C., Lopez, M., Xing, J. (2007). Validating Information Complexity Questionnaires Using Travel Web Sites. In: Jacko, J.A. (eds) Human-Computer Interaction. Interaction Design and Usability. HCI 2007. Lecture Notes in Computer Science, vol 4550. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73105-4_99

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  • DOI: https://doi.org/10.1007/978-3-540-73105-4_99

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73104-7

  • Online ISBN: 978-3-540-73105-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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