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Measures of information complexity and the implications for automation design : final report / Jing Xing.

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Format:
Book
Government document
Author/Creator:
Xing, Jing
Contributor:
United States. Office of Aerospace Medicine
Civil Aerospace Medical Institute
Language:
English
Subjects (All):
Information display systems--Psychological aspects.
Information display systems.
Airports--Traffic control--Display systems.
Airports.
Air traffic control--Automation--Evaluation.
Air traffic control.
Aeronautics--Human factors.
Aeronautics.
Data Display.
Aviation--methods.
User-Computer Interface.
Medical Subjects:
Data Display.
Aviation--methods.
User-Computer Interface.
Physical Description:
1 online resource
Place of Publication:
Washington, DC : Office of Aerospace Medicine, Federal Aviation Administration ; Springfield, Va. : Available through the National Technical Information Service, [2004]
Summary:
The objective of this report was to develop observable metrics of IC for automation displays. This objective raises three basic questions: What is complexity? Why can information be too complex for the human brain? Finally, how do we quantify the complexity of visual displays? This paper is organized into three sections to address the above questions. We will first summarize our understanding of information complexity from an analysis of the literature. Then we will demonstrate that information is processed at three distinctive stages in the human brain, and complexity should be evaluated by the functions at each stage. In the last section, we will describe a set of IC metrics that we propose to use for automation displays in ATC.
Notes:
Title from PDF title page (viewed Sept. 9, 2006).
"October 2004."
"DOT/FAA/AM-04/17."
Includes bibliographical references.
Other Format:
Xing, Jing. Measures of information complexity and the implications for automation design
Online version: Xing, Jing. Measures of information complexity and the implications for automation design.
OCLC:
71464751

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