International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume5,January 2018,

Topic : Designing a User Interface in HCI for predicting the performance task using Keystroke Level Model and Cognitive Complexity Theory

Authors:D. Kalpanadevi || Dr. M. Mayilvaganan

Abstract:In this research focuses on Human computer Interface system gives the better performance of the student usability based on Keystroke Level model and cognitive complexity theory. A task performance can be measured by the goal factor of evaluating the user interaction when the response to the question. To conduct laboratory test by user interface design to determines the exact task in the test plan, based on the cognitive model with usability metrics. Usability testing can be processed by the suggestion of evaluating usability metrics under in terms of effectiveness, efficiency and satisfaction..

Keywords: Key Strokes Level Model, Cognitive Complexity Theory, Efficiency, Efficiency, satisfaction, usability testing, Usability metrics

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DOI: 01.1617/vol5/iss1/pid16293


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Editor-in-Chief

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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
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