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IEEE 2002 Symposium on Human Centric Computing Languages and Environments (HCC'02)
Empirical Evidence that Algorithm Animation Promotes Understanding of Distributed Algorithms
Arlington, Virginia, USA
September 03-September 06
ISBN: 0-7695-1644-0
ASCII Text
x 
 
Mihail E. Tudoreanu, Rong Wu, Ashley Hamilton-Taylor, Eileen Kraemer, "Empirical Evidence that Algorithm Animation Promotes Understanding of Distributed Algorithms," Human-Centric Computing Languages and Environments, IEEE CS International Symposium on, pp. 236, IEEE 2002 Symposium on Human Centric Computing Languages and Environments (HCC'02), 2002.
 
 
BibTex
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@article{ 10.1109/HCC.2002.1046376,
author = {Mihail E. Tudoreanu and Rong Wu and Ashley Hamilton-Taylor and Eileen Kraemer},
title = {Empirical Evidence that Algorithm Animation Promotes Understanding of Distributed Algorithms},
journal ={Human-Centric Computing Languages and Environments, IEEE CS International Symposium on},
volume = {0},
year = {2002},
isbn = {0-7695-1644-0},
pages = {236},
doi = {http://doi.ieeecomputersociety.org/10.1109/HCC.2002.1046376},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Human-Centric Computing Languages and Environments, IEEE CS International Symposium on
TI - Empirical Evidence that Algorithm Animation Promotes Understanding of Distributed Algorithms
SN - 0-7695-1644-0
SP
EP
A1 - Mihail E. Tudoreanu,
A1 - Rong Wu,
A1 - Ashley Hamilton-Taylor,
A1 - Eileen Kraemer,
PY - 2002
KW - null
VL - 0
JA - Human-Centric Computing Languages and Environments, IEEE CS International Symposium on
ER -
 
Mihail E. Tudoreanu, Washington University at St. Louis
Rong Wu, University of Georgia
Ashley Hamilton-Taylor, University of Georgia
Eileen Kraemer, University of Georgia
Previous studies of program visualization have generally failed to provide convincing support for the benefits of algorithm animation in promoting the understanding of computations. This paper presents a study in which the use of program visualization resulted in significantly better understanding of a distributed computation. Understanding was measured in terms of the number of correct responses to questions about the algorithm. The environment used in this study differs from that of previous studies in a number of aspects; it combines the use of distributed algorithm visualization, 3-D visualization, and legends. In addition, the design of both the experiment and animation focused on reducing cognitive noise.
Citation:
Mihail E. Tudoreanu, Rong Wu, Ashley Hamilton-Taylor, Eileen Kraemer, "Empirical Evidence that Algorithm Animation Promotes Understanding of Distributed Algorithms," hcc, pp.236, IEEE 2002 Symposium on Human Centric Computing Languages and Environments (HCC'02), 2002
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