Empirical evidence that algorithm animation promotes understanding of distributed algorithms

Tudoreanu, M. Eduard; Wu, Rui; Hamilton-Taylor, Ashley George; Kraemer, Eileen

doi:10.1109/hcc.2002.1046376

Cited by 12 publications

(14 citation statements)

References 8 publications

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“…Much of the research has focused on the active learning the viewer engages in to understand an algorithm. A few, however, provided a thoughtfully designed visualization that considered the cognitive, perceptual and attentional factors of viewer comprehension [3,10].…”

Section: Related Workmentioning

confidence: 99%

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A system for investigating characteristics that make effective visualizations

Reed¹

2006

Proceedings of the 44th Annual Southeast Regional Conference

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We describe SSEA, a System for Studying the Effectiveness of Animations. It was created as a testing environment for studying the effects of various attributes in visualization design on viewer comprehension. Researchers can create a series of animations in SSEA with a design characteristic in mind. SSEA allows these animations to be viewed while recording the viewer's interactions and responses to questions about the underlying algorithm. At the conclusion of running all experiments, the researchers can examine the log files generated, and performe analysis of the responses and timings with respect to the attribute being examined.

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Section: Related Workmentioning

confidence: 99%

“…Experiments conducted by Tudoreanu, et al [10] used a testing environment and visualizations designed to reduce the cognitive load. They concluded that viewers of these visualizations performed significantly better than the participants without visualization.…”

Section: Related Workmentioning

confidence: 99%

A system for investigating characteristics that make effective visualizations

Reed¹

2006

Proceedings of the 44th Annual Southeast Regional Conference

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“…Empirical studies of the effectiveness of program visualizations for teaching computer algorithms have had mixed results, with some studies showing advantages for the use of animations [7,12,13,18], some showing benefits at least partially attributable to visualization [2,9], other studies failing to show clear benefit [15,16], and at least one study showing a significant disadvantage to the use of visualization [14]. A good survey and "meta-study" of studies conducted prior to 2002 can be found in [10].…”

Section: Related Workmentioning

confidence: 99%

VizEval: An Experimental System for the Study of Program Visualization Quality

Rhodes

Kraemer

Hamilton-Taylor

et al. 2006

Visual Languages and Human-Centric Computing (VL/HCC'06)

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The VizEval Suite * is an environment designed to support experimentation with and evaluation of program visualization attributes that affect the user's ability to grasp essential concepts. In this paper, we describe the VizEval Suite and an initial experiment conducted both as a test-bed of the VizEval Suite and to study how perceptual/cognitive characteristics of the visualization affect the users' understanding of the program visualization. VizEval is designed to simplify the creation and analysis of such studies. Our experimental results show that some perceptual/cognitive characteristics that help one task (e.g., detection of critical information) may harm another (e.g., localization of critical items), and vice versa. The VizEval software is available for download at

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“…[42], an algorithm for distributed systems was used. The experiment's subjects were again divided into two groups.…”

Section: Related Experimental Studiesmentioning

confidence: 99%

JAVENGA: JAva‐based Visualization Environment for Network and Graph Algorithms

Baloukas

2012

Comp Applic In Engineering

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This paper presents JAVENGA, which is an acronym for JAva-based Visualization Environment for Network and Graph Algorithms. It is a new visualization software for educational purposes. It includes visualizations of many well-known graph and network algorithms. However, besides simple algorithms the tool also illustrates a visualization of a quite complex one, such as the Network Simplex algorithm. The recommended tool includes a graph editor where directed and undirected graphs can be drawn, it allows users to give input to an algorithm and then see its visualization in a user-controlled way, and finally it incorporates a solution window where one can see the values of variables at each step of algorithm execution. JAVENGA, as its name states, has been implemented in Java language and it can be run either as an applet or as a Java application. Further, one can execute the program either locally or remotely via the Web. It can be used by instructors as auxiliary teaching material in the context of a graph theory or network optimization course. Besides, instructors can use the tool to grade students' assignments or exams. Students can also use the software in a self-learning approach. ß

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Empirical evidence that algorithm animation promotes understanding of distributed algorithms

Cited by 12 publications

References 8 publications

A system for investigating characteristics that make effective visualizations

A system for investigating characteristics that make effective visualizations

VizEval: An Experimental System for the Study of Program Visualization Quality

JAVENGA: JAva‐based Visualization Environment for Network and Graph Algorithms

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