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Visualizing Competing Items over Time

Published: 06 June 2022 Publication History

Abstract

Choosing between two or more alternatives, ranging from relatively simple alternatives to more complex ones, is a common and important task. Visualization techniques may help users to examine differences between such alternatives. The potential contribution of an adequate visualization may increase as the comparison becomes more complicated, when the compared alternatives include multiple dimensions, and when they are examined over time. We propose a novel visualization technique designed to represent the temporal evolution of multiple dimensions between two competitors at a glance. We exemplify how the visualization supports the comparison of two events according to their changes in eight discrete emotions over time. We report on a study that compared our suggested visualization with two common visualization techniques. User performance and preferences were measured under a formal task taxonomy, using Twitter data of real-world events. The experimental results indicate the effectiveness of our visualization as demonstrated by task completion time and accuracy.

References

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Robert Plutchik, 1980. Emotion: a psychoevolutionary synthesis. New York: Harper & Row.
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Patrick Riehmann, Manfred Hanfler and Bernd Froehlich, 2005. Interactive sankey diagrams. I In Proceedings of IEEE Symposium on Information Visualization, INFOVIS 2005, 233-240.
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Yang Yu and Xiao Wang, 2015. World Cup 2014 in the Twitter World: A Big Data Analysis of Sentiments in US Sports Fans’ Tweets. Computers in Human Behavior, 48, 392–400.
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Florence Y. Wang, Arnaud Sallaberry, Karsten Klein, Masahiro Takatsuka, and Mathieu Roche, 2015. SentiCompass: Interactive visualization for exploring and comparing the sentiments of time-varying Twitter data. In Proceedings of the 8th IEEE Pacific Visualization Symposium, PacificVis’15, 129–133.
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Jian Zhao, Liang Gou, Fei Wang, and Michelle Zhou, 2014. PEARL: An Interactive Visual Analytic Tool for Understanding Personal Emotion Style Derived from Social Media. In Proceedings of the IEEE Conference on Visual Analytics Science and Technology, VAST ‘14, IEEE, 203–212.

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Published In

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AVI '22: Proceedings of the 2022 International Conference on Advanced Visual Interfaces
June 2022
414 pages
ISBN:9781450397193
DOI:10.1145/3531073
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 June 2022

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Author Tags

  1. Evaluation
  2. Visualization techniques

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  • Refereed limited

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AVI 2022

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Overall Acceptance Rate 128 of 490 submissions, 26%

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