Visualizing Competing Items over Time

Julia Sheidin, Joel Lanir, Tsvi Kuflik

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings of the Working Conference on Advanced Visual Interfaces, AVI 2022
EditorsPaolo Bottoni, Emanuele Panizzi
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450397193
DOIs
StatePublished - 6 Jun 2022
Event16th International Conference on Advanced Visual Interfaces, AVI 2022 - Frascati, Italy
Duration: 6 Jun 202210 Jun 2022

Publication series

NameACM International Conference Proceeding Series

Conference

Conference16th International Conference on Advanced Visual Interfaces, AVI 2022
Country/TerritoryItaly
CityFrascati
Period6/06/2210/06/22

Bibliographical note

Publisher Copyright:
© 2022 Owner/Author.

Keywords

  • Evaluation
  • Visualization techniques

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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