Evaluating multivariate visualizations as multi-objective decision aids

Meirav Taieb-Maimon, Lior Limonad, David Amid, David Boaz, Ateret Anaby-Tavor

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

2 Scopus citations

Abstract

When choosing a solution, decision makers are often required to account for multiple conflicting objectives. This is a situation that can result in a potentially huge number of candidate solutions. Despite the wide selection of multivariate visualizations that can potentially help decide between various candidates, no designated means exist to assess the effectiveness of these visualizations under different circumstances. As a first contribution in this work, we developed a method to evaluate different types of multivariate visualization. The method focuses on the visualization's ability to facilitate a better understanding of inter-objective trade-offs as a proxy to more sensible decision making. We used the method to evaluate two existing visualization aids: Parallel-Coordinates and an adaptation of Self Organizing Maps (SOM). Both visualizations were compared with tabular data presentation. Our results show that the first visualization is more effective than a plain tabular visualization for the purpose of multi-objective decision making.

Original languageEnglish
Title of host publicationHuman-Computer Interaction, INTERACT 2013 - 14th IFIP TC 13 International Conference, Proceedings
Pages419-436
Number of pages18
EditionPART 1
DOIs
StatePublished - 5 Sep 2013
Event14th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2013 - Cape Town, South Africa
Duration: 2 Sep 20136 Sep 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume8117 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2013
Country/TerritorySouth Africa
CityCape Town
Period2/09/136/09/13

Keywords

  • Information Visualization
  • Multi-criterion decision making
  • Multivariate visualizations
  • Usage experience evaluation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)

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