Benefits and trade-offs of different model representations in decision support systems for non-expert users

Francisco Gutiérrez, Xavier Ochoa, Karsten Seipp, Tom Broos, Katrien Verbert

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Researchers have reported a lack of experience and low graph literacy as significant problems when making visual analytics applications available to a general audience. Therefore, it is fundamental to understand the strengths and weaknesses of different visualizations in the decision-making process. This paper explores the benefits and challenges of an intuitive, a compact, and a detailed visualization for supporting non-expert users. Using objective and subjective means proposed by earlier work, we determine the benefits and trade-offs of these visualizations for different task complexity levels. We found that while an intuitive visualization can be a good choice for easy level and medium level tasks, hard level tasks are best supported with a richer, yet visually more demanding visualization.

Original languageEnglish (US)
Title of host publicationHuman-Computer Interaction – INTERACT 2019 - 17th IFIP TC 13 International Conference, Proceedings
EditorsDavid Lamas, Fernando Loizides, Lennart Nacke, Helen Petrie, Marco Winckler, Panayiotis Zaphiris
PublisherSpringer Verlag
Pages576-597
Number of pages22
ISBN (Print)9783030293833
DOIs
StatePublished - Jan 1 2019
Event17th IFIP TC13 International Conference on Human-Computer Interaction, INTERACT 2019 - Paphos, Cyprus
Duration: Sep 2 2019Sep 6 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11747 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th IFIP TC13 International Conference on Human-Computer Interaction, INTERACT 2019
CountryCyprus
CityPaphos
Period9/2/199/6/19

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Keywords

  • Decision-making
  • Graph literacy
  • Laymen
  • Visual analytics

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Gutiérrez, F., Ochoa, X., Seipp, K., Broos, T., & Verbert, K. (2019). Benefits and trade-offs of different model representations in decision support systems for non-expert users. In D. Lamas, F. Loizides, L. Nacke, H. Petrie, M. Winckler, & P. Zaphiris (Eds.), Human-Computer Interaction – INTERACT 2019 - 17th IFIP TC 13 International Conference, Proceedings (pp. 576-597). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11747 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-29384-0_35