Benefits and Trade-Offs of Different Model Representations in Decision Support Systems for Non-expert Users - Archive ouverte HAL Access content directly
Conference Papers Year : 2019

Benefits and Trade-Offs of Different Model Representations in Decision Support Systems for Non-expert Users

(1) , (2) , (1) , (1) , (1)
1
2
Francisco Gutiérrez
  • Function : Author
  • PersonId : 1068186
Karsten Seipp
  • Function : Author
  • PersonId : 1068188
Tom Broos
  • Function : Author
  • PersonId : 1068189
Katrien Verbert
  • Function : Author
  • PersonId : 1025954

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.
Fichier principal
Vignette du fichier
488591_1_En_35_Chapter.pdf (2.19 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02544619 , version 1 (16-04-2020)

Licence

Attribution - CC BY 4.0

Identifiers

Cite

Francisco Gutiérrez, Xavier Ochoa, Karsten Seipp, Tom Broos, Katrien Verbert. Benefits and Trade-Offs of Different Model Representations in Decision Support Systems for Non-expert Users. 17th IFIP Conference on Human-Computer Interaction (INTERACT), Sep 2019, Paphos, Cyprus. pp.576-597, ⟨10.1007/978-3-030-29384-0_35⟩. ⟨hal-02544619⟩
36 View
21 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More