%0 Conference Proceedings
%T Benefits and Trade-Offs of Different Model Representations in Decision Support Systems for Non-expert Users
%+ Department of Computer Science (KU Leuven - CS)
%+ Steinhardt School of Culture, Education, and Human Development
%A Gutiérrez, Francisco
%A Ochoa, Xavier
%A Seipp, Karsten
%A Broos, Tom
%A Verbert, Katrien
%Z Part 7: Information Visualization
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 17th IFIP Conference on Human-Computer Interaction (INTERACT)
%C Paphos, Cyprus
%Y David Lamas
%Y Fernando Loizides
%Y Lennart Nacke
%Y Helen Petrie
%Y Marco Winckler
%Y Panayiotis Zaphiris
%I Springer International Publishing
%3 Human-Computer Interaction – INTERACT 2019
%V LNCS-11747
%N Part II
%P 576-597
%8 2019-09-02
%D 2019
%R 10.1007/978-3-030-29384-0_35
%K Visual analytics
%K Laymen
%K Graph literacy
%K Decision-making
%Z Computer Science [cs]Conference papers
%X 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.
%G English
%Z TC 13
%2 https://inria.hal.science/hal-02544619/document
%2 https://inria.hal.science/hal-02544619/file/488591_1_En_35_Chapter.pdf
%L hal-02544619
%U https://inria.hal.science/hal-02544619
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC13
%~ IFIP-INTERACT
%~ IFIP-LNCS-11747