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

doi:10.1007/978-3-030-29384-0_35

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

Administration, Leadership & Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Human-Computer Interaction – INTERACT 2019 - 17th IFIP TC 13 International Conference, Proceedings
Editors	David Lamas, Fernando Loizides, Lennart Nacke, Helen Petrie, Marco Winckler, Panayiotis Zaphiris
Publisher	Springer Verlag
Pages	576-597
Number of pages	22
ISBN (Print)	9783030293833
DOIs	https://doi.org/10.1007/978-3-030-29384-0_35
State	Published - 2019
Event	17th IFIP TC13 International Conference on Human-Computer Interaction, INTERACT 2019 - Paphos, Cyprus Duration: Sep 2 2019 → Sep 6 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11747 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th IFIP TC13 International Conference on Human-Computer Interaction, INTERACT 2019
Country/Territory	Cyprus
City	Paphos
Period	9/2/19 → 9/6/19

Keywords

Decision-making
Graph literacy
Laymen
Visual analytics

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-030-29384-0_35

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

Benefits and trade-offs of different model representations in decision support systems for non-expert users. / Gutiérrez, Francisco; Ochoa, Xavier; Seipp, Karsten et al.
Human-Computer Interaction – INTERACT 2019 - 17th IFIP TC 13 International Conference, Proceedings. ed. / David Lamas; Fernando Loizides; Lennart Nacke; Helen Petrie; Marco Winckler; Panayiotis Zaphiris. Springer Verlag, 2019. p. 576-597 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11747 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11747 LNCS, Springer Verlag, pp. 576-597, 17th IFIP TC13 International Conference on Human-Computer Interaction, INTERACT 2019, Paphos, Cyprus, 9/2/19. https://doi.org/10.1007/978-3-030-29384-0_35

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

Gutiérrez, Francisco ; Ochoa, Xavier ; Seipp, Karsten et al. / Benefits and trade-offs of different model representations in decision support systems for non-expert users. Human-Computer Interaction – INTERACT 2019 - 17th IFIP TC 13 International Conference, Proceedings. editor / David Lamas ; Fernando Loizides ; Lennart Nacke ; Helen Petrie ; Marco Winckler ; Panayiotis Zaphiris. Springer Verlag, 2019. pp. 576-597 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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

Abstract

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Conference

Keywords

ASJC Scopus subject areas

Access to Document

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