On Effects of Changing Multi-attribute Table Design on Decision Making: An Eye-Tracking Study

Takashi Ideno, Masahiro Morii, Kazuhisa Takemura, Mitsuhiro Okada

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

Abstract

Information tables are often used for decision making. This study considers multi-attribute table designs from a diagrammatic perspective. We used two experiments to show how the decision-making strategies and performance are changed based on table design changes, using the eye-tracking method. We employed a multi-attribute catalog table with alternatives presented along the horizontal axis and attributes along the vertical axis in Experiment 1 and the opposite layout in Experiment 2. In each experiment, we used four different types of representations of the attribute values, and these values were restricted to two levels for comparison with previous works. The four types used were: (i) numerical representations, (ii) textual representations, (iii) black-and-white representations with black representing better values, and (iv) black-and-while representations with white representing better values. Our results suggest, among others, that (1) placing the alternatives along the vertical axis makes the table easier to decide in comparison to the opposite layout, and that (2) the two-stage decision strategy is taken with numerical representations and textual representations, while a single stage strategy is taken with the black-and-white representations. We also showed how the graphic black-and-white representations made decision-making easier, and how the order changes of alternatives and of attributes of a table influenced decision makers’ decision.

Original languageEnglish
Title of host publicationDiagrammatic Representation and Inference - 11th International Conference, Diagrams 2020, Proceedings
EditorsAhti-Veikko Pietarinen, Peter Chapman, Leonie Bosveld-de Smet, Valeria Giardino, James Corter, Sven Linker
PublisherSpringer
Pages365-381
Number of pages17
ISBN (Print)9783030542481
DOIs
Publication statusPublished - 2020
Event11th International Conference on the Theory and Application of Diagrams, Diagrams 2020 - Tallinn, Estonia
Duration: 2020 Aug 242020 Aug 28

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12169 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on the Theory and Application of Diagrams, Diagrams 2020
CountryEstonia
CityTallinn
Period20/8/2420/8/28

Keywords

  • Decision making
  • Eye-tracking
  • Multi-attribute table design

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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