An Eye-Tracking Study on the Effects of Using Highlighted Multi-attribute Tables: A Preliminary Report

Masahiro Morii, Takashi Ideno, Yuki Tamari, Kazuhisa Takemura, Mitsuhiro Okada

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Our previous research, aimed at improving the design of multi-attribute tables (such as product catalogs), found that black-and-white graphics aided decision-making more than numerical or textual formats (Ideno et al., Diagrams 2020). We extended these findings by examining how combining graphic and numerical presentation (highlighting the cells with superior values) influences decision-making. Twenty-one participants chose the most desirable digital cameras from five alternatives. Results showed faster decision-making with highlighted cells compared to non-highlighted ones. A two-stage decision strategy emerged, with more attribute-based gaze shifts initially and equal vertical and horizontal shifts later. We discussed the implications and prospects of highlighted multi-attribute tables.

Original languageEnglish
Title of host publicationDiagrammatic Representation and Inference - 14th International Conference, Diagrams 2024, Proceedings
EditorsJens Lemanski, Reetu Bhattacharjee, Mikkel Willum Johansen, Emmanuel Manalo, Petrucio Viana, Richard Burns
PublisherSpringer Science and Business Media Deutschland GmbH
Pages467-471
Number of pages5
ISBN (Print)9783031712906
DOIs
Publication statusPublished - 2024
Event14th International Conference on the Theory and Application of Diagrams, DIAGRAMS 2024 - Münster, Germany
Duration: 27 Sept 20241 Oct 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14981 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th International Conference on the Theory and Application of Diagrams, DIAGRAMS 2024
Country/TerritoryGermany
CityMünster
Period27/09/241/10/24

Keywords

  • Decision-making
  • Eye-movements
  • Highlighted multi-attribute table

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