Article

Parallel bargrams for consumer-based information exploration and choice

Authors:

Kent Wittenburg,

Michael Heinrichs,

Michael StantonAuthors Info & Claims

UIST '01: Proceedings of the 14th annual ACM symposium on User interface software and technology

Pages 51 - 60

https://doi.org/10.1145/502348.502357

Published: 11 November 2001 Publication History

Abstract

In this paper we introduce multidimensional visualization and interaction techniques that are an extension to related work in parallel histograms and dynamic querying. Bargrams are, in effect, histograms whose bars have been tipped over and lined up end-to-end. We discuss affordances of parallel bargrams in the context of systems that support consumer-based information exploration and choice based on the attributes of the items in the choice set. Our tool called EZChooser has enabled a number of prototypes in such domains as Internet shopping, investment decisions, college choice, and so on, and a limited version has been deployed for car shopping. Evaluations of the techniques include an experiment indicating that trained users prefer EZChooser over static tables for choice tasks among sets of 50 items with 7-9 attributes.

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Cited By

Oral EChawla RWijkstra MMahyar NDimara E(2024)From Information to Choice: A Critical Inquiry Into Visualization Tools for Decision MakingIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332659330:1(359-369)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TVCG.2023.3326593
Rodgers PChapman PBlake ANöllenburg MWallinger MDobler A(2024)Hoop Diagrams: A Set Visualization MethodDiagrammatic Representation and Inference10.1007/978-3-031-71291-3_31(377-392)Online publication date: 9-Sep-2024
https://doi.org/10.1007/978-3-031-71291-3_31
Alves TDelgado THenriques-Calado JGonçalves DGama S(2023)Exploring the role of conscientiousness on visualization-supported decision-makingComputers & Graphics10.1016/j.cag.2023.01.010111(47-62)Online publication date: Apr-2023
https://doi.org/10.1016/j.cag.2023.01.010
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Index Terms

Parallel bargrams for consumer-based information exploration and choice

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Published In

cover image ACM Conferences

UIST '01: Proceedings of the 14th annual ACM symposium on User interface software and technology

November 2001

242 pages

ISBN:158113438X

DOI:10.1145/502348

Conference Chair:
Joe Marks
Mitsubishi Electric Research Laboratories
,
Program Chair:
Elizabeth Mynatt
Georgia Institute of Technology

Copyright © 2001 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 11 November 2001

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UIST01: ACM Symposium on User Interface Software and Technology

November 11 - 14, 2001

Florida, Orlando

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Overall Acceptance Rate 561 of 2,567 submissions, 22%

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Cited By

Oral EChawla RWijkstra MMahyar NDimara E(2024)From Information to Choice: A Critical Inquiry Into Visualization Tools for Decision MakingIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332659330:1(359-369)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TVCG.2023.3326593
Rodgers PChapman PBlake ANöllenburg MWallinger MDobler A(2024)Hoop Diagrams: A Set Visualization MethodDiagrammatic Representation and Inference10.1007/978-3-031-71291-3_31(377-392)Online publication date: 9-Sep-2024
https://doi.org/10.1007/978-3-031-71291-3_31
Alves TDelgado THenriques-Calado JGonçalves DGama S(2023)Exploring the role of conscientiousness on visualization-supported decision-makingComputers & Graphics10.1016/j.cag.2023.01.010111(47-62)Online publication date: Apr-2023
https://doi.org/10.1016/j.cag.2023.01.010
Dennig FFischer MBlumenschein MFuchs JKeim DDimara E(2021)ParSetgnostics: Quality Metrics for Parallel SetsComputer Graphics Forum10.1111/cgf.1431440:3(375-386)Online publication date: 29-Jun-2021
https://doi.org/10.1111/cgf.14314
Laurillau YCoutaz JNguyen VCalvary GLlerena D(2021)Objective Evaluation of Subjective Metrics for Interactive Decision-Making Tasks by Non-expertsHuman-Computer Interaction – INTERACT 202110.1007/978-3-030-85613-7_27(384-403)Online publication date: 26-Aug-2021
https://doi.org/10.1007/978-3-030-85613-7_27
Oh SKim S(2020)A Study on Decision Making by Visualization with Food Nutrition InformationJournal of Digital Contents Society10.9728/dcs.2020.21.2.35721:2(357-364)Online publication date: 29-Feb-2020
https://doi.org/10.9728/dcs.2020.21.2.357
Angelini MBlasilli GLenti SPalleschi ASantucci G(2020)CrossWidgetsProceedings of the 2020 International Conference on Advanced Visual Interfaces10.1145/3399715.3399918(1-9)Online publication date: 28-Sep-2020
https://dl.acm.org/doi/10.1145/3399715.3399918
Laurillau YNguyen VCoutaz JCalvary GMandran NCamara FBalzarini RBratteteig TSandnes FBerget G(2018)The TOP-slider for multi-criteria decision making by non-specialistsProceedings of the 10th Nordic Conference on Human-Computer Interaction10.1145/3240167.3240185(642-653)Online publication date: 29-Sep-2018
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Dimara EBezerianos ADragicevic P(2018)Conceptual and Methodological Issues in Evaluating Multidimensional Visualizations for Decision SupportIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2017.274513824:1(749-759)Online publication date: Jan-2018
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Chen JZhang DChen YQian Z(2017)Employing Relation Visualizations to Enhance the Shopping Experience on a Used Car Trading PlatformHCI in Business, Government and Organizations. Supporting Business10.1007/978-3-319-58484-3_2(16-28)Online publication date: 13-May-2017
https://doi.org/10.1007/978-3-319-58484-3_2
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