abstract

Data in Context: Engaging Audiences with 3D Physical Geo-Visualization

Authors:

Nurit Kirshenbaum,

James Hutchison,

Dylan Kobayashi,

Jason LeighAuthors Info & Claims

CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

Pages 1 - 9

https://doi.org/10.1145/3334480.3382968

Published: 25 April 2020 Publication History

Abstract

Geo-visualizations are invaluable aids for communicating complex scenarios that place data in spatial location and across time. With the advancement of 3D fabrication (and future potential for actuated displays,) more installations opt to project geo-visualization data on physical objects to provide an additional layer of context. In this paper, we set out to compare the effectiveness and user engagement of geo-visualizations data projected on either a flat 2D surface or a 3D representation of the terrain. We present our methodology and observations from this study. Our results so far are inconclusive, which leads us the propose that physical geo-visualization is a thriving field for further research.

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Cited By

Perelman GSerrano MDubois E(2024)Exploiting Physical Referent Features as Input for Multidimensional Data Selection in Augmented RealityACM Transactions on Computer-Human Interaction10.1145/364861331:4(1-40)Online publication date: 19-Sep-2024
https://dl.acm.org/doi/10.1145/3648613
Queiroz VDos Santos DDe Sousa TMonteiro WDe Araújo TMeiguins B(2023)Adding Visual Data and Interactions for Dynamic Data Physicalization with Augmented Reality2023 27th International Conference Information Visualisation (IV)10.1109/IV60283.2023.00022(71-76)Online publication date: 25-Jul-2023
https://doi.org/10.1109/IV60283.2023.00022
Li JWang Z(2022)An Interactive Augmented Reality Graph Visualization for Chinese PaintersElectronics10.3390/electronics1115236711:15(2367)Online publication date: 28-Jul-2022
https://doi.org/10.3390/electronics11152367
Show More Cited By

Index Terms

Data in Context: Engaging Audiences with 3D Physical Geo-Visualization
1. Human-centered computing
  1. Visualization
    1. Empirical studies in visualization
    2. Visualization application domains
      1. Geographic visualization

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Published In

cover image ACM Conferences

CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

April 2020

4474 pages

ISBN:9781450368193

DOI:10.1145/3334480

General Chairs:
Regina Bernhaupt
Eindhoven University of Technology, Netherlands
,
Florian 'Floyd' Mueller
Monash University, Australia
,
David Verweij
Newcastle University, UK
,
Josh Andres
RMIT, Australia
,
Program Chairs:
Joanna McGrenere
University of British Columbia, Canada
,
Andy Cockburn
University of Canterbury, New Zealand
,
Ignacio Avellino
University of Maryland Baltimore County, USA
,
Alix Goguey
Grenoble Alpes University, France
,
Pernille Bjørn
University of Copenhagen, Denmark
,
Shengdong (Shen) Zhao
National University of Singapore, Singapore
,
Briane Paul Samson
Future University Hakodate, Japan & De La Salle University, Philippines
,
Rafal Kocielnik
University of Washington, USA

Copyright © 2020 Owner/Author.

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 April 2020

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Abstract

Funding Sources

Hawaii State Energy Office
Academy for Creative Media System at the University of Hawaii at Manoa

Conference

CHI '20

Sponsor:

SIGCHI

CHI '20: CHI Conference on Human Factors in Computing Systems

April 25 - 30, 2020

HI, Honolulu, USA

Acceptance Rates

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

Upcoming Conference

CHI 2025

Sponsor:
sigchi

ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

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Cited By

Perelman GSerrano MDubois E(2024)Exploiting Physical Referent Features as Input for Multidimensional Data Selection in Augmented RealityACM Transactions on Computer-Human Interaction10.1145/364861331:4(1-40)Online publication date: 19-Sep-2024
https://dl.acm.org/doi/10.1145/3648613
Queiroz VDos Santos DDe Sousa TMonteiro WDe Araújo TMeiguins B(2023)Adding Visual Data and Interactions for Dynamic Data Physicalization with Augmented Reality2023 27th International Conference Information Visualisation (IV)10.1109/IV60283.2023.00022(71-76)Online publication date: 25-Jul-2023
https://doi.org/10.1109/IV60283.2023.00022
Li JWang Z(2022)An Interactive Augmented Reality Graph Visualization for Chinese PaintersElectronics10.3390/electronics1115236711:15(2367)Online publication date: 28-Jul-2022
https://doi.org/10.3390/electronics11152367
Satriadi KSmiley JEns BCordeil MCzauderna TLee BYang YDwyer TJenny B(2022)Tangible Globes for Data Visualisation in Augmented RealityProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517715(1-16)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3517715
McLean JCleveland SRotzoll KIzuka SLeigh JJacobs GTheriot R(2022)The Hawai`i Groundwater Recharge ToolConcurrency and Computation: Practice and Experience10.1002/cpe.684335:18Online publication date: 27-Jan-2022
https://doi.org/10.1002/cpe.6843
Herman BOmdal MZeller SRichter CSamsel FAbram GKeefe D(2021)Multi-Touch Querying on Data Physicalizations in Immersive ARProceedings of the ACM on Human-Computer Interaction10.1145/34885425:ISS(1-20)Online publication date: 5-Nov-2021
https://dl.acm.org/doi/10.1145/3488542
Djavaherpour HSamavati FMahdavi‐Amiri AYazdanbakhsh FHuron SLevy RJansen YOehlberg L(2021)Data to Physicalization: A Survey of the Physical Rendering ProcessComputer Graphics Forum10.1111/cgf.1433040:3(569-598)Online publication date: 29-Jun-2021
https://doi.org/10.1111/cgf.14330
Theriot RHutchison JKirshenbaum NLeigh J(2020)Tailoring Data Visualization to Diversely Informed End UsersPractice and Experience in Advanced Research Computing 2020: Catch the Wave10.1145/3311790.3396630(304-310)Online publication date: 26-Jul-2020
https://dl.acm.org/doi/10.1145/3311790.3396630

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