research-article

Tactile Presentation of Network Data: Text, Matrix or Diagram?

Authors:

Matthew Butler,

Leona HollowayAuthors Info & Claims

CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Pages 1 - 12

https://doi.org/10.1145/3313831.3376367

Published: 23 April 2020 Publication History

Abstract

Visualisations are commonly used to understand social, biological and other kinds of networks. Currently we do not know how to effectively present network data to people who are blind or have low-vision (BLV). We ran a controlled study with 8 BLV participants comparing four tactile representations: organic node-link diagram, grid node-link diagram, adjacency matrix and braille list. We found that the node-link representations were preferred and more effective for path following and cluster identification while the matrix and list were better for adjacency tasks. This is broadly in line with findings for the corresponding visual representations.

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## Tables_in_the_paper.xlsx All tables in the paper in raw format. This is also considered to be more accessible than embedding all tables into a PDF file. ## User_study_stimulus.pdf Stimulus for four participant groups. Balanced Latin Square design was used. In this document, we also include which part we highlighted using sticky plasticine as targets. ## Photo_of_representations_on_a4_size_swell_papers.pdf Photos of all stimulus on A4 sized swell papers.

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Cited By

Zhao YNacenta MSukhai MSomanath S(2024)TADA: Making Node-link Diagrams Accessible to Blind and Low-Vision PeopleProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642222(1-20)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642222
Alcaraz-Martínez RRibera MAdeva-Fillol APascual-Almenara A(2024)Enhancing statistical chart accessibility for people with low vision: insights from a user testUniversal Access in the Information Society10.1007/s10209-024-01111-4Online publication date: 8-May-2024
https://doi.org/10.1007/s10209-024-01111-4
Wu K(2023)Designing Accessible Visualizations for People with Intellectual and Developmental DisabilitiesExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3577048(1-5)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544549.3577048
Show More Cited By

Index Terms

Tactile Presentation of Network Data: Text, Matrix or Diagram?
1. Human-centered computing
  1. Accessibility
    1. Accessibility technologies
    2. Empirical studies in accessibility
  2. Visualization
    1. Visualization application domains
      1. Information visualization

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cover image ACM Conferences

CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

April 2020

10688 pages

ISBN:9781450367080

DOI:10.1145/3313831

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

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Publication History

Published: 23 April 2020

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Australian Research Council

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CHI '20

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

April 25 - 30, 2020

HI, Honolulu, USA

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Cited By

Zhao YNacenta MSukhai MSomanath S(2024)TADA: Making Node-link Diagrams Accessible to Blind and Low-Vision PeopleProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642222(1-20)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642222
Alcaraz-Martínez RRibera MAdeva-Fillol APascual-Almenara A(2024)Enhancing statistical chart accessibility for people with low vision: insights from a user testUniversal Access in the Information Society10.1007/s10209-024-01111-4Online publication date: 8-May-2024
https://doi.org/10.1007/s10209-024-01111-4
Wu K(2023)Designing Accessible Visualizations for People with Intellectual and Developmental DisabilitiesExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3577048(1-5)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544549.3577048
Kim JSrinivasan AKim NKim Y(2023)Exploring Chart Question Answering for Blind and Low Vision UsersProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581532(1-15)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581532
Wu KTran MPetersen EKoushik VSzafir D(2023)Data, Data, Everywhere: Uncovering Everyday Data Experiences for People with Intellectual and Developmental DisabilitiesProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581204(1-17)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581204
Kim GKim JKim Y(2023)“Explain What a Treemap is”: Exploratory Investigation of Strategies for Explaining Unfamiliar Chart to Blind and Low Vision UsersProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581139(1-13)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581139
Rong ALi G(2023)Visually Impaired Children with Special Educational Needs: Identifying Suitable Tactile Graphics Learning MaterialsSHS Web of Conferences10.1051/shsconf/202317401003174(01003)Online publication date: 11-Aug-2023
https://doi.org/10.1051/shsconf/202317401003
Joyner SRiegelhuth AGarrity KKim YKim N(2022)Visualization Accessibility in the Wild: Challenges Faced by Visualization DesignersProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517630(1-19)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3517630
Wang RJung CKim Y(2022)Seeing Through Sounds: Mapping Auditory Dimensions to Data and Charts for People with Visual ImpairmentsComputer Graphics Forum10.1111/cgf.1452341:3(71-83)Online publication date: 12-Aug-2022
https://doi.org/10.1111/cgf.14523
Jung CMehta SKulkarni AZhao YKim Y(2022)Communicating Visualizations without Visuals: Investigation of Visualization Alternative Text for People with Visual ImpairmentsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.311484628:1(1095-1105)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1109/TVCG.2021.3114846
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