Understanding Strategies and Challenges of Conducting Daily Data Analysis (DDA) Among Blind and Low-vision People

Chutian Jiang, Wentao Lei, Emily Kuang, Teng Han, Mingming Fan*

*Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

Abstract

Being able to analyze and derive insights from data, which we call Daily Data Analysis (DDA), is an increasingly important skill in everyday life. While the accessibility community has explored ways to make data more accessible to blind and low-vision (BLV) people, little is known about how BLV people perform DDA. Knowing BLV people's strategies and challenges in DDA would allow the community to make DDA more accessible to them. Toward this goal, we conducted a mixed-methods study of interviews and think-aloud sessions with BLV people (N=16). Our study revealed five key approaches for DDA (i.e., overview obtaining, column comparison, key statistics identification, note-taking, and data validation) and the associated challenges. We discussed the implications of our findings and highlighted potential directions to make DDA more accessible for BLV people.

Original languageEnglish
Title of host publicationASSETS 2023 - Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9798400702204
DOIs
Publication statusPublished - 22 Oct 2023
Event25th International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS 2023 - New York, United States
Duration: 23 Oct 202325 Oct 2023

Publication series

NameASSETS 2023 - Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility

Conference

Conference25th International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS 2023
Country/TerritoryUnited States
CityNew York
Period23/10/2325/10/23

Bibliographical note

Publisher Copyright:
© 2023 ACM.

Keywords

  • blind and low vision
  • BLV
  • daily data analysis
  • data accessibility
  • data exploration
  • DDA
  • interview
  • qualitative study
  • think-aloud

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