research-article

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

Authors:

Mingming FanAuthors Info & Claims

ASSETS '23: Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility

Article No.: 46, Pages 1 - 15

https://doi.org/10.1145/3597638.3608423

Published: 22 October 2023 Publication History

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.

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Cited By

Jiang CFan YXie JKuang EZhang KFan M(2024)Designing Unobtrusive Modulated Electrotactile Feedback on Fingertip Edge to Assist Blind and Low Vision (BLV) People in Comprehending ChartsProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642546(1-20)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642546

Index Terms

Understanding Strategies and Challenges of Conducting Daily Data Analysis (DDA) Among Blind and Low-vision People
1. Human-centered computing
  1. Accessibility
    1. Empirical studies in accessibility

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cover image ACM Conferences

ASSETS '23: Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility

October 2023

1163 pages

ISBN:9798400702204

DOI:10.1145/3597638

Copyright © 2023 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 the author(s) 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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SIGACCESS: ACM Special Interest Group on Accessible Computing

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Published: 22 October 2023

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Refereed limited

Funding Sources

National Science Foundation
Guangzhou Science and Technology Program City-University Joint Funding Project
Guangdong Provincial Key Lab of Integrated Communication, Sensing and Computation for Ubiquitous Internet of Things

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ASSETS '23

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SIGACCESS

ASSETS '23: The 25th International ACM SIGACCESS Conference on Computers and Accessibility

October 22 - 25, 2023

NY, New York, USA

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ASSETS '23 Paper Acceptance Rate 55 of 182 submissions, 30%;

Overall Acceptance Rate 436 of 1,556 submissions, 28%

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Cited By

Jiang CFan YXie JKuang EZhang KFan M(2024)Designing Unobtrusive Modulated Electrotactile Feedback on Fingertip Edge to Assist Blind and Low Vision (BLV) People in Comprehending ChartsProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642546(1-20)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642546

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