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 language | English |
|---|---|
| Title of host publication | ASSETS 2023 - Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility |
| Publisher | Association for Computing Machinery, Inc |
| ISBN (Electronic) | 9798400702204 |
| DOIs | |
| Publication status | Published - 22 Oct 2023 |
| Event | 25th International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS 2023 - New York, United States Duration: 23 Oct 2023 → 25 Oct 2023 |
Publication series
| Name | ASSETS 2023 - Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility |
|---|
Conference
| Conference | 25th International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS 2023 |
|---|---|
| Country/Territory | United States |
| City | New York |
| Period | 23/10/23 → 25/10/23 |
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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