Name
Title | ||
|---|---|---|
Understanding Data Accessibility for People with Intellectual and Developmental Disabilities |
Abstract | ||
|---|---|---|
ABSTRACT Using visualization requires people to read abstract visual imagery, estimate statistics, and retain information. However, people with Intellectual and Developmental Disabilities (IDD) often process information differently, which may complicate connecting abstract visual information to real-world quantities. This population has traditionally been excluded from visualization design, and often has limited access to data related to their well being. We explore how visualizations may better serve this population. We identify three visualization design elements that may improve data accessibility: chart type, chart embellishment, and data continuity. We evaluate these elements with populations both with and without IDD, measuring accuracy and efficiency in a web-based online experiment with time series and proportion data. Our study identifies performance patterns and subjective preferences for people with IDD when reading common visualizations. These findings suggest possible solutions that may break the cognitive barriers caused by conventional design guidelines. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1145/3411764.3445743 | Conference on Human Factors in Computing Systems |
DocType | Citations | PageRank |
Conference | 2 | 0.37 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Keke Wu | 1 | 6 | 1.09 |
| Emma Petersen | 2 | 2 | 0.37 |
| Tahmina Ahmad | 3 | 2 | 0.37 |
| David Burlinson | 4 | 11 | 4.41 |
| Shea Tanis | 5 | 2 | 0.37 |
| Danielle Albers Szafir | 6 | 63 | 10.60 |