five

A Spatial Knowledge Acquisition Comparison Between Digital Visual Thematic Maps, Non-Visual Interactive Text Thematic Maps, and Tables

收藏
DataCite Commons2026-04-22 更新2026-05-03 收录
下载链接:
https://www.openicpsr.org/openicpsr/project/247550/view
下载链接
链接失效反馈
官方服务:
资源简介:
Unzip the file in this project, and review the readme.md for instructions. The HTML file will show the output of all the results, but you can review the raw data in the Excel files, and R code as well if desired.<br>Digital maps are used to communicate generalized spatial information and relationships, yet are commonly made “accessible” using tables that lack geographic information. This study examines whether these tables and interactive text maps (ITMs) may be comparable to visual maps. Twenty sighted and 20 blind and low-vision individuals (BLVIs) performed tasks designed to compare visual maps, ITMs, and tables. Participants answered numeric, geographic, and combined numeric geographic questions using each representation, and performance, preference, and NASA-TLX were measured. Across both participant groups, map representations (visual and ITMs) significantly outperformed tables on geographic-based questions, while performance differences were minimal for numeric questions. For sighted participants, performance on geographic questions did not significantly differ between visual maps and ITMs, indicating that a larger powered study may find an “equivalent purpose” across these two conditions. Participants preferred map-based representations over tables. Perceived workload was highest for the ITM, intermediate for the visual map, and lowest for the table. Consistent with the Map Equivalent Purpose Framework, these findings indicate that Web Content Accessibility Guidelines-compliant ITMs can provide access to spatial information, unlike tables. These findings challenge prevailing accessibility practice that recommends tables lacking geographic information as map alternatives, and motivate reconsideration of accessibility legislation exempting digital thematic maps.<br>Here is the Github site:https://github.com/xrnavigation/tvm-study<br>
提供机构:
ICPSR - Interuniversity Consortium for Political and Social Research
创建时间:
2026-04-22
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作