Yalong Yang
Monash University & Harvard University, Melbourne, VIC, Australia
Visualisations are commonly used to understand social, biological and other kinds of networks. Currently we do not know how to effectively present network data to people who are blind or have low-vision (BLV). We ran a controlled study with 8 BLV participants comparing four tactile representations: organic node-link diagram, grid node-link diagram, adjacency matrix and braille list. We found that the node-link representations were preferred and more effective for path following and cluster identification while the matrix and list were better for adjacency tasks. This is broadly in line with findings for the corresponding visual representations.
https://doi.org/10.1145/3313831.3376367
The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)