Abstract This study investigates how expert and novice map users’ attention is influenced by the map design characteristics of 2D web maps by building and sharing a framework to analyze large volumes of eye tracking data. In this context, we developed an automated area-of-interest (AOI) analysis framework to evaluate participants’ fixation durations, and to assess the influence of linear and polygonal map features on spatial memory. The dataset entitled CartoGAZE is publicly available.
Full citation (dataset) with DOI Keskin, Merve, 2023, “CartoGAZE”, https://doi.org/10.7910/DVN/ONIAZI , Harvard Dataverse, V1
Related articles Keskin M, Krassanakis V, Çöltekin A. Visual Attention and Recognition Differences Based on Expertise in a Map Reading and Memorability Study. ISPRS International Journal of Geo-Information. 2023; 12(1):21.
https://www.mdpi.com/2220-9964/12/1/21
