Spatial distance and cartographic background complexity in graduated point symbol map-reading task
Bibliographic Data
| ID | 12751026 |
|---|---|
| Authors | Paweł Cybulski (0000-0002-5514-5720, Adam Mickiewicz University in Poznań, corresponding author) |
| Year | 2020 |
| Volume | 47 |
| Issue | 3 |
| Pages | 244-260 |
| Publication date | 2020-01-09 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Cartography and Geographic Information Science (JOURNAL) |
| Journal identifiers | ISSN: 1523-0406 • E-ISSN: 1545-0465 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/15230406.2019.1702102 |
| OpenAlex | W2999224333 |
| Language | EN |
| Citations received | 12 |
| References cited | 50 |
Effectiveness and efficiency of graduated point symbol maps could be affected by several factors. One of them is the spatial distance between symbols. This study conducted an experiment with two map-reading tasks. The first compared two circular symbols, deciding which one is larger. The second task was to order three symbols from smallest to largest. There were four spatial distance conditions between compared symbols along with four different visually complex cartographic backgrounds (with more and more information). The study recorded the participants’ eye movements. Eye-tracking metrics captured participants’ visual strategy during map-reading tasks. The results show that when comparing symbol size, spatial distance affects the effectiveness and efficiency of comparing symbols of graduated point symbol maps despite the rising complexity of the cartographic background. Increased spatial distance between symbols causes the rise of participants’ fixation in general. This study helps to understand visual strategy while comparing symbols on graduated point symbol maps and could support map designers
Cartography · Computer vision · Eye tracking · Fixation (population genetics · Fixation point · Geography · Linguistics · Point (geometry · Reading (process · Symbol (formal · Task (project management · Computer Science · Gaze Tracking and Assistive Technology · Mathematics · Safety Warnings and Signage · Spatial Cognition and Navigation · Artificial Intelligence
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| Unique citing works | 12 |
|---|---|
| Citations per year | 2 |
| Citation span | 2020 - 2026 (7) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 12 |