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A comparison of the performance on extrinsic and intrinsic cartographic visualizations through correctness, response time and cognitive processing
- Source :
- PLoS ONE, PLoS ONE, Vol 16, Iss 4, p e0250164 (2021)
- Publication Year :
- 2020
-
Abstract
- The aim of this study was to compare the performance of two bivariate visualizations by measuring response correctness (error rate) and response time, and to identify the differences in cognitive processes involved in map-reading tasks by using eye-tracking methods. The present study is based on our previous research and the hypothesis that the use of different visualization methods may lead to significant cognitive-processing differences. We applied extrinsic and intrinsic visualizations in the study. Participants in the experiment were presented maps which depicted two variables (soil moisture and soil depth) and asked to identify the areas which displayed either a single condition (e.g., “find an area with low soil depth”) or both conditions (e.g., “find an area with high soil moisture and low soil depth”). The research sample was composed of 31 social sciences and humanities university students. The experiment was performed under laboratory conditions, and Hypothesis software was used for data collection. Eye-tracking data were collected for 23 of the participants. An SMI RED-m eye-tracker was used to determine whether either of the two visualization methods was more efficient for solving the given map-reading tasks. Our results showed that with the intrinsic visualization method, the participants spent significantly more time with the map legend. This result suggests that extrinsic and intrinsic visualizations induce different cognitive processes. The intrinsic method was observed to generally require more time and led to higher error rates. In summary, the extrinsic method was found to be more efficient than the intrinsic method, although the difference was less pronounced in the tasks which contained two variables, which proved to be better suited to intrinsic visualization.
- Subjects :
- Male
010504 meteorology & atmospheric sciences
genetic structures
Eye Movements
Computer science
Vision
Physiology
Visual System
Sensory Physiology
0211 other engineering and technologies
Word error rate
Social Sciences
02 engineering and technology
01 natural sciences
Systems Science
Cognition
Psychology
Data Management
Multidisciplinary
Geography
Information processing
Sensory Systems
Physical Sciences
Medicine
Female
Sensory Perception
Research Article
Adult
Cartography
Computer and Information Sciences
Science
Bivariate analysis
Humanities
Young Adult
Data visualization
Reaction Time
Humans
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Data collection
Color Vision
business.industry
Data Visualization
Cognitive Psychology
Response time
Biology and Life Sciences
Pattern recognition
Visualization
Reading
Earth Sciences
Cognitive Science
Perception
Artificial intelligence
business
Mathematics
Neuroscience
Dwell Time
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 16
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- PloS one
- Accession number :
- edsair.doi.dedup.....8b087e75fbc23a1ec52dbe30256766aa