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Assessing Map-Reading Skills Using Eye Tracking and Bayesian Structural Equation Modelling

1
Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Research Center of Geospatial Cognition and Visual Analytics and Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
2
Chair of Cartography, Technical University of Munich, 80333 Munich, Germany
*
Author to whom correspondence should be addressed.
Sustainability 2018, 10(9), 3050; https://0-doi-org.brum.beds.ac.uk/10.3390/su10093050
Received: 5 August 2018 / Revised: 24 August 2018 / Accepted: 24 August 2018 / Published: 28 August 2018
Map reading is an important skill for acquiring spatial information. Previous studies have mainly used results-based assessments to learn about map-reading skills. However, how to model the relationship between map-reading skills and eye movement metrics is not well documented. In this paper, we propose a novel method to assess map-reading skills using eye movement metrics and Bayesian structural equation modelling. We recruited 258 participants to complete five map-reading tasks, which included map visualization, topology, navigation, and spatial association. The results indicated that map-reading skills could be reflected in three selected eye movement metrics, namely, the measure of first fixation, the measure of processing, and the measure of search. The model fitted well for all five tasks, and the scores generated by the model reflected the accuracy and efficiency of the participants’ performance. This study might provide a new approach to facilitate the quantitative assessment of map-reading skills based on eye tracking. View Full-Text
Keywords: map reading; eye tracking; structural equation model; geography education map reading; eye tracking; structural equation model; geography education
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MDPI and ACS Style

Dong, W.; Jiang, Y.; Zheng, L.; Liu, B.; Meng, L. Assessing Map-Reading Skills Using Eye Tracking and Bayesian Structural Equation Modelling. Sustainability 2018, 10, 3050. https://0-doi-org.brum.beds.ac.uk/10.3390/su10093050

AMA Style

Dong W, Jiang Y, Zheng L, Liu B, Meng L. Assessing Map-Reading Skills Using Eye Tracking and Bayesian Structural Equation Modelling. Sustainability. 2018; 10(9):3050. https://0-doi-org.brum.beds.ac.uk/10.3390/su10093050

Chicago/Turabian Style

Dong, Weihua, Yuhao Jiang, Liangyu Zheng, Bing Liu, and Liqiu Meng. 2018. "Assessing Map-Reading Skills Using Eye Tracking and Bayesian Structural Equation Modelling" Sustainability 10, no. 9: 3050. https://0-doi-org.brum.beds.ac.uk/10.3390/su10093050

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