Exploring differences of visual attention in pedestrian navigation when using 2D maps and 3D geo-browsers
Abstract
Despite the now-ubiquitous two-dimensional (2D) electronic maps, three-dimensional (3D) globe viewers, or 3D geo-browsers such as Google Earth and NASA World Wind have gained much attention. However, the effect of such interactive 3D geo-browsers on spatial knowledge acquisition and decision-making is not well known. This study aims to explore the potential benefits of using interactive 3D geo-browsers in three processes of pedestrian navigation (self-localization, spatial knowledge acquisition, and decision-making) in digital environments. We employed eye tracking to show differences of visual attention in pedestrian navigation between a 2D map (Google Map) and a 3D geo-browser (Google Earth). The results indicated that benefits and drawbacks of 3D representations are task dependent. Participants using the 3D geo-browser had an extensively visual search resulting in significantly longer response time than the 2D participants for spatial knowledge acquisition, whereas 3D users performed a more efficient visual search and resulted in a better navigation performance at complex decision points. We speculate that the inefficient knowledge acquisition when using the 3D geo-browser was most probably due to information overload and obstructed views. Landmarks in photorealistic 3D models assisted recall of spatial knowledge from mental maps, which contributed to efficient decision-making at a complex turning point. These empirical results can be helpful to improve the usability of pe…
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These results lend weight to previous findings that wayfinders do not necessarily perform better with increased realism.
“As measures of landmark and route knowledge, the foundations of cognitive spatial representations, these results lend weight to previous findings that that wayfinders do not necessarily perform better with increased realism (Hegarty et al., 2009; Liao et al., 2017; Plesa & Cartwright, 2008; Wilkening & Fabrikant, 2011).”
From The influence of landmark visualization style on task performance, visual attention, and spatial learning in a real-world navigation task (2024) · cites this paper as Liao et al., 2017
Too much visual information in navigation aids can unnecessarily increase decision times and memory load.
“Indeed, studies implementing more complex designs into navigation aids have suggested that too much visual information can unnecessarily increase decision times and memory load (Hegarty et al., 2009, 2012; Lei et al., 2016; Liao et al., 2017; Lokka & Çöltekin, 2019; Plesa & Cartwright, 2008).”
From The influence of landmark visualization style on task performance, visual attention, and spatial learning in a real-world navigation task (2024) · cites this paper as Liao et al., 2017
Users generally prefer fully realistic 3D visualizations because they provide a more naturalistic representation of the environment and are perceived as recognizable, efficient, intuitive, enjoyable, and fun.
“Additionally, users generally prefer fully realistic 3D visualizations, which is attributed to the fact that they provide a more naturalistic representation of the environment and are perceived as recognizable, efficient, intuitive, enjoyable, and fun (Hegarty et al., 2009; Liao et al., 2017; Lokka & Çöltekin, 2019; Oulasvirta et al., 2009; Plesa & Cartwright, 2008).”
From The influence of landmark visualization style on task performance, visual attention, and spatial learning in a real-world navigation task (2024) · cites this paper as Liao et al., 2017
A 2D base map with 3D landmark models provides a sound cartographic design choice for retaining the graphic characteristics of a task-relevant object and combining the benefits of both representation styles.
“Thus, the state of research into map landmark visualization indicates that a 2D base map with 3D landmark models provides a sound cartographic design choice for retaining the graphic characteristics of a task-relevant object (MacEachren, 2004, p. 259) and combining the benefits of both representation styles (Lei et al., 2016; Liao et al., 2017).”
From The influence of landmark visualization style on task performance, visual attention, and spatial learning in a real-world navigation task (2024) · cites this paper as Liao et al., 2017
Previous research shows that while participants prefer realistic 3D depictions, they do not always perform better with them.
“The navigation performance and visualization preference results align with previous research findings that while participants prefer realistic 3D depictions, they do not always perform better with them (Hegarty et al., 2009; Kray et al., 2003; Liao et al., 2017; Oulasvirta et al., 2009; Plesa & Cartwright, 2008).”
From The influence of landmark visualization style on task performance, visual attention, and spatial learning in a real-world navigation task (2024) · cites this paper as Liao et al., 2017
Adding more visual information to the preferred realistic visualization did not adversely affect navigation efficiency.
“it is reassuring that adding more visual information to the preferred realistic visualization did not adversely affect navigation efficiency, which was a risk highlighted in other studies (Dillemuth, 2005; Liao et al., 2017; Plesa & Cartwright, 2008).”
From The influence of landmark visualization style on task performance, visual attention, and spatial learning in a real-world navigation task (2024) · cites this paper as Liao et al., 2017
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References 74 · Cited by 106
- Authors
- Liao, H., Dong, W., Peng, C., & Liu, H.
- Affiliations
- Beijing Normal University (CN)
- ,
- Corresponding author
- Dong, Weihua
- Venue
- Cartography and Geographic Information Science
- Publisher
- Informa UK Limited
- Published
- 2016-05-11
- Volume
- 44
- Issue
- 6
- Pages
- 474-490
- ISSN
- 1523-0406 (ISSN-L)
- 1545-0465
- OpenAlex
- W2352816130
- Cited by
- 106
- References
- 74
- Citations by year
- 2026: 10 · 2025: 14 · 2024: 17 · 2023: 11 · 2022: 14 · 2021: 5 · 2020: 7 · 2019: 11 · 2018: 10 · 2017: 5 · 2016: 2
- FWCI
- 8.13
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Cartography and Geographic Information Science (publishedVersion)
- Funders
- National Natural Science Foundations of China (41471382)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Spatial Cognition and Navigation
- Social Sciences › Geography, Planning and Development › Geographic Information Systems Studies
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Data Visualization and Analytics
- Keywords
- pedestrian navigation, two-dimensional maps, visual attention, eye tracking, spatial knowledge acquisition, navigation decision-making, self-localization, visual search, information overload, cognitive maps, landmarks, Google Earth, Google Maps, 3D visualization
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