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The Influence of the Relationship Between Landmark Symbol Types, Annotations, and Colors on Search Performance in Mobile Maps Based on Eye Tracking

Bibliographic Data

ID22033409
AuthorsFang Hao (0000-0003-0497-9562, Wuhan Institute of Technology), Hao Fang (0009-0002-5030-5059, Wuhan Institute of Technology), Hongyun Guo (0000-0002-1389-2904, Wuhan Institute of Technology), Zhangtong Song (Wuhan Business University), Zichen Song (0000-0003-4155-2410, Wuhan Business University), Nai Yang (0000-0001-5306-1163, China University of Geosciences), Rui Wang (0000-0001-7155-3356, Wuhan Business University), Fen Guo (0000-0002-4976-5456, Wuhan Institute of Technology), Guo Fen (Wuhan Institute of Technology, corresponding author)
Year2025
Volume14
Issue3
Pages129
Publication date2025-03-14
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi14030129
OpenAlexW4408453379
LanguageEN
References cited59

Mobile map landmark symbols are pivotal in conveying spatial semantics and enhancing users’ perception of digital maps. This study employs a three-factor hybrid experimental design to investigate the effects of different landmark symbol types and their color associations with annotations on search performance using eye tracking methods. Utilizing the Tobii X2-60 eye tracker, 40 participants engaged in a visual search task across three symbol types (icons, indexes, and symbols) and two color conditions (consistent and inconsistent). This study also examines the impact of gender on search performance. The results indicate that INDEX, emphasizing the landmarks’ functions and key features, most effectively improve search accuracy and efficiency while demanding the least cognitive effort. In contrast, SYMBOL type characters, with clear semantics and minimal information, require less visual attention, facilitating faster preliminary processing. Additionally, cognitive style differences between genders affect these symbols’ effectiveness in visual searches. A careful selection of symbol types and color combinations can significantly enhance user interaction with mobile maps

Computer vision · Eye tracking · Landmark · Categorization, perception, and language · Computer Science · Geographic Information Systems Studies · Psychology · Spatial Cognition and Navigation · Artificial Intelligence

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