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@article{1855697,
author = {Zhu, Litao and Shen, Jie and Zhou, Jingyi and Stachoň, Zdeněk and Hong, Shuai and Wang, Xing},
article_number = {2},
doi = {http://dx.doi.org/10.1111/tgis.12877},
keywords = {navigation; maps; visualization method; cognitive experiments; avigation systems},
language = {eng},
issn = {1361-1682},
journal = {Transactions in GIS},
title = {Personalized landmark adaptive visualization method for pedestrian navigation maps: Considering user familiarity},
url = {https://onlinelibrary.wiley.com/doi/full/10.1111/tgis.12877},
volume = {26},
year = {2022}
}
TY - JOUR
ID - 1855697
AU - Zhu, Litao - Shen, Jie - Zhou, Jingyi - Stachoň, Zdeněk - Hong, Shuai - Wang, Xing
PY - 2022
TI - Personalized landmark adaptive visualization method for pedestrian navigation maps: Considering user familiarity
JF - Transactions in GIS
VL - 26
IS - 2
SP - 669-690
EP - 669-690
PB - Wiley
SN - 13611682
KW - navigation
KW - maps
KW - visualization method
KW - cognitive experiments
KW - avigation systems
UR - https://onlinelibrary.wiley.com/doi/full/10.1111/tgis.12877
N2 - Landmark-based pedestrian navigation can assist pedestrians in navigating successfully. Previous studies have investigated the factors affecting the cognitive efficiency of landmark visualization in terms of both the visual salience of landmarks and the personal characteristics of users. However, empirical studies and applications that consider the influence of spatial familiarity on landmark representation are limited. In this article, we propose a personalized landmark adaptive visualization method for pedestrian navigation maps considering user familiarity. We first explore the influence of spatial familiarity on landmark salience and symbols using cognitive experiments. The results showed that unfamiliar people preferred strong visual salience landmarks and image-based symbols, while familiar people preferred strong semantic salience landmarks and text-based symbols. Based on these results, a mathematical model of landmark salience for selecting personalized landmarks is proposed, and association rules between landmark salience and symbols are mined. Finally, the framework of a landmark visualization method is proposed based on the rules. To verify the effectiveness of the proposed method, a prototype system is developed, and a comparative experiment is conducted with a Baidu map. Experimental results showed that the proposed method has direct practical implications for the development of pedestrian navigation systems, depending on different target users.
ER -
ZHU, Litao, Jie SHEN, Jingyi ZHOU, Zdeněk STACHOŇ, Shuai HONG and Xing WANG. Personalized landmark adaptive visualization method for pedestrian navigation maps: Considering user familiarity. \textit{Transactions in GIS}. Wiley, 2022, vol.~26, No~2, p.~669-690. ISSN~1361-1682. Available from: https://dx.doi.org/10.1111/tgis.12877.
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