Personalized landmark adaptive visualization method for pedestrian navigation maps: Considering user familiarity
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F22%3A00125877" target="_blank" >RIV/00216224:14310/22:00125877 - isvavai.cz</a>
Result on the web
<a href="https://onlinelibrary.wiley.com/doi/full/10.1111/tgis.12877" target="_blank" >https://onlinelibrary.wiley.com/doi/full/10.1111/tgis.12877</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/tgis.12877" target="_blank" >10.1111/tgis.12877</a>
Alternative languages
Result language
angličtina
Original language name
Personalized landmark adaptive visualization method for pedestrian navigation maps: Considering user familiarity
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10508 - Physical geography
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Transactions in GIS
ISSN
1361-1682
e-ISSN
1467-9671
Volume of the periodical
26
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
22
Pages from-to
669-690
UT code for WoS article
000726792800001
EID of the result in the Scopus database
2-s2.0-85120551336