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@article{1547116,
author = {Zhu, Litao and Švedová, Hana and Shen, Jie and Stachoň, Zdeněk and Shi, Jiafeng and Snopková, Dajana and Li, Xiao},
article_location = {Praha},
article_number = {2},
doi = {http://dx.doi.org/10.37040/geografie2019124020103},
keywords = {indoor landmark; landmark salience; scoring system; analytic hierarchy process; eye-tracking},
language = {eng},
issn = {1212-0014},
journal = {Geografie},
title = {An instance-based scoring system for indoor landmark salience evaluation},
url = {https://www.geografie.cz/archiv/stahnout/261},
volume = {124},
year = {2019}
}
TY - JOUR
ID - 1547116
AU - Zhu, Litao - Švedová, Hana - Shen, Jie - Stachoň, Zdeněk - Shi, Jiafeng - Snopková, Dajana - Li, Xiao
PY - 2019
TI - An instance-based scoring system for indoor landmark salience evaluation
JF - Geografie
VL - 124
IS - 2
SP - 103-131
EP - 103-131
PB - Czech Geographical Society
SN - 12120014
KW - indoor landmark
KW - landmark salience
KW - scoring system
KW - analytic hierarchy process
KW - eye-tracking
UR - https://www.geografie.cz/archiv/stahnout/261
L2 - https://www.geografie.cz/archiv/stahnout/261
N2 - Navigation in a complex indoor environment can be difficult, and pedestrians may find themselves disoriented. As the featured objects of an environment, indoor landmarks play an important role in navigation. A review of the existing literature in outdoor landmark evaluation methods, however, shows that they cannot be fully applicable in any indoor environment. In this paper, an instance-based scoring system is proposed for analyzing the indicators that influence the salience of spatial objects from visual, semantic and structural aspects. An Analytic Hierarchy Process was applied to calculate landmark weights using these indicators. Two types of indoor scenes were employed as instances to verify the validity of this method, the Dongchenghui shopping mall (Nanjing, China) using a subjective questionnaire and interview method, and the headquarters of Masaryk University (Brno, Czechia) using an objective eyetracking method. Be result of the two instances showed that the proposed method was feasible.
ER -
ZHU, Litao, Hana ŠVEDOVÁ, Jie SHEN, Zdeněk STACHOŇ, Jiafeng SHI, Dajana SNOPKOVÁ a Xiao LI. An instance-based scoring system for indoor landmark salience evaluation. \textit{Geografie}. Praha: Czech Geographical Society, 2019, roč.~124, č.~2, s.~103-131. ISSN~1212-0014. Dostupné z: https://dx.doi.org/10.37040/geografie2019124020103.
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