中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Research on Generating an Indoor Landmark Salience Model for Self-Location and Spatial Orientation from Eye-Tracking Data

文献类型:期刊论文

作者Wang, Chengshun2; Chen, Yufen2; Zheng, Shulei2; Yuan, Yecheng1; Wang, Shuang3
刊名ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
出版日期2020-02-01
卷号9期号:2页码:26
关键词indoor landmark eye-tracking data landmark salience model self-location orientation
DOI10.3390/ijgi9020097
通讯作者Chen, Yufen(cyfbeijing@163.com)
英文摘要Landmarks play an essential role in wayfinding and are closely related to cognitive processes. Eye-tracking data contain massive amounts of information that can be applied to discover the cognitive behaviors during wayfinding; however, little attention has been paid to applying such data to calculating landmark salience models. This study proposes a method for constructing an indoor landmark salience model based on eye-tracking data. First, eye-tracking data are taken to calculate landmark salience for self-location and spatial orientation tasks through partial least squares regression (PLSR). Then, indoor landmark salience attractiveness (visual, semantic and structural) is selected and trained by landmark salience based on the eye-tracking data. Lastly, the indoor landmark salience model is generated by landmark salience attractiveness. Recruiting 32 participants, we designed a laboratory eye-tracking experiment to construct and test the model. Finding 1 proves that our eye-tracking data-based modelling method is more accurate than current weighting methods. Finding 2 shows that significant differences in landmark salience occur between two tasks; thus, it is necessary to generate a landmark salience model for different tasks. Our results can contribute to providing indoor maps for different tasks.
WOS关键词PEDESTRIAN NAVIGATION ; MAP ; DIRECTIONS ; SYSTEM ; FIELD
资助项目National Natural Science Foundations of China[41701475] ; National Natural Science Foundations of China[41501507] ; National High Technology Research and Development Program of China[2012AA12A404]
WOS研究方向Physical Geography ; Remote Sensing
语种英语
WOS记录号WOS:000522449700037
出版者MDPI
资助机构National Natural Science Foundations of China ; National High Technology Research and Development Program of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/133416]  
专题中国科学院地理科学与资源研究所
通讯作者Chen, Yufen
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Informat Engn Univ, Zhengzhou 450052, Peoples R China
3.China Natl Inst Standardizat, Subinst High Tech Standardizat, Beijing 100191, Peoples R China
推荐引用方式
GB/T 7714
Wang, Chengshun,Chen, Yufen,Zheng, Shulei,et al. Research on Generating an Indoor Landmark Salience Model for Self-Location and Spatial Orientation from Eye-Tracking Data[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2020,9(2):26.
APA Wang, Chengshun,Chen, Yufen,Zheng, Shulei,Yuan, Yecheng,&Wang, Shuang.(2020).Research on Generating an Indoor Landmark Salience Model for Self-Location and Spatial Orientation from Eye-Tracking Data.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,9(2),26.
MLA Wang, Chengshun,et al."Research on Generating an Indoor Landmark Salience Model for Self-Location and Spatial Orientation from Eye-Tracking Data".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 9.2(2020):26.

入库方式: OAI收割

来源:地理科学与资源研究所

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