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
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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 |
DOI | 10.3390/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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