Journal of Spatial Information Science | |
Computationally determining the salience of decision points for real-time wayfinding support | |
Makoto Takemiya ; Toru Ishikawa | |
关键词: navigational aids; wayfinding; geospatial information; human spatial cognition; real-time applications; salience; PageRank; information entropy; | |
学科分类:计算机科学(综合) | |
来源: University of Maine | |
【 摘 要 】
This study introduces the concept of computational salience to explain the discriminatory efficacy of decision points, which in turn may have applications to providing real-time assistance to users of navigational aids. This research compared algorithms for calculating the computational salience of decision points and validated the results via three methods: high-salience decision points were used to classify wayfinders; salience scores were used to weight a conditional probabilistic scoring function for real-time wayfinder performance classification; and salience scores were correlated with wayfinding-performance metrics. As an exploratory step to linking computational and cognitive salience, a photograph-recognition experiment was conducted. Results reveal a distinction between algorithms useful for determining computational and cognitive saliences. For computational salience, information about the structural integration of decision points is effective, while information about the probability of decision-point traversal shows promise for determining cognitive salience. Limitations from only using structural information and motivations for future work that include non-structural information are elicited.
【 授权许可】
CC BY
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
RO201904261889051ZK.pdf | 78KB | download |