%0 Journal Article
%T Computationally determining the salience of decision points for real-time wayfinding support
%A Makoto Takemiya
%A Toru Ishikawa
%J Journal of Spatial Information Science
%D 2012
%I 
%R 10.5311/josis.2012.4.76
%X 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.
%K navigational aids
%K wayfinding
%K geospatial information
%K human spatial cognition
%K real-time applications
%K salience
%K PageRank
%K information entropy
%U http://josis.org/index.php/josis/article/view/76