Developing a context-aware electronic tourist guide: some issues and experiences
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
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Information about the nature and characteristics of streets is useful to tourists. This paper introduces the Kansei stroll map that visualizes streetscape impressions. First, subjective evaluation experiments were conducted to investigate the impressions of 475 streetscapes in Kyoto. Using the Kansei structure visualization technique, proposed by the present authors, these impressions from around the city were visualized using colour and colour density and then implemented on PCs. User studies with eight participants examined its use in planning routes and walking in the city. The user studies suggest that the visualized impressions provided by the Kansei stroll map help users to find less-known places and streets that match their interests.