SALoT Map as Collective Intelligence on Environment Recognition

- Visualization of Impression of Student Life -

Abstract

SALoT Map is the impression map of environment that integrates the collective information of snapshots (S), attributes (A) of the person who took snapshots, their locations (Lo) and the descriptive texts (T). The procedure is following. The first is the classification of snapshots, attributes and locations. The second is the scoring of texts and snapshots by text-mining and VisualRank. Seventy students of Faculty of Agriculture of The University of Tokyo took part in the survey to find something interest in their student lives. Impression of eight locations such as in-door and outdoor of Yayoi campus, Tanashi farm, home and so on was visualized. The difference of impression between their major fields was also recognized, that is, students in Applied Biology took interested in animals and foods, whereas students in Landscape Ecology took interested in a row of trees. SALoT Map method could be applicable to search attractions in some town.