Frequent sequential interactions as opportunities to engage in temporal reasoning with an online GIS
Raymond Kang, Josh Radinsky, Leilah Lyons · 2015
Temporal reasoning (i.e., reasoning about relationships across time) is complex and difficult, particularly when engaged through complex media such as online Geographic Information System (GIS) applications. Partnering with Social Explorer (SE), a Web-based GIS application that allows users to create interactive visualizations of large sociological datasets, we engaged in frequent sequential pattern mining of a database of users' interactions with SE. The resulting frequent sequences provide initial descriptions of how SE affords opportunities to engage in temporal reasoning.