Stories in GeoTime

Abstract

A story is a powerful abstraction used by intelligence analysts to conceptualize threats and understand patterns as part of the analytical process. This paper demonstrates a system that detects geo-temporal patterns and integrates story narration to increase analytic sense-making cohesion in GeoTime. The GeoTime geo-temporal event visualization tool was augmented with a story system that uses narratives, hypertext-linked visualizations, visual annotations, and pattern detection to create an environment for analytic exploration and communication, thereby assisting the analyst in identifying, extracting, arranging, and presenting stories within the data. The story system lets analysts operate at the story level with higher level abstractions of data, such as behaviors and events, while staying connected to the evidence. The story system was developed in collaboration with analysts. A formal evaluation was completed that showed high utility and usability.

Keywords

Human information interaction analytics sense-making narrative pattern detection story telling

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