Modeling and Mapping of Human Source Data
David L. Hall, James Llinas, Michael D. McNeese · 2011
Abstract : This project is focused on development of a research framework for dynamic integration of information from hard (electronic) and soft (human) sensors. This framework includes representation of 2nd order uncertainty. The overall approach is based on three pillars: (1) traditional sensing resources (S-space), (2) dynamic communities of observers (H-space) and (3) resources such as archived sensor data, blogs, reports, dynamic news reports from citizen reporters via the internet (I-space). During this project we have developed an overall framework, implemented a distributed cyber infrastructure (an Extreme Events Laboratory) for conducting human in the loop experiments, performed literature reviews, and designed initial experiments related to focus of attention of human observers. In addition, we have developed some mathematical models for characterizing soft sensors and for knowledge representation.