One decade of the Data Fusion Information Group (DFIG) model

Abstract

The revision of the Joint Directors of the Laboratories (JDL) Information Fusion model in 2004 discussed information processing, incorporated the analyst, and was coined the Data Fusion Information Group (DFIG) model. Since that time, developments in information technology (e.g., cloud computing, applications, and multimedia) have altered the role of the analyst. Data production has outpaced the analyst; however the analyst still has the role of data refinement and information reporting. In this paper, we highlight three examples being addressed by the DFIG model. One example is the role of the analyst to provide semantic queries (through an ontology) so that vast amount of data available can be indexed, accessed, retrieved, and processed. The second idea is reporting which requires the analyst to collect the data into a condensed and meaningful form through information management. The last example is the interpretation of the resolved information from data that must include contextual information not inherent in the data itself. Through a literature review, the DFIG developments in the last decade demonstrate the usability of the DFIG model to bring together the user (analyst or operator) and the machine (information fusion or manager) in a systems design.

Multi-intelligence critical rating assessment of fusion techniques (MiCRAFT)

“…As discussed in "One Decade of the DFIG Model" [39], the user needs to be included in information fusion estimation, situation/impact awareness, sensor/resource management, and decision support design; all of which are process modeling bridging the machine-fusion functions. The original user-fusion model (Blasch, 1999), shown in Figure 4, tried to capture the many metrics that the user is concentrating on in decision making.…”

“…Building on the Boyd Observe, Orient, Decide, Act (OODA) model [36,37] and the Situation Awareness model [19]; the Data Fusion Information Group model [38,39] was proposed, as shown in Figure 3 along with the definitions. A key element is Level 5 "user refinement" [75,76,77,78] which focuses on situational awareness as a user's mental model, to that of the fusion situation assessment display of a geographical model [79].…”

NODE-RED Microservice Bedside System for Outcome Prediction of Patients with Suspected SEPSIS: Useful Study for the Coronavirus Outbreak and Beyond (Stage 1 of the Work)

“…So it could be an arm, or it could refer to integrating ("fusing") consecutive reflected pulses from a radar to form a signal [14]. In 2015, a researcher [15], extended the four levels JDL model into five level one where Level 5: "User Refinement" involves humans to be "in the loop" affecting the products of all the lower levels.…”

Pragmatic Interoperability for Extreme Automation and Healthcare Interoperability & Continuity

“…So it could be an arm, or it could refer to integrating ("fusing") consecutive reflected pulses from a radar to form a signal [15]. In 2015, a researcher [16], extended the four levels JDL model into five level one where Level 5: "User Refinement" involves humans to be "in the loop" affecting the products of all the lower levels.…”