QuEST for Information Fusion in Multimedia Reports

Qualia-based Exploitation of Sensing Technology QuEST is an approach to create a cognitive exoskeleton to improve human-machine decision quality. In this paper, the authors present QuEST-motivated man-machine information fusion with an example for multimedia narratives. User-based situation awareness includes both elements of external sensory perception and internal cognitive explanation. The authors outline QuEST elements and tenets towards a reasoning approach that achieves human intelligence amplification IA in relation to data aggregation from machine artificial intelligence AI. In a use case example for multimedia exploitation, they showcase the need for enhanced understanding of the man mind-body cognition and the machine sensor-based reasoning for establishing a cohesive narrative of situational activities. QuEST tenets of structurally coherent, situated conceptualization, and simulated experience are utilized in organizing multimedia reports of Video Event Segmentation by Text VEST.