Title
QuEST for Information Fusion in Multimedia Reports
Abstract
AbstractQualia-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.
Year
DOI
Venue
2014
10.4018/IJMSTR.2014070101
Periodicals
Field
DocType
Volume
Situated,Human intelligence,Computer science,Situation awareness,Conceptualization,Decision quality,Perception,Multimedia,Qualia,Intelligence amplification
Journal
2
Issue
ISSN
Citations 
3
2166-7241
4
PageRank 
References 
Authors
0.43
26
6
Name
Order
Citations
PageRank
Erik Blasch1105190.91
Steven K. Rogers241746.04
Hillary Holloway340.43
Jorge Tierno440.43
Eric K. Jones540.43
Riad I. Hammoud61189.46