Paper Info
Title
Mxr Framework For Uncertainty Based Explanation For Uncovering Adversarial Behavior
Abstract
Mixed Reality (MxR) technologies have previously been explored in military applications oriented towards supporting both individual situational awareness and team collaborations. Ongoing technological advances in MxR have expanded its potential usage by military analyst teams to view, digest, and evaluate information from multiple data sources for uncovering adversarial behavior. Towards facilitating improved situational awareness, MxR is a promising medium for explaining patterns in data to uncover vital information. By extension, analyst collaborations conducted using MxR may further enhance collaborative decision making techniques used in military settings. In general, explanations provide summarizations or descriptive information that supports conclusions, depending on the desired level of abstraction. However, explanations that summarize information may not always preserve the underlying uncertainty present in the data. This work proposes a fused reason-based explanation technique for MxR that may help bring clarity to data where patterns may be unexpected, potentially revealing adversarial behavior.
Year
DOI
Venue
2018
10.1007/978-3-319-91584-5_28
VIRTUAL, AUGMENTED AND MIXED REALITY: APPLICATIONS IN HEALTH, CULTURAL HERITAGE, AND INDUSTRY, PT II: 10TH INTERNATIONAL CONFERENCE VAMR 2018, PT II
Keywords
Field
DocType
Explanations, MxR, Collaboration, Reasoning, Decision making, CSCW, Provenance, C4ISR
Data science,Multiple data,CLARITY,Abstraction,Computer-supported cooperative work,Computer science,Situation awareness,Mixed reality,Group decision-making,Adversarial system
Conference
Volume
ISSN
Citations 
10910
0302-9743
0
PageRank 
References 
Authors
0.34
22
6
Name
Order
Citations
PageRank
Adrienne Raglin132.19
James Michaelis293.68
Mark Dennison301.01
Andre Harrison4164.34
Theron Trout500.68
James Schaffer6505.91