Proactive decision fusion for site security

Blasch, Erik; Plano, Susan

doi:10.1109/icif.2005.1592044

Cited by 21 publications

(7 citation statements)

References 7 publications

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“…We have also described four specific examples in which user context has been modeled or how it could be modeled in order to move toward an improved implementation of a context-aware proactive decision support system. We also recommend the interested reader to see the work by Blasch and Plano [54]. Additional research areas include:…”

Section: Resultsmentioning

confidence: 97%

Modeling User Behaviors to Enable Context-Aware Proactive Decision Support

Newsom

Mittu

Livingston

et al. 2016

Advances in Computer Vision and Pattern Recognition

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The problem of automatically recognizing a user's operational context, the implications of its shifting properties, and reacting in a dynamic manner are at the core of mission intelligence and decision making. Environments such as the OZONE Widget Framework (http://www.owfgoss.org) (OWF) provide the foundation for capturing the objectives, actions, and activities of both the mission analyst and the decision maker. By utilizing a "context container" that envelops an OZONE Application, we hypothesize that both user action and intent can be used to characterize user context with respect to operational modality (strategic, tactical, opportunistic, or random). As the analyst moves from one operational modality to another, we propose that information visualization techniques should adapt and present data and analysis pertinent to the new modality and to the trend of the shift. As a system captures the analyst's actions and decisions in response to the new visualizations, the context container has the opportunity to assess the analyst's perception of the information value, risk, uncertainty, prioritization, projection, and insight with respect to the current context stage. This paper will describe a conceptual architecture for an adaptive work environment for inferring user behavior and interaction within the OZONE framework, in order to provide the decision B. Newsom

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Section: Resultsmentioning

confidence: 97%

Modeling User Behaviors to Enable Context-Aware Proactive Decision Support

Newsom

Mittu

Livingston

et al. 2016

Advances in Computer Vision and Pattern Recognition

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“…Contested situations could be based on the competitor actions [16], restriction of access [17], and attacks [18]. Various situational effects could lead to contested environment data limitations.…”

Section: Contested Environmentsmentioning

confidence: 99%

Issues and challenges of information fusion in contested environments: panel results

Blasch

Kadar

Chong³

et al. 2015

SPIE Proceedings

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With the plethora of information, there are many aspects to contested environments such as the protection of information, network privacy, and restricted observational and entry access. In this paper, we review and contrast the perspectives of challenges and opportunities for future developments in contested environments. The ability to operate in a contested environment would aid societal operations for highly congested areas with limited bandwidth such as transportation, the lack of communication and observations after a natural disaster, or planning for situations in which freedom of movement is restricted. Different perspectives were presented, but common themes included (1) Domain: targets and sensors, (2) network: communications, control, and social networks, and (3) user: human interaction and analytics. The paper serves as a summary and organization of the panel discussion as towards future concerns for research needs in contested environments.

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“…In the image fusion literature, the process of an operator using information from multiple separate images for a task is often referred to as cognitive fusion (cf. Blasch & Plano, 2005) because any potential integration of the two images must take place cognitively. Cognitive fusion is a moniker we will adopt for the rest of this paper.…”

Section: Introductionmentioning

confidence: 99%

The perceptual processing of fused multi-spectral imagery

Fox

Houpt

2016

Cogn. Research

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Multi-spectral imagery can enhance decision-making by supplying multiple complementary sources of information. However, overloading an observer with information can deter decision-making. Hence, it is critical to assess multi-spectral image displays using human performance. Accuracy and response times (RTs) are fundamental for assessment, although without sophisticated empirical designs, they offer little information about why performance is better or worse. Systems factorial technology (SFT) is a framework for study design and analysis that examines observers’ processing mechanisms, not just overall performance. In the current work, we use SFT to compare a display with two sensor images alongside each another with a display in which there is a single composite image. In our first experiment, the SFT results indicated that both display approaches suffered from limited workload capacity and more so for the composite imagery. In the second experiment, we examined the change in observer performance over the course of multiple days of practice. Participants’ accuracy and RTs improved with training, but their capacity limitations were unaffected. Using SFT, we found that the capacity limitation was not due to an inefficient serial examination of the imagery by the participants. There are two clear implications of these results: Observers are less efficient with multi-spectral images than single images and the side-by-side display of source images is a viable alternative to composite imagery. SFT was necessary for these conclusions because it provided an appropriate mechanism for comparing single-source images to multi-spectral images and because it ruled out serial processing as the source of the capacity limitation.

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Proactive decision fusion for site security

Cited by 21 publications

References 7 publications

Modeling User Behaviors to Enable Context-Aware Proactive Decision Support

Modeling User Behaviors to Enable Context-Aware Proactive Decision Support

Issues and challenges of information fusion in contested environments: panel results

The perceptual processing of fused multi-spectral imagery

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