Paper
23 April 2020 Decision making with uncertainty in immersive systems
Adrienne Raglin, Mark Dennison, Somiya Metu, Theron Trout, Deryck James
Author Affiliations +
Abstract
Decision-making is defined as a process resulting in the selection of a course of action from a number of alternatives based on variables that represent key considerations to the task. This is a complex process where the goal is to generate the “best" course of action given the data and knowledge obtained. As the use of intelligent systems increases, so too does the amount of data to be considered by human analysts and commanders. As the military looks toward integration of intelligent system like smart devices or internet of things, the devices and the data from these devices are important for decision making in highly dynamic situations. Of critical importance is the uncertainty of information associated with the data produced from such systems. Any uncertainty must be captured and communicated to aid the decision-making process. Our work focuses on how this process can be investigated to understand and analyze the impact of uncertainty for decision-making in multi-domain operational environments. We conducted user studies and present our results to discuss the presentation of uncertainty within the decision-making cycle for our tasks .
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Adrienne Raglin, Mark Dennison, Somiya Metu, Theron Trout, and Deryck James "Decision making with uncertainty in immersive systems", Proc. SPIE 11426, Virtual, Augmented, and Mixed Reality (XR) Technology for Multi-Domain Operations, 114260L (23 April 2020); https://doi.org/10.1117/12.2556576
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Taxonomy

Visualization

Data acquisition

Intelligence systems

Analytical research

Internet

Situational awareness sensors

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