An intelligent information mediation framework to enable decentralized decision-making in immersive environments

Theron T. Trout; Erik Risinger; Tiffany Raber; Mark Dennison Jr.

doi:10.1117/12.2587527

6 May 2021 An intelligent information mediation framework to enable decentralized decision-making in immersive environments

Theron T. Trout, Erik Risinger, Tiffany Raber, Mark Dennison Jr.

Author Affiliations +

Proceedings Volume 11759, Virtual, Augmented, and Mixed Reality (XR) Technology for Multi-Domain Operations II; 117590M (2021) https://doi.org/10.1117/12.2587527
Event: SPIE Defense + Commercial Sensing, 2021, Online Only

Abstract

Efforts are underway across the defense and commercial industries to develop cross-reality (XR), multi-user operation centers in which human users can perform their work while aided by intelligent systems. At their core is the objective to accelerate decision-making and improve efficiency and accuracy. However, presenting data to users in an XR, multi-dimensional environment results in a dramatic increase in extraneous information density. Intelligent systems offer a potential mechanism for mitigating information overload while ensuring that critical and anomalous data is brought to the attention of the human users in an immersive interface. This paper describes such a prototype system that combines real and synthetic motion sensors which, upon detection of an event, send a captured image for processing by a YOLO cluster. Finally, we describe how a future system can integrate a decision-making component for evaluation of the resulting metadata to determine whether to inject the results into an XR environment for presentation to human users.

Conference Presentation

Citation Download Citation

Theron T. Trout, Erik Risinger, Tiffany Raber, and Mark Dennison Jr. "An intelligent information mediation framework to enable decentralized decision-making in immersive environments", Proc. SPIE 11759, Virtual, Augmented, and Mixed Reality (XR) Technology for Multi-Domain Operations II, 117590M (6 May 2021); https://doi.org/10.1117/12.2587527

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