Investigating immersive collective intelligence

Mark Mittrick; John Richardson; Mark Dennison Jr.; Theron Trout; Eric Heilman; Timothy Hanratty

doi:10.1117/12.2519364

10 May 2019 Investigating immersive collective intelligence

Mark Mittrick, John Richardson, Mark Dennison Jr., Theron Trout, Eric Heilman, Timothy Hanratty

Proceedings Volume 11006, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications; 110060U (2019) https://doi.org/10.1117/12.2519364
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

Abstract

Collective intelligence is generally defined as the emergence and evolution of intelligence derived from the collective and collaborative efforts of several entities; to include humans and (dis)embodied intelligent agents. Recent advances in immersive technology have led to cost-effective tools that allow us to study and replicate interactions in a controlled environment. Combined together, immersive collective intelligence holds the promise of a symbiotic intelligence that could be greater than the sum of the individual parts. For the military, where the decision making process is typically characterized by high-stress and high-consequence, the concept of a distributive, immersive collective intelligence capability is game changing. Commanders and staff will now be able to remotely immerse themselves in their operational environment with subject matter expertise and advanced analytics. This paper presents the initial steps to understanding immersive collective intelligence with a demonstration designed to discern how military intelligence analysts benefit from an immersive data visualization.

Conference Presentation

Citation Download Citation

Mark Mittrick, John Richardson, Mark Dennison Jr., Theron Trout, Eric Heilman, and Timothy Hanratty "Investigating immersive collective intelligence", Proc. SPIE 11006, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications, 110060U (10 May 2019); https://doi.org/10.1117/12.2519364

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