Towards the development of a display filter algorithm for command and control (C2) maps for operators of unmanned aerial systems

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Operators of military unmanned aerial vehicles (UAVs) work in highly dynamic environments. They have to complete numerous tasks, sometimes simultaneously, while maintaining high situational awareness (SA) and making rapid decisions. Their main focus is on mission management via the UAV's payload, yet, they continuously interact with the command and control (C2) map to obtain SA and make decisions. C2 maps, shared among forces in the environment, are cluttered and overloaded with information. We aim to develop a map display machine-learning based spatial-temporal algorithm that will identify the most relevant information items to the UAV operator and deliver the right visualized information on the C2 map at the right timing. Towards the algorithm development, experiments for collecting user-based importance data were conducted and analysed. For this, a designated UAV C2 Experimental System (UCES) has been developed. Results show high feasibility for the prediction model, allowing to move forward with the following steps of the algorithm development.

Original languageEnglish
Title of host publicationCHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450359719
DOIs
StatePublished - 2 May 2019
Event2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019 - Glasgow, United Kingdom
Duration: 4 May 20199 May 2019

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019
Country/TerritoryUnited Kingdom
CityGlasgow
Period4/05/199/05/19

Keywords

  • Command and control
  • Machine learning
  • Situation awareness
  • Spatial
  • Temporal analysis
  • Unmanned aerial systems

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

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