General visualization abstraction algorithm for geographic map-based human-robot interfaces

Authors:
Curtis M. Humphrey;Julie A. Adams
Affiliations:
Vanderbilt University, Nashville, TN, USA;Vanderbilt University, Nashville, TN, USA
Venue:
Proceedings of the 4th ACM/IEEE international conference on Human robot interaction
Year:
2009

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Abstract

This paper presents a novel visualization technique that provides integration, abstraction, and sharing of the information generated by remotely deployed robots or sensors. The General Visualization Abstraction (GVA) algorithm is designed to display the most useful information items at any moment by determining an importance value for each information item with a focus on two classes of information: historically relevant and currently relevant information, and novel and emerging information.