Title :
General Visualization Abstraction algorithm for geographic map-based human-robot interfaces
Author :
Humphrey, Curtis M. ; Adams, Julie A.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Vanderbilt Univ., Nashville, TN, USA
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.
Keywords :
control engineering computing; data visualisation; human-robot interaction; information management; GVA algorithm; currently relevant information; emerging information; general visualization abstraction algorithm; geographic map-based human-robot interface; historically relevant information; importance value; information abstraction; information integration; information item; information sharing; visualization technique; Algorithm design and analysis; Clutter; Context; Decision making; Human factors; Robots; Visualization; GIS; Human-Robot Interfaces (HRI); Information Abstraction;
Conference_Titel :
Human-Robot Interaction (HRI), 2009 4th ACM/IEEE International Conference on
Conference_Location :
La Jolla, CA
Print_ISBN :
978-1-60558-404-1
