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

fYear

2009

fDate

11-13 March 2009

Firstpage

289

Lastpage

290

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Human-Robot Interaction (HRI), 2009 4th ACM/IEEE International Conference on

Conference_Location

La Jolla, CA

ISSN

2167-2121

Print_ISBN

978-1-60558-404-1

Type

conf

Filename

6256068