abstract

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

Authors:

Curtis M. Humphrey,

Julie A. AdamsAuthors Info & Claims

HRI '09: Proceedings of the 4th ACM/IEEE international conference on Human robot interaction

Pages 289 - 290

https://doi.org/10.1145/1514095.1514180

Published: 09 March 2009 Publication History

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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.

References

[1]

Cai, G., Sharma, R., MacEachren, A. M., and Brewer, I. 2006. Human-GIS interaction issues in crisis response. International Journal of Risk Assessment and Management 6, 4/5/6, 388 -- 407.

Crossref

Google Scholar

[2]

Wickens, C. D., Lee, J. D., Liu, Y., and Gordon-Becker, S. 2003. Introduction to Human Factors Engineering. Prentice Hall.

Digital Library

Google Scholar

[3]

Woodruff, A., Landay, J., and Stonebraker, M. 1998. Constant information density in zoomable interfaces. Proceedings of the working conference on Advanced Visual Interfaces. ACM, 57--65.

Digital Library

Google Scholar

[4]

Ellis, G. and Dix, A. 2006. The plot, the clutter, the sampling and its lens: occlusion measures for automatic clutter reduction. Proceedings of the working conference on Advanced Visual Interfaces. ACM, 266--269.

Digital Library

Google Scholar

[5]

Humphrey, C. M., Gordon, S. M., and Adams, J. A. 2006. Visualization of Multiple Robots During Team Activities. Human Factors and Ergonomics Society Annual Meeting Proceedings, 651--655.

Google Scholar

[6]

Howe, D. 2004. Planning Scenarios Executive Summaries. The Homeland Security Council.

Google Scholar

[7]

Baudisch, P., Good, N., Bellotti, V., and Schraedley, P. 2002. Keeping things in context: a comparative evaluation of focus plus context screens, overviews, and zooming. Proceedings of the SIGCHI conference on Human factors in computing systems: Changing our world, changing ourselves. ACM, 259--266.

Digital Library

Google Scholar

[8]

Jul, S. and Furnas, G. W. 1998. Critical zones in desert fog: aids to multiscale navigation. Proceedings of the 11th annual ACM Symposium on User Interface Software and Technology. ACM, 97--106.

Digital Library

Google Scholar

Index Terms

General visualization abstraction algorithm for geographic map-based human-robot interfaces
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI theory, concepts and models
    2. Interaction paradigms
      1. Graphical user interfaces
  2. Interaction design
    1. Interaction design theory, concepts and paradigms

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Information

Published In

HRI '09: Proceedings of the 4th ACM/IEEE international conference on Human robot interaction

March 2009

348 pages

ISBN:9781605584041

DOI:10.1145/1514095

General Chairs:
Matthias Scheutz
Indiana University, USA
,
François Michaud
Université de Sherbrooke, Canada
,
Program Chairs:
Pamela Hinds
Stanford University, USA
,
Brian Scassellati
Yale University, USA

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 March 2009

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HRI09

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HRI09: International Conference on Human Robot Interaction

March 9 - 13, 2009

California, La Jolla, USA

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Overall Acceptance Rate 268 of 1,124 submissions, 24%

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Index Terms

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Ethologically inspired human-robot interaction interfaces