Name
Title | ||
|---|---|---|
General visualization abstraction algorithm for geographic map-based human-robot interfaces |
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1145/1514095.1514180 | HRI |
Keywords | Field | DocType |
general visualization abstraction algorithm,geographic map-based human-robot interface,importance value,useful information item,relevant information,general visualization abstraction,information item,novel visualization technique,algorithm design and analysis,human robot interface,visualization,gis,clutter,human factors,robots | Data mining,Abstraction,Algorithm design,Information visualization,Visualization,Clutter,Computer science,Algorithm,Human–computer interaction,Robot,Human–robot interaction | Conference |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Curtis M. Humphrey | 1 | 151 | 11.50 |
| Julie A. Adams | 2 | 392 | 53.75 |