Abstract | ||
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This paper describes a technique for mapping objects such as insects and plants that exist in the field on a blank map in mobile learning. We propose to use mans geographic recognition in addition to a GPS for mapping objects. With the help of mans ability to recognize placement of objects and geographical relations between objects, objective geographic information with small error given by a GPS is effectively compensated. A mobile map-making learning system has been developed. Usability studies of the system and the map produced by the system are also provided. |
Year | DOI | Venue |
---|---|---|
2006 | 10.1109/ICNICONSMCL.2006.220 | ICN/ICONS/MCL |
Keywords | Field | DocType |
mobile map-making,gps error,mobile mapmaking learning,objective geographic information,usability study,mobile learning,geographic recognition,mapping object,geographical relation,blank map,small error,human geographic recognition,global positioning system,usability,educational technology | Educational technology,Mobile computing,Computer science,Blank,Human–computer interaction,Global Positioning System,Artificial intelligence,Assisted GPS,Distributed computing,Error analysis for the Global Positioning System,Computer vision,Mobile search,Usability | Conference |
ISBN | Citations | PageRank |
0-7695-2552-0 | 4 | 0.61 |
References | Authors | |
2 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tomoo Inoue | 1 | 352 | 47.23 |
Keisuke Nakazawa | 2 | 5 | 0.99 |
Yuri Yamamoto | 3 | 4 | 0.61 |
Hiroshi Shigeno | 4 | 163 | 50.88 |
Kenichi Okada | 5 | 21 | 3.58 |