Location-based services like reminders, electronic graffiti, and tourist guides normally require a custom, location-sensitive database that must be custom-tailored for the application at hand. This deployment cost reduces the initial appeal of such services. However, there is much location-tagged data already available on the Web which can be easily used to create compelling location-aware applications with almost no deployment cost. Such tagged data can be used directly in applications as well as to provide evidence in models of activity. We describe three applications that take advantage of existing Web data combined with location measurements from a GPS receiver. The first application, “Pinpoint Search”, finds web pages of nearby places based on GPS coordinates, queries from a Web mapping service, and general Web searches. The second application, “XRay”, uses the mapping service to find businesses in a building by pointing a GPS-equipped electronic compass at the building. The third application is called “Travelogue”, and it builds a map and clickable points of interest to help automatically annotate a trip based on GPS coordinates. Finally, we discuss the use of Web-based data as rich sources of evidence for probabilistic models of a user's activity, including a means for interpreting the explanation for the loss of Web signals as users enter structures.
[1]
Kiriakos N. Kutulakos,et al.
Calibration-Free Augmented Reality
,
1998,
IEEE Trans. Vis. Comput. Graph..
[2]
Jason Pascoe,et al.
The stick-e note architecture: extending the interface beyond the user
,
1997,
IUI '97.
[3]
Anind K. Dey,et al.
UbiComp 2003: Ubiquitous Computing
,
2003,
Lecture Notes in Computer Science.
[4]
John Krumm,et al.
TempIO: Inside/Outside Classification with Temperature
,
2004
.
[5]
Kentaro Toyama,et al.
Project Lachesis: Parsing and Modeling Location Histories
,
2004,
GIScience.
[6]
Steven K. Feiner,et al.
A touring machine: Prototyping 3D mobile augmented reality systems for exploring the urban environment
,
1997,
Digest of Papers. First International Symposium on Wearable Computers.
[7]
Marc A. Smith,et al.
AURA: A mobile platform for object and location annotation
,
2003
.
[8]
Gregory D. Abowd,et al.
Cyberguide: A mobile context‐aware tour guide
,
1997,
Wirel. Networks.
[9]
William G. Griswold,et al.
ActiveCampus - Sustaining Educational Communities through Mobile Technology
,
2002
.
[10]
Natalia Marmasse.
comMotion: a context-aware communication system
,
1999,
CHI EA '99.