Name
Abstract | ||
|---|---|---|
In this paper we present a social and technical architecture which will enable the study of localization from the perspective of crowds. Our research agenda is to leverage new computing opportunities that arise when many people are simultaneously localizing themselves. By aggregating this and other types of context information we intend to develop a statistically powerful data set that can be used by urban planners, users and their software. This paper presents an end-to-end strategy, motivated with preliminary user studies, for lowering the social and technical barriers to sharing context information. The primary technology through which we motivate participation is an intelligent context-aware instant messaging client called Nomatic*Gaim. We investigate social barriers to participation with a small informal user study evaluating automatic privacy mechanisms which give people control over their context disclosure. We then analyze some preliminary data from an early deployment. Finally we show how leveraging these mass-collaborations could help to improve Nomatic*Gaim by allowing it to infer position to place mappings. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11752967_13 | LoCA |
Keywords | Field | DocType |
people control,technical barrier,context information,small informal user study,preliminary data,context disclosure,powerful data set,social barrier,technical architecture,preliminary user study,urban planning,statistical power | Mobile computing,Information system,Data science,Crowds,Software deployment,Computer science,Computer security,Software,Artificial intelligence,Ubiquitous computing,Information privacy,Architecture,Machine learning | Conference |
Volume | ISSN | ISBN |
3987 | 0302-9743 | 3-540-34150-1 |
Citations | PageRank | References |
14 | 0.78 | 36 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Donald J. Patterson | 1 | 1765 | 219.99 |
| Xianghua Ding | 2 | 203 | 25.78 |
| Nicholas Noack | 3 | 14 | 1.12 |