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M.: Using Context Annotated Mobility Profiles to Recruit Data (2009)
| Venue: | Collectors in Participatory Sensing. In: Proceedings of LOCA |
| Citations: | 11 - 3 self |
BibTeX
@INPROCEEDINGS{Reddy09m.:using,
author = {Sasank Reddy and Katie Shilton and Jeff Burke and Deborah Estrin and Mark Hansen and Mani Srivastava},
title = {M.: Using Context Annotated Mobility Profiles to Recruit Data},
booktitle = {Collectors in Participatory Sensing. In: Proceedings of LOCA},
year = {2009},
pages = {52--69},
publisher = {Springer}
}
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Abstract
Abstract. Mobile phones and accompanying network layers provide a platform to capture and share location, image, and acoustic data. This substrate enables participatory sensing: coordinated data gathering by individuals and communities to explore the world around them. Realizing such widespread and participatory sensing poses difficult challenges. In this paper, we discuss one particular challenge: creating a recruitment service to enable sensing organizers to select well-suited participants. Our approach concentrates on finding participants based on geographic and temporal coverage, as determined by context-annotated mobility profiles that model transportation mode, location, and time. We outline a threestage recruitment framework designed to be parsimonious so as to limit risk to participants by reducing the location and context information revealed to the system. Finally, we illustrate the utility of the framework, along with corresponding modeling technique for mobility information, by analyzing data from a pilot mobility study consisting of ten users.
Keyphrases
recruit data context annotated mobility profile context information share location well-suited participant ten user network layer threestage recruitment framework pilot mobility study mobility information context-annotated mobility profile temporal coverage recruitment service acoustic data mobile phone transportation mode participatory sensing pose difficult challenge participatory sensing data gathering particular challenge
