Proximates - A Social Context Engine
Jonsson, Håkan LU and Nugues, Pierre LU
(2013)
3rd International Workshop on Pervasive and Context-Aware Middleware, PerCAM13
413.
p.230-239
- Abstract
- Several studies have shown the value of using proximity data to understand the social context of users. To simplify the use of social context in application development we have developed Proximates, a social context engine for mobile phones. It scans nearby Bluetooth peers to determine what devices are in proximity. We map Bluetooth MAC ids to user identities on existing social networks which then allows Proximates to infer the social context of the user. The main contribution of Proximates is its use of link attributes retrieved from Facebook for granular relationship classification. We also show that Proximates can bridge the gap between physical and digital social interactions, by showing that it can be used to measure how much time a... (More)
- Several studies have shown the value of using proximity data to understand the social context of users. To simplify the use of social context in application development we have developed Proximates, a social context engine for mobile phones. It scans nearby Bluetooth peers to determine what devices are in proximity. We map Bluetooth MAC ids to user identities on existing social networks which then allows Proximates to infer the social context of the user. The main contribution of Proximates is its use of link attributes retrieved from Facebook for granular relationship classification. We also show that Proximates can bridge the gap between physical and digital social interactions, by showing that it can be used to measure how much time a user spends in physical proximity with his Facebook friends. In this paper we present the architecture and initial experimental results on deployment usability aspects of users of an example application. We also discuss using location for proximity detection versus direct sensing using Bluetooth. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4249429
- author
- Jonsson, Håkan
LU
and Nugues, Pierre
LU
- organization
- publishing date
- 2013
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Evolving Ambient Intelligence/Communications in Computer and Information Science
- volume
- 413
- pages
- 230 - 239
- publisher
- Springer
- conference name
- 3rd International Workshop on Pervasive and Context-Aware Middleware, PerCAM13
- conference location
- Dublin, Ireland
- conference dates
- 2013-12-03
- external identifiers
-
- scopus:84904758897
- ISSN
- 1865-0929
- ISBN
- 978-3-319-04405-7
- DOI
- 10.1007/978-3-319-04406-4_23
- project
- Embedded Applications Software Engineering
- language
- English
- LU publication?
- yes
- id
- dabd6e5b-e86a-4cbe-a126-881166b2db81 (old id 4249429)
- date added to LUP
- 2016-04-01 13:11:32
- date last changed
- 2022-01-27 17:51:03
@inproceedings{dabd6e5b-e86a-4cbe-a126-881166b2db81,
abstract = {{Several studies have shown the value of using proximity data to understand the social context of users. To simplify the use of social context in application development we have developed Proximates, a social context engine for mobile phones. It scans nearby Bluetooth peers to determine what devices are in proximity. We map Bluetooth MAC ids to user identities on existing social networks which then allows Proximates to infer the social context of the user. The main contribution of Proximates is its use of link attributes retrieved from Facebook for granular relationship classification. We also show that Proximates can bridge the gap between physical and digital social interactions, by showing that it can be used to measure how much time a user spends in physical proximity with his Facebook friends. In this paper we present the architecture and initial experimental results on deployment usability aspects of users of an example application. We also discuss using location for proximity detection versus direct sensing using Bluetooth.}},
author = {{Jonsson, Håkan and Nugues, Pierre}},
booktitle = {{Evolving Ambient Intelligence/Communications in Computer and Information Science}},
isbn = {{978-3-319-04405-7}},
issn = {{1865-0929}},
language = {{eng}},
pages = {{230--239}},
publisher = {{Springer}},
title = {{Proximates - A Social Context Engine}},
url = {{http://dx.doi.org/10.1007/978-3-319-04406-4_23}},
doi = {{10.1007/978-3-319-04406-4_23}},
volume = {{413}},
year = {{2013}},
}