Proximates - A Social Context Engine

Håkan Jonsson; Pierre Nugues

doi:10.1007/978-3-319-04406-4_23

Proximates - A Social Context Engine

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

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.

Original language	English
Title of host publication	Evolving Ambient Intelligence/Communications in Computer and Information Science
Publisher	Springer
Pages	230-239
Volume	413
ISBN (Print)	978-3-319-04405-7
DOIs	https://doi.org/10.1007/978-3-319-04406-4_23
Publication status	Published - 2013
Event	3rd International Workshop on Pervasive and Context-Aware Middleware, PerCAM13 - Dublin, Ireland Duration: 2013 Dec 3 → …

Publication series

Name
Volume	413
ISSN (Print)	1865-0929

Conference

Conference	3rd International Workshop on Pervasive and Context-Aware Middleware, PerCAM13
Country/Territory	Ireland
City	Dublin
Period	2013/12/03 → …

Subject classification (UKÄ)

Computer Science

Access to Document

10.1007/978-3-319-04406-4_23

1 Doctoral Thesis (compilation)

From Signal to Social: Steps Towards Pervasive Social Context
Jonsson, H., 2018 Jun 15, Lund: Computer Science, Lund University. 140 p.
Research output: Thesis › Doctoral Thesis (compilation)

Open Access
File

1 Finished

EASE: Embedded Applications Software Engineering
Åkesson, J. (Researcher), Magnusson, B. (Researcher), Svensson Fors, D. (Researcher), Magnusson, E. (Researcher), Hedin, G. (Researcher), Kuchcinski, K. (Researcher), Andersson, P. (Researcher), Nugues, P. (Researcher), Robertz, S. (Researcher), Ekman, T. (Researcher), Loconsole, A. (Researcher), Orucevic-Alagic, A. (Researcher), Johnsson, B. A. (Researcher), Pfahl, D. (Researcher), Bjarnason, E. (Researcher), Söderberg, E. (Researcher), Sabaliauskaité, G. (Researcher), Jonsson, H. (Researcher), Janneck, J. (Researcher), Wnuk, K. (Researcher), Borg, M. (Researcher), Skoglund, M. (Researcher), Sulaman, S. M. (Researcher), Minör, S. (Researcher), Sandholm, T. (Researcher), Alce, G. (Researcher), Wallergård, M. (Researcher), Zhang, C. (Researcher), Barney, S. (Researcher), Martinsen, J. K. (Researcher), Grahn, H. (Researcher), Jalali, S. (Researcher), Ardö, A. (Researcher), Engström, E. (Researcher), Berntsson Svensson, R. (Researcher), Regnell, B. (Researcher), Runeson, P. (PI), Wohlin, C. (PI), Höst, M. (Researcher) & Wisbrant, J. (Project communication officer)
2008/09/30 → 2018/12/31
Project: Research

Cite this

@inproceedings{dabd6e5be86a4cbea126881166b2db81,

title = "Proximates - A Social Context Engine",

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 = "H{\aa}kan Jonsson and Pierre Nugues",

year = "2013",

doi = "10.1007/978-3-319-04406-4_23",

language = "English",

isbn = "978-3-319-04405-7",

volume = "413",

publisher = "Springer",

pages = "230--239",

booktitle = "Evolving Ambient Intelligence/Communications in Computer and Information Science",

address = "Germany",

note = "3rd International Workshop on Pervasive and Context-Aware Middleware, PerCAM13 ; Conference date: 03-12-2013",

}

TY - GEN

T1 - Proximates - A Social Context Engine

AU - Jonsson, Håkan

AU - Nugues, Pierre

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

U2 - 10.1007/978-3-319-04406-4_23

DO - 10.1007/978-3-319-04406-4_23

M3 - Paper in conference proceeding

SN - 978-3-319-04405-7

VL - 413

SP - 230

EP - 239

BT - Evolving Ambient Intelligence/Communications in Computer and Information Science

PB - Springer

T2 - 3rd International Workshop on Pervasive and Context-Aware Middleware, PerCAM13

Y2 - 3 December 2013

ER -

Proximates - A Social Context Engine

Abstract

Publication series

Conference

Subject classification (UKÄ)

Access to Document

Fingerprint

Research output

From Signal to Social: Steps Towards Pervasive Social Context

Projects

EASE: Embedded Applications Software Engineering

Cite this