Location- and Context-Awareness, Third International Symposium, LoCA 2007, Oberpfaffenhofen, Germany, September 20-21, 2007, Proceedings

@inproceedings{Hightower2007LocationAC,
  title={Location- and Context-Awareness, Third International Symposium, LoCA 2007, Oberpfaffenhofen, Germany, September 20-21, 2007, Proceedings},
  author={Jeffrey Hightower and Bernt Schiele and Thomas Strang},
  booktitle={LoCA},
  year={2007}
}
These proceedings contain the papers presented at the 2nd International Workshop on Location- and Context-Awareness in May of 2006. As computing moves increasingly into the everyday world, the importance of location and context knowledge grows. The range of contexts encountered while sitting at a desk working on a computer is very limited compared to the large variety of situations experienced away from the desktop. For computing to be relevant and useful in these situations, the computers must… 
172 Citations
Contexto: lessons learned from mobile context inference
TLDR
This study examines how data collected from mobile devices can be utilized to infer users' behavior and environment and compares various machine learning methods and their effectiveness for the purposes of inferring the users' context from the collected data.
User-Centered Approaches to Context Awareness: Prospects and Challenges
TLDR
Proposed approaches and methods for representing the user context in defining context awareness and coupling context awareness with user context of interest may provide a promising approach to the development and deployment of effective context-aware applications.
Evolving Presentity-Based Context Schemas by Estimating Context Proximity
TLDR
This paper proposes an algorithm for estimating the context proximity among presentities, enabling complete schemata of entities relevant to, and expressing the current context of a presentity, and an extension of a gossiping algorithm to optimize the ability to createSchemata as one traverses a vast and dynamic connected things infrastructure.
Minimising Pedestrian Navigational Ambiguities Through Geoannotation and Temporal Tagging
TLDR
The main contribution of this paper is the discussion of the geoannotation technique, and some informal results from pilot trials on how it helps in addressing certain navigational ambiguities arising in the use of photographs in pedestrian navigation systems.
Middleware for Distributed Context-Aware Systems
TLDR
The goals of this paper are to provide an analysis of the requirements of a middleware for context-aware systems, drawing from both traditional distributed system goals and the experiences with developing context- aware applications.
Semantic Information Retrieval in the COMPASS Location System
TLDR
A location-based service discovery mechanism which allows a node to find all services that can provide facts about its current location that is built upon a structured Peer-to-Peer system implementing a distributed hash table.
CenceMe - Injecting Sensing Presence into Social Networking Applications
TLDR
CenceMe injects sensing presence into popular social networking applications such as Facebook, MySpace, and IM allowing for new levels of "connection" and implicit communication between friends in social networks.
Twitter, Sensors and UI: Robust Context Modeling for Interruption Management
TLDR
A two-month field study of fifteen people using a software tool designed to model changes in a user's availability finds that interruptions made by the software tool can be made valuable to the user.
Context Privacy and Obfuscation Supported by Dynamic Context Source Discovery and Processing in a Context Management System
TLDR
This paper's approach relies on context-dependent ownership definitions and context owner-specified privacy preferences to control context disclosure to third-parties and introduces a new approach based on dynamic discovery and processing of context sources.
Identifying Meaningful Places: The Non-parametric Way
TLDR
A non-parametric Bayesian approach for identifying places from discontinuous GPS measurements and results indicate that the method can accurately identify meaningful places from a variety of location traces and that the algorithm is robust against noise.
...
...

References

SHOWING 1-5 OF 5 REFERENCES
Mobile Context Inference Using Low-Cost Sensors
TLDR
A compact system for fusing location data with data from simple, low-cost, non-location sensors to infer a user's place and situational context to unlock new possibilities for mobile context inference is introduced.
Share the Secret: Enabling Location Privacy in Ubiquitous Environments
TLDR
A novel architecture to shield the location of a mobile user and preserve the anonymity on the service delivery is presented, called “Share the Secret – STS”, which uses totally un-trusted entities to distribute portions of anonymous location information, and authorizes other entities to combine these portions and derive the locations of a user.
Where am I: Recognizing On-body Positions of Wearable Sensors
TLDR
The method uses a (sensor) location and orientation invariant algorithm to identify time periods where the user is walking and then leverages the specific characteristics of walking motion to determine the location of the body-worn sensor.
Location-and Context-Aware Applications Introducing Context-Aware Features into Everyday Mobile Applications Mikko Perttunen
  • Location-and Context-Aware Applications Introducing Context-Aware Features into Everyday Mobile Applications Mikko Perttunen
Dao Trong Nghia . . . 328 Location-Based Services for Scientists in NRENs Stefan Winter
  • Dao Trong Nghia . . . 328 Location-Based Services for Scientists in NRENs Stefan Winter