MapNexus : a framework to derive human intent from architectural space to enable context-aware information exchanges in a wireless intranet

Architectural interior spaces provide a rich syntax for context-aware modeling. In a wireless wide area network (WAN), an urban environment can be geographically tessellated into a series of polygons reflecting the radio transmission range of each wireless access point (AP). By using these APs as spatial aggregation units in a relational database, logical assumptions about short-term behavioral patterns can be modelled; this paper describes a method to capture, encode, and interpret context-aware cues. These cues are then utilized by an intranet web server to produce context-aware output, information that fits the client's short-term activity landscape and intentions. The method does not require any special client-side software and preserves the user's anonymity as it derives the client's physical location implicitly. Such a framework permits a new type of context-aware web interaction based upon the logical "common sense" patterns that are specific to architectural interior spaces at a given time.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Urban Studies and Planning.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2004

Author dc:creator

• Fuller, Napier Sandford

Advisor dc:contributor.advisor

• Joseph Ferreira.

• Urban Studies and Planning.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/34559

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/34559