MapNexus : a framework to derive human intent from architectural space to enable context-aware information exchanges in a wireless intranet
Author(s)
Fuller, Napier Sandford
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Alternative title
Framework to derive human intent from architectural space to enable context-aware information exchanges in a wireless intranet
Other Contributors
Massachusetts Institute of Technology. Dept. of Urban Studies and Planning.
Advisor
Joseph Ferreira.
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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.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, 2004. Includes bibliographical references (leaves 59-60).
Date issued
2004Department
Massachusetts Institute of Technology. Department of Urban Studies and PlanningPublisher
Massachusetts Institute of Technology
Keywords
Urban Studies and Planning.