<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-21T02:34:46Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/46666" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/46666</identifier><datestamp>2022-05-26T02:05:56Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Henry Holtzman.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Lee, Sanghoon, S.M. Massachusetts Institute of Technology, Dept. of Urban Studies and Planning</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Architecture. Program in Media Arts and Sciences.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Program in Media Arts and Sciences (Massachusetts Institute of Technology)</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2009-08-26T17:15:44Z</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">428087512</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2009.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (leaves 62-64).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Many ubiquitous computing scenarios are enabled by the ability to detect and identify objects in a user's environment, and recently Radio Frequency Identification (RFID) has been considered an affordable technology for providing such ability. However, RFID approaches have been flawed: when they operate at long range, they fail to provide adequate context as to which tagged objects are the subject of the user's interest; and when tuned for short range operation, they require the user to explicitly scan the tagged object. In addition, the knowledge gained from the user interacting with the object is limited to identification. This thesis proposes an ambient metaphor for detecting daily environments suitable for the upcoming far-field UHF RFID infrastructure. A user carries a mobile RFID reader, which creates a sphere of detection field to monitor RFID tags surrounding the user. The reader silently monitors the objects and functions as an agent that supports the user's consciousness of events happening outside of the user's attention. With sensor-enhanced RFID tags, our system does not limit itself to identification, but also provides the status of the corresponding item. The data from the sensors are used to distinguish a tag in a multiple tag environment and to describe the interactions between the user and the host object. This improves the selectivity and the context-awareness of the system.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Sanghoon Lee.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">69 leaves</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">M.I.T. theses are protected by 
copyright. They may be viewed from this source for any purpose, but 
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   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Architecture. Program in Media Arts and Sciences.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Infofield : an aura recognizing digital information of everyday environment</dim:field>
   <dim:field mdschema="dc" element="title" qualifier="alternative" lang="en_US">Aura recognizing digital information of everyday environment</dim:field>
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   	&lt;Title>Infofield : an aura recognizing digital information of everyday environment&lt;/Title>
   	&lt;Subtitle>Aura recognizing digital information of everyday environment&lt;/Subtitle>
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   	&lt;PublicationDate>2009&lt;/PublicationDate>
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   	&lt;Abstract>Many ubiquitous computing scenarios are enabled by the ability to detect and identify objects in a user&amp;apos;s environment, and recently Radio Frequency Identification (RFID) has been considered an affordable technology for providing such ability. However, RFID approaches have been flawed: when they operate at long range, they fail to provide adequate context as to which tagged objects are the subject of the user&amp;apos;s interest; and when tuned for short range operation, they require the user to explicitly scan the tagged object. In addition, the knowledge gained from the user interacting with the object is limited to identification. This thesis proposes an ambient metaphor for detecting daily environments suitable for the upcoming far-field UHF RFID infrastructure. A user carries a mobile RFID reader, which creates a sphere of detection field to monitor RFID tags surrounding the user. The reader silently monitors the objects and functions as an agent that supports the user&amp;apos;s consciousness of events happening outside of the user&amp;apos;s attention. With sensor-enhanced RFID tags, our system does not limit itself to identification, but also provides the status of the corresponding item. The data from the sensors are used to distinguish a tag in a multiple tag environment and to describe the interactions between the user and the host object. This improves the selectivity and the context-awareness of the system.&lt;/Abstract>
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