<?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>2026-09-19T12:58:26Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/118697" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/118697</identifier><datestamp>2022-01-13T07:53:53Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131024</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">Takehiko Nagakura.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Gu, Tianxia</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Architecture.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Architecture</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2018-10-22T18:45:22Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2018-10-22T18:45:22Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2018</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2018</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/118697</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1056959295</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.B., Massachusetts Institute of Technology, Department of Architecture, 2018.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (page 48).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Throughout history, different tools have been invented to help people navigate in space. The different tools use different modes of representation as abstractions of 3-dimensional space. Two of the representations used in Google Maps, a modem wayfinding technology, are the 3D geographic model mode and the street view panorama mode. In this thesis, we explore the wayfinding behaviors of people in those two representations by performing experiments. We find that each representation mode is advantageous for a different type of city structure (e.g., regular grid vs. irregular streets). Each representation mode is also preferred by people according to their spatial processing type preference and the wayfinding task type they perform. After evaluating our findings from the experiments, we propose a design of a new representation with facade images augmenting a 2D satellite map. We believe this design incorporates the advantages of both representations studied.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Tianxia Gu.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.B.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">68 pages</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">MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.</dim:field>
   <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.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">3D geographic model vs street view panorama a cognitive study on navigation in different Google maps representations</dim:field>
   <dim:field mdschema="dc" element="title" qualifier="alternative" lang="en_US">3D geographic model versus street view panorama a cognitive study on navigation in different Google maps representations</dim:field>
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   	&lt;Title>3D geographic model vs street view panorama a cognitive study on navigation in different Google maps representations&lt;/Title>
   	&lt;Subtitle>3D geographic model versus street view panorama a cognitive study on navigation in different Google maps representations&lt;/Subtitle>
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   	&lt;PublicationDate>2018&lt;/PublicationDate>
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        	&lt;DisplayName>Gu, Tianxia&lt;/DisplayName>
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    &lt;Keyword>Architecture.&lt;/Keyword>
   	&lt;Abstract>Throughout history, different tools have been invented to help people navigate in space. The different tools use different modes of representation as abstractions of 3-dimensional space. Two of the representations used in Google Maps, a modem wayfinding technology, are the 3D geographic model mode and the street view panorama mode. In this thesis, we explore the wayfinding behaviors of people in those two representations by performing experiments. We find that each representation mode is advantageous for a different type of city structure (e.g., regular grid vs. irregular streets). Each representation mode is also preferred by people according to their spatial processing type preference and the wayfinding task type they perform. After evaluating our findings from the experiments, we propose a design of a new representation with facade images augmenting a 2D satellite map. We believe this design incorporates the advantages of both representations studied.&lt;/Abstract>
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