<?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>2026-09-21T09:58:44Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/65785" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/65785</identifier><datestamp>2022-01-13T07:54:52Z</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">Drazen Prelec.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Nakagawa, Takeshi, M.B.A. Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Sloan School of Management.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Sloan School of Management</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2011-09-13T17:52:26Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2011</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2011</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/65785</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">749543037</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management, 2011.</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 (p. 130-132).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Recently, various kinds of biosensors have been developed, which can be used by advertising researchers for their research to understand consumer behavior and responses. At the same time, most advertisers have become more sensitive to marketing ROI, so they need to know real audience response to their advertising. I compare several different biosensors, including Pupillometer, Eye tracking system, EEG, and Multiple EEG, and I find the pros and cons of each for the business purposes of advertising and marketing researchers. Pupillometer and EEG are useful for quantitative analysis to measure ROI, and Eye tracking and Multiple EEG are useful for qualitative analysis to modify advertising by creative planners. I use data from several experiments with these biosensors, and analyze these data quantitatively and qualitatively.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Takeshi Nakagawa.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.B.A.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">132 p.</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 
reproduction or distribution in any format is prohibited without written 
permission. See provided URL for inquiries about 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">Sloan School of Management.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">The feasibility study of applied neuroscience for advertising and marketing research</dim:field>
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   	&lt;Title>The feasibility study of applied neuroscience for advertising and marketing research&lt;/Title>
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   	&lt;PublicationDate>2011&lt;/PublicationDate>
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        	&lt;DisplayName>Nakagawa, Takeshi, M.B.A. Massachusetts Institute of Technology&lt;/DisplayName>
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    &lt;Keyword>Sloan School of Management.&lt;/Keyword>
   	&lt;Abstract>Recently, various kinds of biosensors have been developed, which can be used by advertising researchers for their research to understand consumer behavior and responses. At the same time, most advertisers have become more sensitive to marketing ROI, so they need to know real audience response to their advertising. I compare several different biosensors, including Pupillometer, Eye tracking system, EEG, and Multiple EEG, and I find the pros and cons of each for the business purposes of advertising and marketing researchers. Pupillometer and EEG are useful for quantitative analysis to measure ROI, and Eye tracking and Multiple EEG are useful for qualitative analysis to modify advertising by creative planners. I use data from several experiments with these biosensors, and analyze these data quantitatively and qualitatively.&lt;/Abstract>
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