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                    <article article-type="research-article">
                    <front>
                        <journal-meta>
                        <journal-id journal-id-type="publisher-id">ei</journal-id>
                        <journal-title>Electronic Imaging</journal-title>
                        <issn pub-type="ppub">2470-1173</issn><issn pub-type="epub">2470-1173</issn>
                        <publisher>
                            <publisher-name>Society for Imaging Science and Technology</publisher-name>
                            <publisher-loc>IS&amp;T 7003 Kilworth Lane, Springfield, VA 22151 USA</publisher-loc>
                        </publisher>
                        </journal-meta>
                        <article-meta>
                        <article-id pub-id-type="doi">10.2352/EI.2022.34.11.HVEI-132</article-id>
                        <article-id pub-id-type="publisher-id">HVEI-132</article-id>
                        <article-categories>
                            <subj-group>
                            <subject>Article</subject>
                            </subj-group>
                        </article-categories>
                        <title-group>
                            <article-title>Analysis of differences between skilled and novice subjects for visual inspection by using eye trackers</article-title>
                        </title-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                                <surname>Ashida</surname>
                                <given-names>Koichi </given-names>
                               </name> <xref ref-type="aff" rid="aff1author1"/></contrib><aff id="aff1author1">Chiba University, Japan</aff></contrib-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                                <surname>Kaneda</surname>
                                <given-names>Atsuyuki </given-names>
                               </name> <xref ref-type="aff" rid="aff1author2"/></contrib><aff id="aff1author2">Chiba University, Japan</aff></contrib-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                                <surname>Ishizuki</surname>
                                <given-names>Toshihiro </given-names>
                               </name> <xref ref-type="aff" rid="aff1author3"/></contrib><aff id="aff1author3">Chiba University, Japan</aff></contrib-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                                <surname>Sato</surname>
                                <given-names>Shuichi </given-names>
                               </name> <xref ref-type="aff" rid="aff1author4"/></contrib><aff id="aff1author4">Chiba University, Japan</aff></contrib-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                                <surname>Tsumura</surname>
                                <given-names>Norimichi </given-names>
                               </name> <xref ref-type="aff" rid="aff1author5"/></contrib><aff id="aff1author5">Chiba University, Japan</aff></contrib-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                                <surname>Tose</surname>
                                <given-names>Akira </given-names>
                               </name> <xref ref-type="aff" rid="aff1author6"/></contrib><aff id="aff1author6">Chiba University, Japan</aff></contrib-group><abstract>
                        <title>Abstract</title>
                        <p>In this study, we developed a learning model to discriminate between skilled and novice users in visual inspection by visualizing their skills in the direction of gaze using an eye tracker. This model enabled us to analyze the difference in skill between skilled and novice users.</p>
                        </abstract><pub-date>
                            <day>16</day>
                            <month>01</month>
                            <year>2022</year>
                            </pub-date><volume>34</volume>
                        <issue-acronym>HVEI</issue-acronym>
                        <issue>11</issue>
                        <fpage>132-1</fpage>
                        <lpage>132-5</lpage>
                        <permissions>
                             <copyright-statement>© 2022, Society for Imaging Science and Technology</copyright-statement>
                            <copyright-year>2022</copyright-year>
                        </permissions><kwd-group><kwd>Visual Inspection</kwd><kwd> Eye Trackers</kwd><kwd> Skilled Subject</kwd><kwd> Novice Subject</kwd></kwd-group></article-meta>
                    </front>
                    </article>