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                <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.2024.36.11.HVEI-214</article-id>
                    <article-id pub-id-type="publisher-id">HVEI-214</article-id>
                    <article-categories>
                        <subj-group>
                        <subject>Proceedings Paper</subject>
                        </subj-group>
                    </article-categories>
                    <title-group>
                        <article-title>Egocentric Boundaries on Distinguishing Colliding and Non-Colliding Pedestrians while Walking in a Virtual Environment</article-title>
                    </title-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                            <surname>Hwang</surname>
                            <given-names>Alex D.</given-names>
                           </name> <xref ref-type="aff" rid="aff1author1"/> <xref ref-type="aff" rid="aff2author1"/></contrib><aff id="aff1author1">Schepens Eye Research Institute of Massachusetts Eye and Ear, US</aff><aff id="aff2author1">Harvard Medical School, US</aff></contrib-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                            <surname>Jung</surname>
                            <given-names>Jaehyun </given-names>
                           </name> <xref ref-type="aff" rid="aff1author2"/> <xref ref-type="aff" rid="aff2author2"/></contrib><aff id="aff1author2">Schepens Eye Research Institute of Massachusetts Eye and Ear, US</aff><aff id="aff2author2">Harvard Medical School, US</aff></contrib-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                            <surname>Bowers</surname>
                            <given-names>Alex </given-names>
                           </name> <xref ref-type="aff" rid="aff1author3"/> <xref ref-type="aff" rid="aff2author3"/></contrib><aff id="aff1author3">Schepens Eye Research Institute of Massachusetts Eye and Ear, US</aff><aff id="aff2author3">Harvard Medical School, US</aff></contrib-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                            <surname>Peli</surname>
                            <given-names>Eli </given-names>
                           </name> <xref ref-type="aff" rid="aff1author4"/> <xref ref-type="aff" rid="aff2author4"/></contrib><aff id="aff1author4">Schepens Eye Research Institute of Massachusetts Eye and Ear, US</aff><aff id="aff2author4">Harvard Medical School, US</aff></contrib-group><abstract>
                    <title>Abstract</title>
                    <p>Avoiding person-to-person collisions is critical for visual field loss patients. Any intervention claiming to improve the safety of such patients should empirically demonstrate its efficacy. To design a VR mobility testing platform presenting multiple pedestrians, a distinction between colliding and non-colliding pedestrians must be clearly defined. We measured nine normally sighted subjects’ collision envelopes (CE; an egocentric boundary distinguishing collision and non-collision) and found it changes based on the approaching pedestrian’s bearing angle and speed. For person-to-person collision events for the VR mobility testing platform, non-colliding pedestrians should not evade the CE.</p>
                    </abstract><pub-date>
                        <day>21</day>
                        <month>1</month>
                        <year>2024</year>
                        </pub-date><volume>36</volume>
                    <issue-acronym>HVEI</issue-acronym>
                    <issue-title>Human Vision and Electronic Imaging 2024</issue-title>
                    <issue seq="214">11</issue>
                    <fpage>214-1</fpage>
                    <lpage>214-8</lpage>
                    <permissions>
                         <copyright-statement>© 2024, Society for Imaging Science and Technology</copyright-statement>
                        <copyright-year>2024</copyright-year>
                    </permissions><kwd-group><kwd>Pedestrian collision</kwd><kwd>Virtual reality</kwd><kwd>Collision envelope</kwd><kwd>Collision perception</kwd><kwd>Walking simulator</kwd></kwd-group></article-meta>
                </front>
                </article>