Making Resets away from Targets: POI aware Redirected Walking

Rapidly developing Redirected Walking (ROW) technologies have enabled VR applications to immerse users in large virtual environments (VE) while actually walking in relatively small physical environments (PE). When an unavoidable collision emerges in a PE, the ROW controller suspends the user's...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on visualization and computer graphics 2022-11, Vol.28 (11), p.3778-3787
Hauptverfasser: Xu, Sen-Zhe, Liu, Tian-Qi, Liu, Jia-Hong, Zollmann, Stefanie, Zhang, Song-Hai
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 3787
container_issue 11
container_start_page 3778
container_title IEEE transactions on visualization and computer graphics
container_volume 28
creator Xu, Sen-Zhe
Liu, Tian-Qi
Liu, Jia-Hong
Zollmann, Stefanie
Zhang, Song-Hai
description Rapidly developing Redirected Walking (ROW) technologies have enabled VR applications to immerse users in large virtual environments (VE) while actually walking in relatively small physical environments (PE). When an unavoidable collision emerges in a PE, the ROW controller suspends the user's immersive experience and resets the user to a new direction in PE. Existing ROW methods mainly aim to reduce the number of resets. However, from the perspective of the user experience, when users are about to reach a point of interest (POI) in a VE, reset interruptions are more likely to have an impact on user experience. In this paper, we propose a new ROW method, aiming to keep resets occurring at a longer distance from the virtual target, as well as to reduce the number of resets. Simulation experiments and real user studies demonstrate that our method outperforms state-of-the-art ROW methods in the number of resets and dramatically increases the distance between the reset locations and the virtual targets.
doi_str_mv 10.1109/TVCG.2022.3203095
format Article
fullrecord <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_miscellaneous_2712846221</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9881577</ieee_id><sourcerecordid>2712846221</sourcerecordid><originalsourceid>FETCH-LOGICAL-c326t-c05359fd32a3dc64612511ffdad6ecf24d423588ab546cd7937fbd890710c0813</originalsourceid><addsrcrecordid>eNpdkE1Lw0AQhhdRbK3-APES8OIldXb2M4IHKVoLlYpUPYbt7qaktk3dTZH-exNaPHia4eV5h-Eh5JJCn1LIbqcfg2EfAbHPEBhk4oh0acZpCgLkcbODUilKlB1yFuMCgHKus1PSYRIU10p0yf2L-SrX8-TNR1_HxPyYXVKEapVMTZg3yV3yOhm1cfAN48rgbe1d8mmWbe2cnBRmGf3FYfbI-9PjdPCcjifD0eBhnFqGsk4tCCaywjE0zFnJJUVBaVE446S3BXLHkQmtzUxwaZ3KmCpmTmegKFjQlPXIzf7uJlTfWx_rfFVG65dLs_bVNuaoKGouEVv0-h-6qLZh3XzXUKiAowbWUHRP2VDFGHyRb0K5MmGXU8hbt3nrNm_d5ge3Tedq3ym99398pjUVSrFf0Xlwsw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2727042803</pqid></control><display><type>article</type><title>Making Resets away from Targets: POI aware Redirected Walking</title><source>IEEE Electronic Library (IEL)</source><creator>Xu, Sen-Zhe ; Liu, Tian-Qi ; Liu, Jia-Hong ; Zollmann, Stefanie ; Zhang, Song-Hai</creator><creatorcontrib>Xu, Sen-Zhe ; Liu, Tian-Qi ; Liu, Jia-Hong ; Zollmann, Stefanie ; Zhang, Song-Hai</creatorcontrib><description>Rapidly developing Redirected Walking (ROW) technologies have enabled VR applications to immerse users in large virtual environments (VE) while actually walking in relatively small physical environments (PE). When an unavoidable collision emerges in a PE, the ROW controller suspends the user's immersive experience and resets the user to a new direction in PE. Existing ROW methods mainly aim to reduce the number of resets. However, from the perspective of the user experience, when users are about to reach a point of interest (POI) in a VE, reset interruptions are more likely to have an impact on user experience. In this paper, we propose a new ROW method, aiming to keep resets occurring at a longer distance from the virtual target, as well as to reduce the number of resets. Simulation experiments and real user studies demonstrate that our method outperforms state-of-the-art ROW methods in the number of resets and dramatically increases the distance between the reset locations and the virtual targets.</description><identifier>ISSN: 1077-2626</identifier><identifier>EISSN: 1941-0506</identifier><identifier>DOI: 10.1109/TVCG.2022.3203095</identifier><identifier>PMID: 36074875</identifier><identifier>CODEN: ITVGEA</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Distortion ; Legged locomotion ; POI ; Portals ; redirected walking ; Reinforcement learning ; reset ; User experience ; Virtual environments ; Virtual Reality ; Visualization</subject><ispartof>IEEE transactions on visualization and computer graphics, 2022-11, Vol.28 (11), p.3778-3787</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c326t-c05359fd32a3dc64612511ffdad6ecf24d423588ab546cd7937fbd890710c0813</citedby><cites>FETCH-LOGICAL-c326t-c05359fd32a3dc64612511ffdad6ecf24d423588ab546cd7937fbd890710c0813</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9881577$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9881577$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Xu, Sen-Zhe</creatorcontrib><creatorcontrib>Liu, Tian-Qi</creatorcontrib><creatorcontrib>Liu, Jia-Hong</creatorcontrib><creatorcontrib>Zollmann, Stefanie</creatorcontrib><creatorcontrib>Zhang, Song-Hai</creatorcontrib><title>Making Resets away from Targets: POI aware Redirected Walking</title><title>IEEE transactions on visualization and computer graphics</title><addtitle>TVCG</addtitle><description>Rapidly developing Redirected Walking (ROW) technologies have enabled VR applications to immerse users in large virtual environments (VE) while actually walking in relatively small physical environments (PE). When an unavoidable collision emerges in a PE, the ROW controller suspends the user's immersive experience and resets the user to a new direction in PE. Existing ROW methods mainly aim to reduce the number of resets. However, from the perspective of the user experience, when users are about to reach a point of interest (POI) in a VE, reset interruptions are more likely to have an impact on user experience. In this paper, we propose a new ROW method, aiming to keep resets occurring at a longer distance from the virtual target, as well as to reduce the number of resets. Simulation experiments and real user studies demonstrate that our method outperforms state-of-the-art ROW methods in the number of resets and dramatically increases the distance between the reset locations and the virtual targets.</description><subject>Distortion</subject><subject>Legged locomotion</subject><subject>POI</subject><subject>Portals</subject><subject>redirected walking</subject><subject>Reinforcement learning</subject><subject>reset</subject><subject>User experience</subject><subject>Virtual environments</subject><subject>Virtual Reality</subject><subject>Visualization</subject><issn>1077-2626</issn><issn>1941-0506</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkE1Lw0AQhhdRbK3-APES8OIldXb2M4IHKVoLlYpUPYbt7qaktk3dTZH-exNaPHia4eV5h-Eh5JJCn1LIbqcfg2EfAbHPEBhk4oh0acZpCgLkcbODUilKlB1yFuMCgHKus1PSYRIU10p0yf2L-SrX8-TNR1_HxPyYXVKEapVMTZg3yV3yOhm1cfAN48rgbe1d8mmWbe2cnBRmGf3FYfbI-9PjdPCcjifD0eBhnFqGsk4tCCaywjE0zFnJJUVBaVE446S3BXLHkQmtzUxwaZ3KmCpmTmegKFjQlPXIzf7uJlTfWx_rfFVG65dLs_bVNuaoKGouEVv0-h-6qLZh3XzXUKiAowbWUHRP2VDFGHyRb0K5MmGXU8hbt3nrNm_d5ge3Tedq3ym99398pjUVSrFf0Xlwsw</recordid><startdate>20221101</startdate><enddate>20221101</enddate><creator>Xu, Sen-Zhe</creator><creator>Liu, Tian-Qi</creator><creator>Liu, Jia-Hong</creator><creator>Zollmann, Stefanie</creator><creator>Zhang, Song-Hai</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7X8</scope></search><sort><creationdate>20221101</creationdate><title>Making Resets away from Targets: POI aware Redirected Walking</title><author>Xu, Sen-Zhe ; Liu, Tian-Qi ; Liu, Jia-Hong ; Zollmann, Stefanie ; Zhang, Song-Hai</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c326t-c05359fd32a3dc64612511ffdad6ecf24d423588ab546cd7937fbd890710c0813</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Distortion</topic><topic>Legged locomotion</topic><topic>POI</topic><topic>Portals</topic><topic>redirected walking</topic><topic>Reinforcement learning</topic><topic>reset</topic><topic>User experience</topic><topic>Virtual environments</topic><topic>Virtual Reality</topic><topic>Visualization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, Sen-Zhe</creatorcontrib><creatorcontrib>Liu, Tian-Qi</creatorcontrib><creatorcontrib>Liu, Jia-Hong</creatorcontrib><creatorcontrib>Zollmann, Stefanie</creatorcontrib><creatorcontrib>Zhang, Song-Hai</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>MEDLINE - Academic</collection><jtitle>IEEE transactions on visualization and computer graphics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Xu, Sen-Zhe</au><au>Liu, Tian-Qi</au><au>Liu, Jia-Hong</au><au>Zollmann, Stefanie</au><au>Zhang, Song-Hai</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Making Resets away from Targets: POI aware Redirected Walking</atitle><jtitle>IEEE transactions on visualization and computer graphics</jtitle><stitle>TVCG</stitle><date>2022-11-01</date><risdate>2022</risdate><volume>28</volume><issue>11</issue><spage>3778</spage><epage>3787</epage><pages>3778-3787</pages><issn>1077-2626</issn><eissn>1941-0506</eissn><coden>ITVGEA</coden><abstract>Rapidly developing Redirected Walking (ROW) technologies have enabled VR applications to immerse users in large virtual environments (VE) while actually walking in relatively small physical environments (PE). When an unavoidable collision emerges in a PE, the ROW controller suspends the user's immersive experience and resets the user to a new direction in PE. Existing ROW methods mainly aim to reduce the number of resets. However, from the perspective of the user experience, when users are about to reach a point of interest (POI) in a VE, reset interruptions are more likely to have an impact on user experience. In this paper, we propose a new ROW method, aiming to keep resets occurring at a longer distance from the virtual target, as well as to reduce the number of resets. Simulation experiments and real user studies demonstrate that our method outperforms state-of-the-art ROW methods in the number of resets and dramatically increases the distance between the reset locations and the virtual targets.</abstract><cop>New York</cop><pub>IEEE</pub><pmid>36074875</pmid><doi>10.1109/TVCG.2022.3203095</doi><tpages>10</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 1077-2626
ispartof IEEE transactions on visualization and computer graphics, 2022-11, Vol.28 (11), p.3778-3787
issn 1077-2626
1941-0506
language eng
recordid cdi_proquest_miscellaneous_2712846221
source IEEE Electronic Library (IEL)
subjects Distortion
Legged locomotion
POI
Portals
redirected walking
Reinforcement learning
reset
User experience
Virtual environments
Virtual Reality
Visualization
title Making Resets away from Targets: POI aware Redirected Walking
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-03T10%3A09%3A56IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Making%20Resets%20away%20from%20Targets:%20POI%20aware%20Redirected%20Walking&rft.jtitle=IEEE%20transactions%20on%20visualization%20and%20computer%20graphics&rft.au=Xu,%20Sen-Zhe&rft.date=2022-11-01&rft.volume=28&rft.issue=11&rft.spage=3778&rft.epage=3787&rft.pages=3778-3787&rft.issn=1077-2626&rft.eissn=1941-0506&rft.coden=ITVGEA&rft_id=info:doi/10.1109/TVCG.2022.3203095&rft_dat=%3Cproquest_RIE%3E2712846221%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2727042803&rft_id=info:pmid/36074875&rft_ieee_id=9881577&rfr_iscdi=true