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...
Gespeichert in:
Veröffentlicht in: | IEEE transactions on visualization and computer graphics 2022-11, Vol.28 (11), p.3778-3787 |
---|---|
Hauptverfasser: | , , , , |
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 & 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 |