Social MediARverse Investigating Users Social Media Content Sharing and Consuming Intentions with Location-Based AR
Augmented Reality (AR) is evolving to become the next frontier in social media, merging physical and virtual reality into a living metaverse, a Social MediARverse. With this transition, we must understand how different contexts (public, semi-public, and private) affect user engagement with AR conten...
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creator | Hirsch, Linda Müller, Florian Kruse, Mari Butz, Andreas Welsch, Robin |
description | Augmented Reality (AR) is evolving to become the next frontier in social
media, merging physical and virtual reality into a living metaverse, a Social
MediARverse. With this transition, we must understand how different contexts
(public, semi-public, and private) affect user engagement with AR content. We
address this gap in current research by conducting an online survey with 110
participants, showcasing 36 AR videos, and polling them about the content's fit
and appropriateness. Specifically, we manipulated these three spaces, two forms
of dynamism (dynamic vs. static), and two dimensionalities (2D vs. 3D). Our
findings reveal that dynamic AR content is generally more favorably received
than static content. Additionally, users find sharing and engaging with AR
content in private settings more comfortable than in others. By this, the study
offers valuable insights for designing and implementing future Social
MediARverses and guides industry and academia on content visualization and
contextual considerations. |
doi_str_mv | 10.48550/arxiv.2409.00211 |
format | Article |
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media, merging physical and virtual reality into a living metaverse, a Social
MediARverse. With this transition, we must understand how different contexts
(public, semi-public, and private) affect user engagement with AR content. We
address this gap in current research by conducting an online survey with 110
participants, showcasing 36 AR videos, and polling them about the content's fit
and appropriateness. Specifically, we manipulated these three spaces, two forms
of dynamism (dynamic vs. static), and two dimensionalities (2D vs. 3D). Our
findings reveal that dynamic AR content is generally more favorably received
than static content. Additionally, users find sharing and engaging with AR
content in private settings more comfortable than in others. By this, the study
offers valuable insights for designing and implementing future Social
MediARverses and guides industry and academia on content visualization and
contextual considerations.</description><identifier>DOI: 10.48550/arxiv.2409.00211</identifier><language>eng</language><subject>Computer Science - Human-Computer Interaction ; Computer Science - Social and Information Networks</subject><creationdate>2024-08</creationdate><rights>http://creativecommons.org/licenses/by-nc-nd/4.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,778,883</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2409.00211$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2409.00211$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Hirsch, Linda</creatorcontrib><creatorcontrib>Müller, Florian</creatorcontrib><creatorcontrib>Kruse, Mari</creatorcontrib><creatorcontrib>Butz, Andreas</creatorcontrib><creatorcontrib>Welsch, Robin</creatorcontrib><title>Social MediARverse Investigating Users Social Media Content Sharing and Consuming Intentions with Location-Based AR</title><description>Augmented Reality (AR) is evolving to become the next frontier in social
media, merging physical and virtual reality into a living metaverse, a Social
MediARverse. With this transition, we must understand how different contexts
(public, semi-public, and private) affect user engagement with AR content. We
address this gap in current research by conducting an online survey with 110
participants, showcasing 36 AR videos, and polling them about the content's fit
and appropriateness. Specifically, we manipulated these three spaces, two forms
of dynamism (dynamic vs. static), and two dimensionalities (2D vs. 3D). Our
findings reveal that dynamic AR content is generally more favorably received
than static content. Additionally, users find sharing and engaging with AR
content in private settings more comfortable than in others. By this, the study
offers valuable insights for designing and implementing future Social
MediARverses and guides industry and academia on content visualization and
contextual considerations.</description><subject>Computer Science - Human-Computer Interaction</subject><subject>Computer Science - Social and Information Networks</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNqFjrEOgjAQhrs4GPUBnLwXAItCoiMSjSS6gM7kAhUugWLaivr2UuLg5nT5_vuGj7G5x11_EwR8iepFnbvy-dblfOV5Y6bTNies4SwKCpNOKC0glp3Qhko0JEu46n6EHw0haqUR0kBaobIKysJu-tFYiocn9QxPMhWc2hwtOjvUooAwmbLRDWstZt87YYvD_hIdnSEvuytqUL0zm5kNmev_xgfvUUkH</recordid><startdate>20240830</startdate><enddate>20240830</enddate><creator>Hirsch, Linda</creator><creator>Müller, Florian</creator><creator>Kruse, Mari</creator><creator>Butz, Andreas</creator><creator>Welsch, Robin</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20240830</creationdate><title>Social MediARverse Investigating Users Social Media Content Sharing and Consuming Intentions with Location-Based AR</title><author>Hirsch, Linda ; Müller, Florian ; Kruse, Mari ; Butz, Andreas ; Welsch, Robin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-arxiv_primary_2409_002113</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Computer Science - Human-Computer Interaction</topic><topic>Computer Science - Social and Information Networks</topic><toplevel>online_resources</toplevel><creatorcontrib>Hirsch, Linda</creatorcontrib><creatorcontrib>Müller, Florian</creatorcontrib><creatorcontrib>Kruse, Mari</creatorcontrib><creatorcontrib>Butz, Andreas</creatorcontrib><creatorcontrib>Welsch, Robin</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Hirsch, Linda</au><au>Müller, Florian</au><au>Kruse, Mari</au><au>Butz, Andreas</au><au>Welsch, Robin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Social MediARverse Investigating Users Social Media Content Sharing and Consuming Intentions with Location-Based AR</atitle><date>2024-08-30</date><risdate>2024</risdate><abstract>Augmented Reality (AR) is evolving to become the next frontier in social
media, merging physical and virtual reality into a living metaverse, a Social
MediARverse. With this transition, we must understand how different contexts
(public, semi-public, and private) affect user engagement with AR content. We
address this gap in current research by conducting an online survey with 110
participants, showcasing 36 AR videos, and polling them about the content's fit
and appropriateness. Specifically, we manipulated these three spaces, two forms
of dynamism (dynamic vs. static), and two dimensionalities (2D vs. 3D). Our
findings reveal that dynamic AR content is generally more favorably received
than static content. Additionally, users find sharing and engaging with AR
content in private settings more comfortable than in others. By this, the study
offers valuable insights for designing and implementing future Social
MediARverses and guides industry and academia on content visualization and
contextual considerations.</abstract><doi>10.48550/arxiv.2409.00211</doi><oa>free_for_read</oa></addata></record> |
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subjects | Computer Science - Human-Computer Interaction Computer Science - Social and Information Networks |
title | Social MediARverse Investigating Users Social Media Content Sharing and Consuming Intentions with Location-Based AR |
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