Social MediARverse Investigating Users Social Media Content Sharing and Consuming Intentions with Location-Based AR

Fuente: arXiv
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Autores principales: Hirsch, Linda, Müller, Florian, Kruse, Mari, Butz, Andreas, Welsch, Robin
Formato: Preprint
Publicado: 2024
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author Hirsch, Linda
Müller, Florian
Kruse, Mari
Butz, Andreas
Welsch, Robin
author_facet Hirsch, Linda
Müller, Florian
Kruse, Mari
Butz, Andreas
Welsch, Robin
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2409_00211
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Social MediARverse Investigating Users Social Media Content Sharing and Consuming Intentions with Location-Based AR
Hirsch, Linda
Müller, Florian
Kruse, Mari
Butz, Andreas
Welsch, Robin
Human-Computer Interaction
Social and Information Networks
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.
title Social MediARverse Investigating Users Social Media Content Sharing and Consuming Intentions with Location-Based AR
topic Human-Computer Interaction
Social and Information Networks
url https://arxiv.org/abs/2409.00211