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Data-driven Storytelling in Hybrid Immersive Display Environments

Authors :
Zhou, Xiaoyan
Yang, Yalong
Ortega, Francisco
Batmaz, Anil Ufuk
Lee, Benjamin
Publication Year :
2023

Abstract

Data-driven stories seek to inform and persuade audiences through the use of data visualisations and engaging narratives. These stories have now been highly optimised to be viewed on desktop and mobile computers. In contrast, while immersive virtual and augmented reality (VR/AR) technologies have been shown to be more persuasive, no clear standard has yet emerged for such immersive stories. With this in mind, we propose that a hybrid data-driven storytelling approach can leverage the familiarity of 2D display devices with the immersiveness and presence afforded by VR/AR headsets. In this position paper, we characterise hybrid data-driven stories by describing its design opportunities, considerations, and challenges. In particular, we describe how both 2D and 3D display environments can play either complementary or symbiotic roles with each other for the purposes of storytelling. We hope that this work inspires researchers to investigate how hybrid user interfaces may be used for storytelling.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2308.13015
Document Type :
Working Paper