MARVIS: Combining Mobile Devices and Augmented Reality for Visual Data Analysis

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Abstract

We present Marvis, a conceptual framework that combines mobile devices and head-mounted Augmented Reality (AR) for visual data analysis. We propose novel concepts and techniques addressing visualization-specifc challenges. By showing additional 2D and 3D information around and above displays, we extend their limited screen space. AR views between displays as well as linking and brushing are also supported, making relationships between separated visualizations plausible. We introduce the design process and rationale for our techniques. To validate Marvis' concepts and show their versatility and widespread applicability, we describe six implemented example use cases. Finally, we discuss insights from expert hands-on reviews. As a result, we contribute to a better understanding of how the combination of one or more mobile devices with AR can beneft visual data analysis. By exploring this new type of visualization environment, we hope to provide a foundation and inspiration for future mobile data visualizations.

Details

OriginalspracheEnglisch
TitelCHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
ErscheinungsortNew York, NY, USA
Herausgeber (Verlag)Association for Computing Machinery (ACM), New York
Seitenumfang17
ISBN (Print)978-1-4503-8096-6
PublikationsstatusVeröffentlicht - Juni 2021
Peer-Review-StatusJa

Externe IDs

Scopus 85106088749
ORCID /0000-0002-1952-8302/work/142239530
ORCID /0000-0002-3548-723X/work/142245498
ORCID /0000-0003-4519-2168/work/142253685
ORCID /0000-0002-2176-876X/work/151435387
Mendeley d551ae69-53e7-37d6-ad68-219bde34222e

Schlagworte

Schlagwörter

  • augmented displays, cross-device interaction, data analysis, data visualization, head-mounted augmented reality, immersive analytics, mobile data visualization, mobile devices, Mobile data visualization, Data analysis, Head-mounted augmented reality, Immersive analytics, Augmented displays, Mobile devices, Data visualization, Cross-device interaction