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

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review


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-specific 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 benefit visual data analysis. By exploring this new type of visualization environment, we hope to provide a foundation and inspiration for future mobile data visualizations.


Original languageEnglish
Title of host publicationCHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Place of PublicationNew York, NY, USA
PublisherAssociation for Computing Machinery (ACM), New York
Number of pages17
ISBN (print)978-1-4503-8096-6
Publication statusPublished - 2021

External 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



  • immersive analytics, mobile devices, head-mounted augmented reality, data visualization, data analysis, cross-device interaction, mobile data visualization, augmented displays