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.
|Title of host publication||CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems|
|Place of Publication||New York, NY, USA|
|Publisher||Association for Computing Machinery (ACM), New York|
|Number of pages||17|
|Publication status||Published - 2021|
- immersive analytics, mobile devices, head-mounted augmented reality, data visualization, data analysis, cross-device interaction, mobile data visualization, augmented displays