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

要旨

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.

著者
Ricardo Langner
Technische Universität Dresden, Dresden, Germany
Marc Satkowski
Technische Universität Dresden, Dresden, Germany
Wolfgang Büschel
Technische Universität Dresden, Dresden, Germany
Raimund Dachselt
Technische Universität Dresden, Dresden, Germany
DOI

10.1145/3411764.3445593

論文URL

https://doi.org/10.1145/3411764.3445593

動画

会議: CHI 2021

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2021.acm.org/)

セッション: Novel Visualization Techniques

[A] Paper Room 09, 2021-05-11 17:00:00~2021-05-11 19:00:00 / [B] Paper Room 09, 2021-05-12 01:00:00~2021-05-12 03:00:00 / [C] Paper Room 09, 2021-05-12 09:00:00~2021-05-12 11:00:00
Paper Room 09
15 件の発表
2021-05-11 17:00:00
2021-05-11 19:00:00
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