Documents in Your Hands: Exploring Interaction Techniques for Spatial Arrangement of Augmented Reality DocumentsAugmented Reality (AR) promises to enhance daily office activities involving numerous textual documents, slides, and spreadsheets by expanding workspaces and enabling more direct interaction. However, there is a lack of systematic understanding of how knowledge workers can manage multiple documents and organize, explore, and compare them in AR environments. Therefore, we conducted a user-centered design study (N = 21) using predefined spatial document layouts in AR to elicit interaction techniques, resulting in 790 observation notes. Thematic analysis identified various interaction methods for aggregating, distributing, transforming, inspecting, and navigating document collections. Based on these findings, we propose a design space and distill design implications for AR document arrangement systems, such as enabling body-anchored storage, facilitating layout spreading and compressing, and designing interactions for layout transformation. To demonstrate their usage, we developed a rapid prototyping system and exemplify three envisioned scenarios. With this, we aim to inspire the design of future immersive offices.2025WLWeizhou Luo et al.TUD Dresden University of Technology, Interactive Media Lab DresdenMixed Reality WorkspacesInteractive Data VisualizationKnowledge Worker Tools & WorkflowsCHI
PEARL: Physical Environment based Augmented Reality Lenses for In-Situ Human Movement AnalysisThis paper presents PEARL, a mixed-reality approach for the analysis of human movement data in situ. As the physical environment shapes human motion and behavior, the analysis of such motion can benefit from the direct inclusion of the environment in the analytical process. We present methods for exploring movement data in relation to surrounding regions of interest, such as objects, furniture, and architectural elements. We introduce concepts for selecting and filtering data through direct interaction with the environment, and a suite of visualizations for revealing aggregated and emergent spatial and temporal relations. More sophisticated analysis is supported through complex queries comprising multiple regions of interest. To illustrate the potential of PEARL, we developed an Augmented Reality-based prototype and conducted expert review sessions and scenario walkthroughs in a simulated exhibition. Our contribution lays the foundation for leveraging the physical environment in the in-situ analysis of movement data.2023WLWeizhou Luo et al.Technische Universität DresdenHuman Pose & Activity RecognitionAR Navigation & Context AwarenessCHI
STRAIDE: A Research Platform for Shape-Changing Spatial Displays based on Actuated StringsWe present STRAIDE, a string-actuated interactive display environment that allows to explore the promising potential of shape-changing interfaces for casual visualizations. At the core, we envision a platform that spatially levitates elements to create dynamic visual shapes in space. We conceptualize this type of tangible mid-air display and discuss its multifaceted design dimensions. Through a design exploration, we realize a physical research platform with adjustable parameters and modular components. For conveniently designing and implementing novel applications, we provide developer tools ranging from graphical emulators to in-situ augmented reality representations. To demonstrate STRAIDE's reconfigurability, we further introduce three representative physical setups as a basis for situated applications including ambient notifications, personal smart home controls, and entertainment. They serve as a technical validation, lay the foundations for a discussion with developers that provided valuable insights, and encourage ideas for future usage of this type of appealing interactive installation.2022SESeverin Engert et al.Technische Universität DresdenShape-Changing Interfaces & Soft Robotic MaterialsPrototyping & User TestingCHI
AvatAR: An Immersive Analysis Environment for Human Motion Data Combining Interactive 3D Avatars and TrajectoriesAnalysis of human motion data can reveal valuable insights about the utilization of space and interaction of humans with their environment. To support this, we present AvatAR, an immersive analysis environment for the in-situ visualization of human motion data, that combines 3D trajectories, virtual avatars of people’s movement, and a detailed representation of their posture. Additionally, we describe how to embed visualizations directly into the environment, showing what a person looked at or what surfaces they touched, and how the avatar’s body parts can be used to access and manipulate those visualizations. AvatAR combines an AR HMD with a tablet to provide both mid-air and touch interaction for system control, as well as an additional overview to help users navigate the environment. We implemented a prototype and present several scenarios to show that AvatAR can enhance the analysis of human motion data by making data not only explorable, but experienceable.2022PRPatrick Reipschläger et al.Autodesk Research, Technische Universität DresdenHuman Pose & Activity RecognitionSocial & Collaborative VRAR Navigation & Context AwarenessCHI
Where Should We Put It? Layout and Placement Strategies of Documents in Augmented Reality for Collaborative SensemakingFuture offices are likely reshaped by Augmented Reality (AR) extending the display space while maintaining awareness of surroundings, and thus promise to support collaborative tasks such as brainstorming or sensemaking. However, it is unclear how physical surroundings and co-located collaboration influence the spatial organization of virtual content for sensemaking. Therefore, we conducted a study (N=28) to investigate the effect of office environments and work styles during a document classification task using AR with regard to content placement, layout strategies, and sensemaking workflows. Results show that participants require furniture, especially tables and whiteboards, to assist sensemaking and collaboration regardless of room settings, while generous free spaces (e.g., walls) are likely used when available. Moreover, collaborating participants tend to use furniture despite personal layout preferences. We identified different placement and layout strategies, as well as the transitions in-between. Finally, we propose design implications for future immersive sensemaking applications and beyond.2022WLWeizhou Luo et al.Technische Universität DresdenV2X (Vehicle-to-Everything) Communication DesignMixed Reality WorkspacesCHI
MARVIS: Combining Mobile Devices and Augmented Reality for Visual Data AnalysisWe 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.2021RLRicardo Langner et al.Technische Universität DresdenAR Navigation & Context AwarenessInteractive Data VisualizationCHI
MIRIA: A Mixed Reality Toolkit for the In-Situ Visualization and Analysis of Spatio-Temporal Interaction DataIn this paper, we present MIRIA, a Mixed Reality Interaction Analysis toolkit designed to support the in-situ visual analysis of user interaction in mixed reality and multi-display environments. So far, there are few options to effectively explore and analyze interaction patterns in such novel computing systems. With MIRIA, we address this gap by supporting the analysis of user movement, spatial interaction, and event data by multiple, co-located users directly in the original environment. Based on our own experiences and an analysis of the typical data, tasks, and visualizations used in existing approaches, we identify requirements for our system. We report on the design and prototypical implementation of MIRIA, which is informed by these requirements and offers various visualizations such as 3D movement trajectories, position heatmaps, and scatterplots. To demonstrate the value of MIRIA for real-world analysis tasks, we conducted expert feedback sessions using several use cases with authentic study data.2021WBWolfgang Büschel et al.Technische Universität DresdenHuman Pose & Activity RecognitionMixed Reality WorkspacesInteractive Data VisualizationCHI
Investigating the Impact of Real-World Environments on the Perception of 2D Visualizations in Augmented RealityIn this work we report on two comprehensive user studies investigating the perception of Augmented Reality (AR) visualizations influenced by real-world backgrounds. Since AR is an emerging technology, it is important to also consider productive use cases, which is why we chose an exemplary and challenging industry 4.0 environment. Our basic perceptual research focuses on both the visual complexity of backgrounds as well as the influence of a secondary task. In contrast to our expectation, data of our 34 study participants indicate that the background has far less influence on the perception of AR visualizations. Moreover, we observed a mismatch between measured and subjectively reported performance. We discuss the importance of the background and recommendations for visual real-world augmentations. Overall, our results suggest that AR can be used in many visually challenging environments without losing the ability to productively work with the visualizations shown.2021MSMarc Satkowski et al.Technische Universität DresdenAR Navigation & Context AwarenessVisualization Perception & CognitionCHI
Rapid Iron-On User Interfaces: Hands-on Fabrication of Interactive Textile PrototypesRapid prototyping of interactive textiles is still challenging, since manual skills, several processing steps, and expert knowledge are involved. We present Rapid Iron-On User Interfaces, a novel fabrication approach for empowering designers and makers to enhance fabrics with interactive functionalities. It builds on heat-activated adhesive materials consisting of smart textiles and printed electronics, which can be flexibly ironed onto the fabric to create custom interface functionality. To support rapid fabrication in a sketching-like fashion, we developed a handheld dispenser tool for directly applying continuous functional tapes of desired length as well as discrete patches. We introduce versatile compositions techniques that allow for creating complex circuits, utilizing commodity textile accessories and sketching custom-shaped I/O modules. We further contribute a comprehensive library of components for input, output, wiring and computing. Three example applications, results from technical experiments and expert reviews demonstrate the functionality, versatility and potential of this approach.2020KKKonstantin Klamka et al.Technische Universität DresdenElectronic Textiles (E-textiles)Laser Cutting & Digital FabricationCustomizable & Personalized ObjectsCHI
Watch+Strap: Extending Smartwatches with Interactive StrapDisplaysWhile smartwatches are widely adopted these days, their input and output space remains fairly limited by their screen size. We present StrapDisplays—interactive watchbands with embedded display and touch technologies—that enhance commodity watches and extend their input and output capabilities. After introducing the physical design space of these StrapDisplays, we explore how to combine a smartwatch and straps in a synergistic Watch+Strap system. Specifically, we propose multiple interface concepts that consider promising content distributions, interaction techniques, usage types, and display roles. For example, the straps can enrich watch apps, display visualizations, provide glanceable feedback, or help avoiding occlusion issues. Further, we provide a modular research platform incorporating three StrapDisplay prototypes and a flexible web-based software architecture, demonstrating the feasibility of our approach. Early brainstorming sessions with 15 participants informed our design process, while later interviews with six experts supported our concepts and provided valuable feedback for future developments.2020KKKonstantin Klamka et al.Technische Universität DresdenSmartwatches & Fitness BandsCustomizable & Personalized ObjectsCHI
Vistribute: Distributing Interactive Visualizations in Dynamic Multi-Device SetupsWe present Vistribute, a framework for the automatic distribution of visualizations and UI components across multiple heterogeneous devices. Our framework consists of three parts: (i) a design space considering properties and relationships of interactive visualizations, devices, and user preferences in multi-display environments; (ii) specific heuristics incorporating these dimensions for guiding the distribution for a given interface and device ensemble; and (iii) a web-based implementation instantiating these heuristics to automatically generate a distribution as well as providing interaction mechanisms for user-defined adaptations. In contrast to existing UI distribution systems, we are able to infer all required information by analyzing the visualizations and devices without relying on additional input provided by users or programmers. In a qualitative study, we let experts create their own distributions and rate both other manual distributions and our automatic ones. We found that all distributions provided comparable quality, hence validating our framework.2019THTom Horak et al.Technische Universität DresdenInteractive Data VisualizationContext-Aware ComputingCHI
When David Meets Goliath: Combining Smartwatches with a Large Vertical Display for Visual Data ExplorationWe explore the combination of smartwatches and a large interactive display to support visual data analysis. These two extremes of interactive surfaces are increasingly popular, but feature different characteristics—display and input modalities, personal/public use, performance, and portability. In this paper, we first identify possible roles for both devices and the interplay between them through an example scenario. We then propose a conceptual framework to enable analysts to explore data items, track interaction histories, and alter visualization configurations through mechanisms using both devices in combination. We validate an implementation of our framework through a formative evaluation and a user study. The results show that this device combination, compared to just a large display, allows users to develop complex insights more fluidly by leveraging the roles of the two devices. Finally, we report on the interaction patterns and interplay between the devices for visual exploration as observed during our study.2018THTom Horak et al.Technische Universität DresdenInteractive Data VisualizationCHI
Data Visualization on Mobile DevicesAs mobile visualization is increasingly used and new mobile device form factors and hardware capabilities continuously emerge, it is timely to reflect on what has been discovered to date and to look into the future. This workshop will bring together researchers, designers, and practitioners from relevant application and research fields, including visualization, personal informatics, and data journalism. We will work on identifying a research agenda for mobile data visualization as well as to collect and propagate practical guidance for mobile visualization design. Our overarching goal is to bring us closer to making an effective use of ubiquitous mobile devices as data visualization platforms.2018BLBongshin Lee et al.Microsoft ResearchInteractive Data VisualizationCHI