363,041 research outputs found
Dynamic Composite Data Physicalization Using Wheeled Micro-Robots
This paper introduces dynamic composite physicalizations, a new class of physical visualizations that use collections of self-propelled objects to represent data. Dynamic composite physicalizations can be used both to give physical form to well-known interactive visualization techniques, and to explore new visualizations and interaction paradigms. We first propose a design space characterizing composite physicalizations based on previous work in the fields of Information Visualization and Human Computer Interaction. We illustrate dynamic composite physicalizations in two scenarios demonstrating potential benefits for collaboration and decision making, as well as new opportunities for physical interaction. We then describe our implementation using wheeled micro-robots capable of locating themselves and sensing user input, before discussing limitations and opportunities for future work
Design Patterns for Situated Visualization in Augmented Reality
Situated visualization has become an increasingly popular research area in
the visualization community, fueled by advancements in augmented reality (AR)
technology and immersive analytics. Visualizing data in spatial proximity to
their physical referents affords new design opportunities and considerations
not present in traditional visualization, which researchers are now beginning
to explore. However, the AR research community has an extensive history of
designing graphics that are displayed in highly physical contexts. In this
work, we leverage the richness of AR research and apply it to situated
visualization. We derive design patterns which summarize common approaches of
visualizing data in situ. The design patterns are based on a survey of 293
papers published in the AR and visualization communities, as well as our own
expertise. We discuss design dimensions that help to describe both our patterns
and previous work in the literature. This discussion is accompanied by several
guidelines which explain how to apply the patterns given the constraints
imposed by the real world. We conclude by discussing future research directions
that will help establish a complete understanding of the design of situated
visualization, including the role of interactivity, tasks, and workflows.Comment: To appear in IEEE VIS 202
Recommended from our members
Comparing and Improving the Design of Physical Activity Data Visualizations
Heart disease is a leading cause of death in the United States, and older adults are at highest risk of being diagnosed with heart disease. Consistent physical exercise is an effective means of deterring onset of heart disease, and physical activity tracking devices can inspire greater activity in older adults. However, physical activity tracking device abandonment is quite common due to limitations on what can be learned from the activity data that is collected. Better data visualization of physical data presents an opportunity to surpass these limitations. In this thesis, a task-based human subject study was performed with three different data visualizations to gain insight into how the format of physical activity data visualizations impact older adults’ abilities to infer meaning from physical activity data. Participants (n = 30) interacted with a prototype data visualization as well as two data visualizations from popular fitness tracking applications (Fitbit and Strava) and used these visualizations to complete 11 tasks. Results from these tasks show each visualization was able to facilitate users answer some task questions effectively, though no visualizations exhibited strong performance across all tasks. From the successes and shortcomings of each visualization, three key design recommendations for the design of data visualizations for physical activity data were made: 1) make exact values available, 2) summarize data at multiple timescales, and 3) ensure accessibility for the entire population of users
Analyzing library collections with starfield visualizations
This paper presents a qualitative and formative study of the uses of a starfield-based visualization interface for analysis of library collections. The evaluation process has produced feedback that suggests ways to significantly improve starfield interfaces and the interaction process to improve their learnability and usability. The study also gave us clear indication of additional potential uses of starfield visualizations that can be exploited by further functionality and interface development.
We report on resulting implications for the design and use of starfield visualizations that will impact their graphical interface features, their use for managing data quality and their potential for various forms of visual data mining. Although the current implementation and analysis focuses on the collection of a physical library, the most important contributions of our work will be in digital libraries, in which volume, complexity and dynamism of collections are increasing dramatically and tools are needed for visualization and analysis
Experiences with starfield visualizations for analysis of library collections
This paper presents a qualitative and formative study of the uses of a starfield-based visualization interface for analysis of library collections. The evaluation process has produced feedback that suggests ways to significantly improve starfield interfaces and the interaction process to improve their learnability and usability. The study also gave us clear indication of additional potential uses of starfield visualizations that can be exploited by further functionality and interface development. We report on resulting implications for the design and use of starfield visualizations that will impact their graphical interface features, their use for managing data quality and their potential for various forms of visual data mining. Although the current implementation and analysis focuses on the collection of a physical library, the most important contributions of our work will be in digital libraries, in which volume, complexity and dynamism of collections are increasing dramatically and tools are needed for visualization and analysis
Towards Autocomplete Strategies for Visualization Construction
Constructive visualization uses physical data units - tokens - to enable
non-experts to create personalized visualizations engagingly. However, its
physical nature limits efficiency and scalability. One potential solution to
address this issue is autocomplete. By providing automated suggestions while
still allowing for manual intervention, autocomplete can expedite visualization
construction while maintaining expressivity. We conduct a speculative design
study to examine how people would like to interact with a visualization
authoring system that supports autocomplete. Our study identifies three types
of autocomplete strategies and gains insights for designing future
visualization authoring tools with autocomplete functionality. A free copy of
this paper and all supplemental materials are available on our online
repository https://osf.io/nu4z3/?view_only=594baee54d114a99ab381886fb32a126Comment: 5 pages, 4 figure
PerfVis: Pervasive Visualization in Immersive AugmentedReality for Performance Awareness
Developers are usually unaware of the impact of code changes to the
performance of software systems. Although developers can analyze the
performance of a system by executing, for instance, a performance test to
compare the performance of two consecutive versions of the system, changing
from a programming task to a testing task would disrupt the development flow.
In this paper, we propose the use of a city visualization that dynamically
provides developers with a pervasive view of the continuous performance of a
system. We use an immersive augmented reality device (Microsoft HoloLens) to
display our visualization and extend the integrated development environment on
a computer screen to use the physical space. We report on technical details of
the design and implementation of our visualization tool, and discuss early
feedback that we collected of its usability. Our investigation explores a new
visual metaphor to support the exploration and analysis of possibly very large
and multidimensional performance data. Our initial result indicates that the
city metaphor can be adequate to analyze dynamic performance data on a large
and non-trivial software system.Comment: ICPE'19 vision, 4 pages, 2 figure, conferenc
PIViTa: Taxonomy for Displaying Information in Pervasive and Collaborative Environments
In the years ahead, there are increasing demands for ubiquitous and continuous access to information and interactive devices embedded into a physical context are proliferated. Users need support for getting required information anywhere and anytime, therefore, we cannot study advances in Ambient Intelligence and Information Visualization separately, it is necessary to consider the relevant features for displaying information into intelligent environments. A taxonomical approach can make another step towards understand the design space of information visualization in intelligent environments by extracting crucial characteristics.In the years ahead, there are increasing demands for ubiquitous and continuous access to information and interactive devices embedded into a physical context are proliferated. Users need support for getting required information anywhere and anytime, therefore, we cannot study advances in Ambient Intelligence and Information Visualization separately, it is necessary to consider the relevant features for displaying information into intelligent environments. A taxonomical approach can make another step towards understand the design space of information visualization in intelligent environments by extracting crucial characteristics
- …