A Review and Characterization of Progressive Visual Analytics
Journal Title: Informatics - Year 2018, Vol 5, Issue 3
Abstract
Progressive Visual Analytics (PVA) has gained increasing attention over the past years. It brings the user into the loop during otherwise long-running and non-transparent computations by producing intermediate partial results. These partial results can be shown to the user for early and continuous interaction with the emerging end result even while it is still being computed. Yet as clear-cut as this fundamental idea seems, the existing body of literature puts forth various interpretations and instantiations that have created a research domain of competing terms, various definitions, as well as long lists of practical requirements and design guidelines spread across different scientific communities. This makes it more and more difficult to get a succinct understanding of PVA’s principal concepts, let alone an overview of this increasingly diverging field. The review and discussion of PVA presented in this paper address these issues and provide (1) a literature collection on this topic, (2) a conceptual characterization of PVA, as well as (3) a consolidated set of practical recommendations for implementing and using PVA-based visual analytics solutions.
Authors and Affiliations
Marco Angelini, Giuseppe Santucci, Heidrun Schumann and Hans-Jörg Schulz
Keywords
Related Articles
- EP ID EP44152
- DOI https://doi.org/10.3390/informatics5030031
- Views 268
- Downloads 0
Direct Visual Editing of Node Attributes in Graphs
There are many expressive visualization techniques for analyzing graphs. Yet, there is only little research on how existing visual representations can be employed to support data editing. An increasingly relevant task...
PERSEUS-HUB: Interactive and Collective Exploration of Large-Scale Graphs
Graphs emerge naturally in many domains, such as social science, neuroscience, transportation engineering, and more. In many cases, such graphs have millions or billions of nodes and edges, and their sizes increase dai...
Frame-Based Elicitation of Mid-Air Gestures for a Smart Home Device Ecosystem
If mid-air interaction is to be implemented in smart home environments, then the user would have to exercise in-air gestures to address and manipulate multiple devices. This paper investigates a user-defined gesture vo...
A New Co-Evolution Binary Particle Swarm Optimization with Multiple Inertia Weight Strategy for Feature Selection
Feature selection is a task of choosing the best combination of potential features that best describes the target concept during a classification process. However, selecting such relevant features becomes a difficult m...
Acknowledgement to Reviewers of Informatics in 2017
Peer review is an essential part in the publication process, ensuring that Informatics maintains high quality standards for its published papers. In 2017, a total of 44 papers were published in the journal. Thanks to t...