42 research outputs found
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Guide Me in Analysis: A Framework for Guidance Designers
Guidance is an emerging topic in the field of visual analytics. Guidance can support users in pursuing their analytical goals more efficiently and help in making the analysis successful. However, it is not clear how guidance approaches should be designed and what specific factors should be considered for effective support. In this paper, we approach this problem from the perspective of guidance designers. We present a framework comprising requirements and a set of specific phases designers should go through when designing guidance for visual analytics. We relate this process with a set of quality criteria we aim to support with our framework, that are necessary for obtaining a suitable and effective guidance solution. To demonstrate the practical usability of our methodology, we apply our framework to the design of guidance in three analysis scenarios and a design walk-through session. Moreover, we list the emerging challenges and report how the framework can be used to design guidance solutions that mitigate these issues
Towards Scalable Visual Exploration of Very Large RDF Graphs
In this paper, we outline our work on developing a disk-based infrastructure
for efficient visualization and graph exploration operations over very large
graphs. The proposed platform, called graphVizdb, is based on a novel technique
for indexing and storing the graph. Particularly, the graph layout is indexed
with a spatial data structure, i.e., an R-tree, and stored in a database. In
runtime, user operations are translated into efficient spatial operations
(i.e., window queries) in the backend.Comment: 12th Extended Semantic Web Conference (ESWC 2015
Visual Similarity Perception of Directed Acyclic Graphs: A Study on Influencing Factors
While visual comparison of directed acyclic graphs (DAGs) is commonly
encountered in various disciplines (e.g., finance, biology), knowledge about
humans' perception of graph similarity is currently quite limited. By graph
similarity perception we mean how humans perceive commonalities and differences
in graphs and herewith come to a similarity judgment. As a step toward filling
this gap the study reported in this paper strives to identify factors which
influence the similarity perception of DAGs. In particular, we conducted a
card-sorting study employing a qualitative and quantitative analysis approach
to identify 1) groups of DAGs that are perceived as similar by the participants
and 2) the reasons behind their choice of groups. Our results suggest that
similarity is mainly influenced by the number of levels, the number of nodes on
a level, and the overall shape of the graph.Comment: Graph Drawing 2017 - arXiv Version; Keywords: Graphs, Perception,
Similarity, Comparison, Visualizatio
Scalability considerations for multivariate graph visualization
Real-world, multivariate datasets are frequently too large to show in their entirety on a visual display. Still, there are many techniques we can employ to show useful partial views-sufficient to support incremental exploration of large graph datasets. In this chapter, we first explore the cognitive and architectural limitations which restrict the amount of visual bandwidth available to multivariate graph visualization approaches. These limitations afford several design approaches, which we systematically explore. Finally, we survey systems and studies that exhibit these design strategies to mitigate these perceptual and architectural limitations
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Method for a Software-Based Design Check of Additively Manufactured Components
Additive manufacturing offers the potential to produce complex structures such as
topology-optimized components or lattice structures. However, even these numerically generated
structures are subject to manufacturing restrictions. Therefore, compliance with design rules has to
be checked to ensure a robust production. For complex structures, this check requires a great effort.
Hence, a method for a software-based design check that automatically verifies the compliance with
design rules of complex structures has to be developed.
Within the framework of the developed method, the frequently used STL format which is
usually applied during preparation of the manufacturing process, is used. This format approximates
components using triangles. By systematically linking these triangles, geometrical attributes of
components which are relevant for a controlled manufacturing can be identified. Comparing these
attributes to a database containing attribute limits of divergent manufacturing conditions allows a
design check regarding robust manufacturing processes.Mechanical Engineerin
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Design Guidelines for a Software-Supported Adaptation of Additively Manufactured Components with Regard to a Robust Production
The design of additively manufactured components requires a rethinking in the design
process. This is inhibited by a lack of knowledge about additive manufacturing technologies.
For this reason, a large number of design guidelines have been developed in recent years. In
their present form the design guidelines are not suitable for processing in a software algorithm,
since the guidelines have a certain redundancy and partly influence each other. This paper
describes several steps to consolidate the existing guidelines and to prepare them in a way that
they can be used in a software algorithm for a design check. Therefore, existing guidelines are
collected, prioritized and quantified with regard to their relevance for a robust production. To
quantify the guidelines, test specimens are developed, produced and evaluated in order to obtain
a limit value for the geometric properties. With these limit values, quantifiable design
guidelines can be applied to designers and software tools.Mechanical Engineerin