Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: On the Readability of Boundary Labeling   Boundary labeling deals with annotating features in images such that labels
are placed outside of the image and are connected by curves (so-called leaders)
to the corresponding features. While boundary labeling has been extensively
investigated from an algorithmic perspective, the research on its readability
has been neglected. In this paper we present the first formal user study on the
readability of boundary labeling. We consider the four most studied leader
types with respect to their performance, i.e., whether and how fast a viewer
can assign a feature to its label and vice versa. We give a detailed analysis
of the results regarding the readability of the four models and discuss their
aesthetic qualities based on the users' preference judgments and interviews.

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The categories of this paper are: bayes-an
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The categories of this paper are: adap-org
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The categories of this paper are: eess
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The categories of this paper are: hep-lat
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The categories of this paper are: econ
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The categories of this paper are: chem-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: chao-dyn
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The categories of this paper are: stat
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The categories of this paper are: ao-sci
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The categories of this paper are: hep-ph
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The categories of this paper are: math
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The categories of this paper are: cond-mat
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The categories of this paper are: quant-ph
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The categories of this paper are: q-bio
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The categories of this paper are: patt-sol