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Predicting Visual Importance Across Graphic Design Types
[article]
2020
arXiv
pre-print
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This paper introduces a Unified Model of Saliency and Importance (UMSI), which learns to predict visual importance in input graphic designs, and saliency in natural images, along with a new dataset and ...
We demonstrate two new design interfaces that use importance prediction, including a tool for adjusting the relative importance of design elements, and a tool for reflowing designs to new aspect ratios ...
, and importance prediction on visualizations [6] and posters [6, 28] . ...
arXiv:2008.02912v1
fatcat:q3nvjo673fhuhhjzmnfd56goka
Learning Visual Importance for Graphic Designs and Data Visualizations
2017
Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology - UIST '17
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2017 pre-print arXiv:1708.02660v1 fatcat:kusclc4g7rdtjj5534fcnmv75m
We present automated models that predict the relative importance of different elements in data visualizations and graphic designs. ...
Knowing where people look and click on visual designs can provide clues about how the designs are perceived, and where the most important or relevant content lies. ...
This paper presents a new importance prediction method for graphic designs and data visualizations. ...
doi:10.1145/3126594.3126653
dblp:conf/uist/BylinskiiKOAMPD17
fatcat:zxxaqb23njfnlfmr2v2naoixgi
Understanding Mobile GUI: from Pixel-Words to Screen-Sentences
[article]
2022
arXiv
pre-print
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2021 pre-print arXiv:2105.11941v1 fatcat:xdshrsy4rzek3ddjzbefrn3hgq
In analogy to the individual Words, we define the Pixel-Words as atomic visual components (text and graphic components), which are visually consistent and semantically clear across screenshots of a large ...
The effectiveness of PW2SS is further verified in the GUI understanding tasks including relation prediction, clickability prediction, screen retrieval, and app type classification. ...
In analogy to NLP, the "word" of a screen should be: 1) atomic visual components carrying clear semantic meaning. 2) visually consistent across different UIs. ...
arXiv:2105.11941v2
fatcat:4bzzlwihtvetlduooutje54fim
BubbleView
2017
ACM Transactions on Computer-Human Interaction
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2017 pre-print arXiv:1702.05150v2 fatcat:dgvfth4vuvclnd6kfx52yyqbriOther Versions
Across 10 experiments with 28 different parameter combinations, we evaluated BubbleView on a variety of image types: information visualizations, natural images, static webpages, and graphic designs, and ...
BubbleView is designed to collect clicks on static images, and works best for defined tasks such as describing the content of an information visualization or measuring image importance. ...
important in graphic designs. ...
doi:10.1145/3131275
fatcat:pcmdv6oourbf7ipjiimp6tdkiq
Visualizing Rule Sets: Exploration and Validation of a Design Space
[article]
2021
arXiv
pre-print
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The paper presents an initial design space for visualizing rule sets and a user study exploring their impact. ...
In this paper, we explore the idea of designing alternative representations of rules, focusing on a number of visual factors we believe have a positive impact on rule readability and understanding. ...
Task 1: Prediction Estimation. We provide the performance of Task 1 across visual conditions in Figure 6 . ...
arXiv:2103.01022v2
fatcat:cqjroqxucvamxltalfggh2hcve
Visual Model Validation via Inline Replication
[article]
2016
arXiv
pre-print
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In this way, visualizations often serve as visual predictive models despite the fact that they are typically designed to present historical views of the data. ...
This "visual predictive model" approach, however, can lead to invalid inferences. ...
By graphically depicting the repeatability of a particular measure across multiple folds, IR provides users with important and easy-to-interpret cues as to the variability of a given measure. ...
arXiv:1605.08749v1
fatcat:rz4tvv2du5hd3fazii5r2ujije
VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository
[article]
2019
arXiv
pre-print
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Researchers currently rely on ad hoc datasets to train automated visualization tools and evaluate the effectiveness of visualization designs. ...
To contend with running such studies at scale, we demonstrate how a metric of perceptual effectiveness can be learned from experimental results, and show its predictive power across test datasets. ...
performance (i.e. error rate and response time) across data distributions (D), visualization designs (V), and task types (T). ...
arXiv:1905.04616v1
fatcat:d46eqdu55fbv7ely5u7h3jhmnu
Graphs as aids to knowledge construction: Signaling techniques for guiding the process of graph comprehension
1999
Journal of Educational Psychology
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In Experiments 2 and 3, the researchers isolated one important factor that affects viewers' interpretation (i.e., the perceptual organization of the information in graphs). ...
If relevant quantitative information is perceptually grouped to form visual chunks (because relevant data points are either connected in line graphs or close together in bar graphs), then viewers describe ...
& Kirsch, 1991 ,1992 , which typically predict an interaction of type of task and type of document. ...
doi:10.1037//0022-0663.91.4.690
fatcat:ugysj723zbdhdiwxbbtllfthl4
Graphs as aids to knowledge construction: Signaling techniques for guiding the process of graph comprehension
1999
Journal of Educational Psychology
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In Experiments 2 and 3, the researchers isolated one important factor that affects viewers' interpretation (i.e., the perceptual organization of the information in graphs). ...
If relevant quantitative information is perceptually grouped to form visual chunks (because relevant data points are either connected in line graphs or close together in bar graphs), then viewers describe ...
& Kirsch, 1991 ,1992 , which typically predict an interaction of type of task and type of document. ...
doi:10.1037/0022-0663.91.4.690
fatcat:5bkirp2cizgpfnagmnox5o5xyi
A two visual systems approach to understanding voice and gestural interaction
2005
Virtual Reality
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It is important to consider the physiological and behavioral mechanisms that allow users to physically interact with virtual environments. ...
interaction: (1) voice-based input, (2) pointing with a visual cursor, (3) pointing without a visual cursor, and (4) pointing with a timelagged visual cursor. ...
We can use the two visual systems model to predict how target selection through voice or gestural pointing can be influenced by the presence or absence of two types of graphical elements: visible cursors ...
doi:10.1007/s10055-005-0156-2
fatcat:ngjp2jl3qre4tc7xjpthmtc6ra
What characterizes personalities of graphic designs?
2018
ACM Transactions on Graphics
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Our personality scoring network automatically learns a visual representation that captures the semantics necessary to predict graphic design personality. ...
With our personality scoring network, we systematically and quantitatively investigate how various design factors (e.g., color, font, and layout) affect design personality across different scales (from ...
Bylinskii et al. [2017] developed fully convolutional networks to predict the importance maps of both graphic designs and data visualizations. ...
doi:10.1145/3197517.3201355
fatcat:c47loa6wfjbz3dx47ez5uxnqqm
An Exploration And Validation of Visual Factors in Understanding Classification Rule Sets
[article]
2021
arXiv
pre-print
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In this paper, we explore the idea of designing alternative representations of rules, focusing on a number of visual factors we believe have a positive impact on rule readability and understanding. ...
Surprisingly, to date there has been limited work on exploring visual alternatives for presenting rules. ...
Task 1: Prediction Estimation We provide the performance of Task 1 across visual conditions in Figure 3 . Accuracy across all conditions is very similar and very close to 100%. ...
arXiv:2109.09160v1
fatcat:x2ekoxcjdvarhivcnaycalq4cy
User-centered virtual environment design for virtual rehabilitation
2010
Journal of NeuroEngineering and Rehabilitation
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Benchmarks were obtained using a novel vision test capable of measuring a user's stereoacuity while wearing different types of head-worn displays. ...
Current human-computer interaction designs focus on usability without benchmarking technology within a user-inthe-loop design cycle. ...
Information such as display type, field-of-view (FOV), interpupillary eye distance (IPD) range, and resolution are important parameters of the HWD that determine the users' visual performance. ...
doi:10.1186/1743-0003-7-11
pmid:20170519
pmcid:PMC2837672
fatcat:lk52wclxhbgkldw7ez24gnt7iy
Sockeye: A 3D Environment for Comparative Genomics
2004
Genome Research
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We have developed a Java-based application called Sockeye that uses three-dimensional (3D) graphics technology to facilitate the visualization of annotation and conservation across multiple sequences. ...
Ensembl-derived and imported sequences can be analyzed by using a suite of multiple and pair-wise alignment algorithms. ...
The use of 3D in any type of data visualization and analysis application has advantages and disadvantages. 3D data visualization has been successfully used for engineering design and for geological and ...
doi:10.1101/gr.1890304
pmid:15123592
pmcid:PMC479126
fatcat:r4jnd5w7fveoxe55hwa5g42bz4
WholeCellViz: data visualization for whole-cell models
2013
BMC Bioinformatics
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Furthermore, WholeCellViz enables researchers to compare predictions within and across simulations by allowing users to simultaneously display multiple visualizations. ...
These visualizations help researchers analyze model predictions by displaying predictions in their biological context. ...
Acknowledgements We thank Elsa Birch, Derek Macklin, Jane Maynard, Nick Ruggero, and Jayodita Sanghvi for helpful discussions on data analysis and visualization. ...
doi:10.1186/1471-2105-14-253
pmid:23964998
pmcid:PMC3765349
fatcat:ms2ldguy5vd6vfylu6y5ixy4gm
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