Eye-tracking Investigation During Visual Analysis of Projected Multidimensional Data with 2D Scatterplots

2014 ◽  
Keyword(s):  
Eye Tracking ◽  
Visual Analysis ◽  
Multidimensional Data

Visual Analysis of Eye Tracking Data

2013 ◽  
pp. 391-409 ◽  
Author(s):  
Michael Raschke ◽  
Tanja Blascheck ◽  
Michael Burch
Keyword(s):  
Eye Tracking ◽  
Visual Analysis ◽  
Tracking Data

EPOS-Norway Portal

2021 ◽  
Author(s):  
Jan Michalek ◽  
Kuvvet Atakan ◽  
Christian Rønnevik ◽  
Helga Indrøy ◽  
Lars Ottemøller ◽  
...  
Keyword(s):  
Web Services ◽  
Visual Analysis ◽  
Earth Science ◽  
National Research Council ◽  
Geophysical Data ◽  
Multidimensional Data ◽  
Data Sets ◽  
Complex Data ◽  
Submarine Landslides ◽  
Data Repositories

<p>The European Plate Observing System (EPOS) is a European project about building a pan-European infrastructure for accessing solid Earth science data, governed now by EPOS ERIC (European Research Infrastructure Consortium). The EPOS-Norway project (EPOS-N; RCN-Infrastructure Programme - Project no. 245763) is a Norwegian project funded by National Research Council. The aim of the Norwegian EPOS e‑infrastructure is to integrate data from the seismological and geodetic networks, as well as the data from the geological and geophysical data repositories. Among the six EPOS-N project partners, four institutions are providing data – University of Bergen (UIB), - Norwegian Mapping Authority (NMA), Geological Survey of Norway (NGU) and NORSAR.</p><p>In this contribution, we present the EPOS-Norway Portal as an online, open access, interactive tool, allowing visual analysis of multidimensional data. It supports maps and 2D plots with linked visualizations. Currently access is provided to more than 300 datasets (18 web services, 288 map layers and 14 static datasets) from four subdomains of Earth science in Norway. New datasets are planned to be integrated in the future. EPOS-N Portal can access remote datasets via web services like FDSNWS for seismological data and OGC services for geological and geophysical data (e.g. WMS). Standalone datasets are available through preloaded data files. Users can also simply add another WMS server or upload their own dataset for visualization and comparison with other datasets. This portal provides unique way (first of its kind in Norway) for exploration of various geoscientific datasets in one common interface. One of the key aspects is quick simultaneous visual inspection of data from various disciplines and test of scientific or geohazard related hypothesis. One of such examples can be spatio-temporal correlation of earthquakes (1980 until now) with existing critical infrastructures (e.g. pipelines), geological structures, submarine landslides or unstable slopes.  </p><p>The EPOS-N Portal is implemented by adapting Enlighten-web, a server-client program developed by NORCE. Enlighten-web facilitates interactive visual analysis of large multidimensional data sets, and supports interactive mapping of millions of points. The Enlighten-web client runs inside a web browser. An important element in the Enlighten-web functionality is brushing and linking, which is useful for exploring complex data sets to discover correlations and interesting properties hidden in the data. The views are linked to each other, so that highlighting a subset in one view automatically leads to the corresponding subsets being highlighted in all other linked views.</p>

A Task-Based View on the Visual Analysis of Eye-Tracking Data

2017 ◽  
pp. 3-22 ◽  
Author(s):  
Kuno Kurzhals ◽  
Michael Burch ◽  
Tanja Blascheck ◽  
Gennady Andrienko ◽  
Natalia Andrienko ◽  
...  
Keyword(s):  
Eye Tracking ◽  
Visual Analysis ◽  
Tracking Data

Visualization of Clusters in an Educational Data Set Based on Convex-Hull Shape Preservation Algorithm

2017 ◽  
Vol 31 (02) ◽  
pp. 1750004
Author(s):  
Marcelo Keese Albertini ◽  
André Ricardo Backes
Keyword(s):  
Convex Hull ◽  
Educational System ◽  
Visual Analysis ◽  
Nonlinear Transformation ◽  
Shape Preservation ◽  
Impossibility Theorem ◽  
Multidimensional Data ◽  
Data Set ◽  
Social Data ◽  
Distance Properties

We study the problem of visualization of clusters in an educational data set based on convex-hull shape preservation algorithm. This problem considers multidimensional data with pre-established classes with the requirement of elements of different classes must be presented at distinctive regions. Such problem is commonly found on economic and social data, where visualization is important to understand a phenomenon before further analysis. In this paper, we propose an algorithm that uses a nonlinear transformation to preserve some data distance properties and display in a convenient format to interpretation. The proposed visualization algorithm is a partition-conforming projection, as defined by Kleinberg [An impossibility theorem for clustering, Adv. Neural Inform. Processing Syst. 15: Proc. 2002 Conf., 2003, The MIT Press, p. 463.], and completely separates the convex hull of data classes by applying locally linear operations. We applied this algorithm to visualize data from an important exam applied for over four million students of the Brazilian educational system Exame Nacional do Ensino Médio (ENEM). Results show that the proposed algorithm successfully separates unintelligible data and presents it more accessible to further visual analysis.

scholarly journals What Do Physicians Read (and Ignore) in Electronic Progress Notes?

2014 ◽  
Vol 05 (02) ◽  
pp. 430-444 ◽  
Author(s):  
J.L. Marquard ◽  
B. Amster ◽  
M. Romoser ◽  
J. Friderici ◽  
S. Goff ◽  
...  
Keyword(s):  
Visual Attention ◽  
Eye Tracking ◽  
Visual Analysis ◽  
Vital Signs ◽  
Patient Data ◽  
Progress Notes ◽  
Clinical Document ◽  
Laboratory Results ◽  
Tracking Device ◽  
Study Participants

Summary Objective: Several studies have documented the preference for physicians to attend to the impression and plan section of a clinical document. However, it is not clear how much attention other sections of a document receive. The goal of this study was to identify how physicians distribute their visual attention while reading electronic notes. Methods: We used an eye-tracking device to assess the visual attention patterns of ten hospitalists as they read three electronic notes. The assessment included time spent reading specific sections of a note as well as rates of reading. This visual analysis was compared with the content of simulated verbal handoffs for each note and debriefing interviews. Results: Study participants spent the most time in the “Impression and Plan” section of electronic notes and read this section very slowly. Sections such as the “Medication Profile”, “Vital Signs” and “Laboratory Results” received less attention and were read very quickly even if they contained more content than the impression and plan. Only 9% of the content of physicians’ verbal handoff was found outside of the “Impression and Plan.” Conclusion: Physicians in this study directed very little attention to medication lists, vital signs or laboratory results compared with the impression and plan section of electronic notes. Optimizing the design of electronic notes may include rethinking the amount and format of imported patient data as this data appears to largely be ignored. Citation: Brown PJ, Marquard JL, Amster B, Romoser M, Friderici J, Goff S, Fisher D. What do physicians read (and ignore) in electronic progress notes? Appl Clin Inf 2014; 5: 430–444 http://dx.doi.org/10.4338/ACI-2014-01-RA-0003

scholarly journals Visual decisions in the analysis of customers online shopping behavior

2019 ◽  
Vol 17 (3) ◽  
pp. 355-368 ◽  
Author(s):  
Julija Pragarauskaitė ◽  
Gintautas Dzemyda
Keyword(s):  
Categorical Data ◽  
Online Shopping ◽  
Visual Analysis ◽  
Numerical Data ◽  
Shopping Behavior ◽  
Multidimensional Data ◽  
Advertising Campaign ◽  
Return Of Investment ◽  
Multidimensional Data Visualization ◽  
Online Shopping Behavior

The analysis of the online customer shopping behavior is an important task nowadays, which allows maximizing the efficiency of advertising campaigns and increasing the return of investment for advertisers. The analysis results of online customer shopping behavior are usually reviewed and understood by a non-technical person; therefore the results must be displayed in the easiest possible way. The online shopping data is multidimensional and consists of both numerical and categorical data. In this paper, an approach has been proposed for the visual analysis of the online shopping data and their relevance. It integrates several multidimensional data visualization methods of different nature. The results of the visual analysis of numerical data are combined with the categorical data values. Based on the visualization results, the decisions on the advertising campaign could be taken in order to increase the return of investment and attract more customers to buy in the online e-shop.

scholarly journals VISUAL ANALYSIS OF TEXT DATA COLLECTIONS BY FREQUENCIES OF JOINT USE OF WORDS

2021 ◽  
Vol XLIV-2/W1-2021 ◽  
pp. 21-26
Author(s):  
A. E. Bondarev ◽  
A. V. Bondarenko ◽  
V. A. Galaktionov
Keyword(s):  
Visual Analysis ◽  
Cluster Structure ◽  
Multidimensional Data ◽  
Fake News ◽  
Text Data ◽  
Parts Of Speech ◽  
Text Collections ◽  
Data Collections ◽  
Semantic Proximity ◽  
Close Distance

Abstract. The presented research considers the problems of studying the cluster structure of multidimensional data volumes. This paper presents the results of numerical experiments on the study of data volumes consisting of frequencies of joint use of words from different parts of speech, for instance “noun + verb” or “adjective + noun”. The volumes of data are obtained from samples from text collections in Russian. The aim of the research is to analyze the cluster structure of the studied volume and semantic proximity of words in clusters and subclusters. The hypothesis was used that words with similar meaning should occur in approximately the same context. In this regard, in the space of features, they will be at a relatively close distance from each other, while differing words will be at a more distant distance from each other. Research is carried out using elastic maps, which are effective tools for visual analysis of multidimensional data. The construction of elastic maps and their extensions in the space of the first three principal components makes it possible to determine the cluster structure of the studied multidimensional data volumes. Such analysis can be useful in the tasks of confronting negative verbal influences such as fake news, hidden propaganda, involvement in sects, verbal manipulation, etc. Also this approach can be applied to text collections having medical origin.

I. Manual Quantitative Assessment of Eye-Tracking Patterns

1980 ◽  
Vol 89 (4_suppl2) ◽  
pp. 1-6 ◽  
Author(s):  
Yoshio Umeda
Keyword(s):  
Eye Tracking ◽  
Time Constant ◽  
Quantitative Assessment ◽  
Visual Analysis ◽  
Normal Subjects ◽  
Total Index ◽  
Total Index Total ◽  
Second Period ◽  
Total Indices

Quantitative assessment of the electronystagmogram of the eye-tracking test (eye-tracking pattern) was undertaken in 20 normal subjects and 70 patients with vertigo. The abnormal recordings, contrary to the normal, showed, in varying degrees, remarkable irregularities of eye speed. These irregularities appeared in the form of spikes on the electronystagmogram at the time constant of 0.03 second. We measured the height of the spikes using 40°/sec as a unit and added the units of spikes appearing during a nine-second period to obtain the total index. Total indices ranged from zero (normal) to 40 + (severely abnormal), and their values showed levels of abnormality in the eye-tracking pattern more accurately than the visual analysis in current use.

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