Dust & Magnet: Multivariate Information Visualization Using a Magnet Metaphor

2005 ◽  
Vol 4 (4) ◽  
pp. 239-256 ◽  
Author(s):  
Ji Soo Yi ◽  
Rachel Melton ◽  
John Stasko ◽  
Julie A. Jacko
Keyword(s):  
General Population ◽  
Information Visualization ◽  
Real World ◽  
Daily Life ◽  
Information Age ◽  
Visualization Tool ◽  
Visualization Technique ◽  
Visualization Techniques

The use of multivariate information visualization techniques is intrinsically difficult because the multidimensional nature of data cannot be effectively presented and understood on real-world displays, which have limited dimensionalities. However, the necessity to use these techniques in daily life is increasing as the amount and complexity of data grows explosively in the information age. Thus, multivariate information visualization techniques that are easier to understand and more accessible are needed for the general population. In order to meet this need, the present paper proposes Dust & Magnet, a multivariate information visualization technique using a magnet metaphor and various interactive techniques. The intuitive magnet metaphor and subsequent interactions facilitate the ease of learning this multivariate information visualization technique. A visualization tool such as Dust & Magnet has the potential to increase the acceptance of and utility for multivariate information by a broader population of users who are not necessarily knowledgeable about multivariate information visualization techniques.

scholarly journals Visualizing Populated Ontologies with OntoTrix

2013 ◽  
Vol 9 (4) ◽  
pp. 17-40 ◽  
Author(s):  
Benjamin Bach ◽  
Emmanuel Pietriga ◽  
Ilaria Liccardi
Keyword(s):  
Social Network ◽  
Information Visualization ◽  
Adjacency Matrix ◽  
Network Visualization ◽  
Visualization Technique ◽  
Matrix Representations ◽  
Level Data ◽  
Complex Graph ◽  
Visualization Techniques ◽  
Different Parts

Research on visualizing Semantic Web data has yielded many tools that rely on information visualization techniques to better support the user in understanding and editing these data. Most tools structure the visualization according to the concept definitions and interrelations that constitute the ontology’s vocabulary. Instances are often treated as somewhat peripheral information, when considered at all. These instances, that populate ontologies, represent an essential part of any knowledge base. Understanding instance-level data might be easier for users because of their higher concreteness, but instances will often be orders of magnitude more numerous than the concept definitions that give them machine-processable meaning. As such, the visualization of instance-level data poses different but real challenges. The authors present a visualization technique designed to enable users to visualize large instance sets and the relations that connect them. This visualization uses both node-link and adjacency matrix representations of graphs to visualize different parts of the data depending on their semantic and local structural properties. The technique was originally devised for simple social network visualization. The authors extend it to handle the richer and more complex graph structures of populated ontologies, exploiting ontological knowledge to drive the layout of, and navigation in, the representation embedded in a smooth zoomable environment.

Data Visualization in R

2019 ◽  
pp. 205-222
Author(s):  
S. R. Mani Sekhar ◽  
Siddesh G. M. ◽  
Sunilkumar S. Manvi
Keyword(s):  
Decision Making ◽  
Case Studies ◽  
Data Visualization ◽  
Information Visualization ◽  
Real World ◽  
Valuable Insight ◽  
Visualization Method ◽  
Use Of Data ◽  
R Programming ◽  
Visualization Techniques

Data visualization helps the users to understand the relationships and associations between information. Visualization helps in minimizing the errors generated during decision making. Different visualization methods have been developed to unlock the valuable insight. These methods have been developed on the supposition that the information to be present is free from ambiguity. This chapter provides an overview of data visualization techniques in R programming. Various methods have been discussed with supported explanation and examples which in turn helps the reader to create their own visualization method. Later, four different case studies are presented to understand the importance and use of data visualization in real-world problems.

scholarly journals Real-World Acceptance of COVID-19 Vaccines among Healthcare Workers in Perinatal Medicine in China

Vaccines ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 704
Author(s):  
Biyun Xu ◽  
Xuelian Gao ◽  
Xinyue Zhang ◽  
Yali Hu ◽  
Huixia Yang ◽  
...  
Keyword(s):  
General Population ◽  
Real World ◽  
Healthcare Workers ◽  
Vaccine Safety ◽  
Vaccine Hesitancy ◽  
Present Survey ◽  
Perinatal Medicine ◽  
Vaccine Acceptance ◽  
Questionnaire Online ◽  
Convincing Data

Surveys showed that vaccine hesitancy may influence the acceptance of COVID-19 vaccines in healthcare workers (HCWs) and the general population. Currently, the actual acceptance of COVID-19 vaccination in HCWs has rarely been reported. In the present survey, we investigated the real-world acceptance of COVID-19 vaccination in HCWs in perinatal medicine during the first three-month period of vaccination in China and to identify the main reason for the decline of vaccination. HCWs (1087) who participated in a Chinese national symposium on perinatal medicine during 16–18 April 2021 were invited to answer a 27-question questionnaire online. A total of 1051 HCWs completed the questionnaire. Of them, 86.2% (906/1051) accepted the COVID-19 vaccination and 13.8% (145/1051) declined the vaccination. Because of the vaccine hesitancy, one-fourth of the vaccinated participants did not accept the vaccination until consulted with others or requested by employers. The main reason for the decline of vaccination in 145 unvaccinated HCWs was the concern about vaccine safety. The results indicate that vaccination request by employers may promote vaccine acceptance. More convincing data on the safety of COVID-19 vaccines appears to be important to increase the acceptance of vaccination.

scholarly journals From Epidemiology to Daily Life: Linking Daily Life Stress Reactivity to Persistence of Psychotic Experiences in a Longitudinal General Population Study

PLoS ONE ◽  
2013 ◽  
Vol 8 (4) ◽  
pp. e62688 ◽  
Author(s):  
Dina Collip ◽  
Johanna T. W. Wigman ◽  
Inez Myin-Germeys ◽  
Nele Jacobs ◽  
Catherine Derom ◽  
...  
Keyword(s):  
General Population ◽  
Population Study ◽  
Life Stress ◽  
Stress Reactivity ◽  
Daily Life ◽  
Psychotic Experiences ◽  
General Population Study

An Information Visualization Tool with Multiple Coordinated Views for Network Traffic Analysis

2008 ◽  
Author(s):  
Andre Luiz da Silva Kauer ◽  
Bianchi Serique Meiguins ◽  
Ricardo Melo Casseb do Carmo ◽  
Marcelo de Brito Garcia ◽  
Aruanda Simoes Goncalves Meiguins
Keyword(s):  
Information Visualization ◽  
Network Traffic ◽  
Traffic Analysis ◽  
Visualization Tool ◽  
Network Traffic Analysis

scholarly journals Relation of Accelerometer and EMG Recordings for the Measurement of Upper Extremity Movement

1999 ◽  
Vol 13 (2) ◽  
pp. 77-82 ◽  
Author(s):  
Andreas Keil ◽  
Thomas Elbert ◽  
Edward Taub
Keyword(s):  
Upper Extremity ◽  
Real World ◽  
Daily Life ◽  
Upper Arm ◽  
Activities Of Daily Life ◽  
Strong Relation ◽  
Integrated Emg ◽  
Male Subjects ◽  
Upper Extremity Movement

Abstract In order to determine the value of accelerometry as a measure of real world outcome when a subject is outside the laboratory, accelerometer recordings from the wrist were compared with simultaneous electromyogram (EMG) recordings from the lower and upper arm. Accelerometer and EMG signals were recorded simultaneously by the “Kölner Vitaport System,” an ambulatory device. Six male subjects performed standardized tasks as well as activities of daily life (ADL). Low correlations between accelerometer counts and integrated EMG were found in the standardized tasks, whereas there were considerably higher correlations for ADL. However, there was a strong relation between several parameters derived from EMG and accelerometer recordings. The two techniques appear to measure different aspects of movement and may be complementary.

Automated Diagnosis through Ontologies and Logical Descriptions

2013 ◽  
pp. 117-134
Author(s):  
Alejandro Rodríguez-González ◽  
Ángel García-Crespo ◽  
Ricardo Colomo-Palacios ◽  
José Emilio Labra Gayo ◽  
Juan Miguel Gómez-Berbís ◽  
...  
Keyword(s):  
Decision Making ◽  
Health Systems ◽  
Real World ◽  
Information Age ◽  
Semantic Technologies ◽  
Automated Diagnosis ◽  
Real World Data ◽  
World Data ◽  
Degree Of Maturity ◽  
Automate Diagnosis

The combination of the burgeoning interest in efficient and reliable Health Systems and the advent of the Information Age represent both a challenge and an opportunity for new paradigms and cutting-edge technologies reaching a certain degree of maturity. Hence, the use of Semantic Technologies for Automated Diagnosis could leverage the potential of current solutions by providing inference-based knowledge and support on decision-making. This paper presents the ADONIS approach, which harnesses the use of ontologies and the underlying logical mechanisms to automate diagnosis and provide significant quality results in its evaluation on real-world data scenarios.

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