Works (27)

Updated: April 5th, 2024 01:09

2022 article

Domain-specific text dictionaries for text analytics

Villanes, A., & Healey, C. G. (2022, July 11). INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS.

By: A. Villanes n & C. Healey n

author keywords: Dengue fever; Text analytics; Sentiment
TL;DR: A semiautomatic method for extending a general sentiment dictionary for a specific target domain in a way that minimizes manual effort and is integrated into an epidemiology surveillance system that includes sentiment visualization. (via Semantic Scholar)
Source: Web Of Science
Added: July 26, 2022

2022 article

Visual Analytics for the Coronavirus COVID-19 Pandemic

Healey, C. G., Simmons, S. J., Manivannan, C., & Ro, Y. (2022, January 18). BIG DATA.

By: C. Healey n, S. Simmons n, C. Manivannan n & Y. Ro n

author keywords: coronavirus; COVID-19; data analytics; visualization
MeSH headings : COVID-19 / epidemiology; China / epidemiology; Forecasting; Humans; Pandemics / prevention & control; SARS-CoV-2
TL;DR: The high-level goal is to provide visualizations of predictive analytics that offer policymakers and the general public insight into the current pandemic state and how it may progress into the future. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
Source: Web Of Science
Added: February 7, 2022

2019 journal article

A system for generating storyline visualizations using hierarchical task network planning

COMPUTERS & GRAPHICS-UK, 78, 64–75.

By: K. Padia n, K. Bandara n & C. Healey n

author keywords: HTN planning; Narratives; Storyline visualization
TL;DR: Yarn is extended, a system for automatic construction and visualization of narratives with multiple timelines, and constructs both linear as well as non-linear narratives, and enables pairwise comparison within a group of multiple narrative timelines. (via Semantic Scholar)
Source: Web Of Science
Added: March 4, 2019

2019 journal article

Impressionism-Inspired Data Visualizations Are Both Functional and Liked

PSYCHOLOGY OF AESTHETICS CREATIVITY AND THE ARTS, 13(3), 266–276.

By: P. Kozik, L. Tateosian*, C. Healey* & J. Enns

author keywords: aesthetics; impressionism; information visualization
Sources: Web Of Science, NC State University Libraries
Added: August 19, 2019

2018 journal article

Dengue Fever Surveillance in India Using Text Mining in Public Media

AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE, 98(1), 181–191.

By: A. Villanes n, E. Griffiths*, M. Rappa n & C. Healey n

MeSH headings : Data Mining; Dengue / epidemiology; Humans; India / epidemiology; Mass Media / statistics & numerical data; Newspapers as Topic / statistics & numerical data; Population Surveillance / methods
TL;DR: This article analyzes dengue news articles in Asian countries, with a focus in India, for each month in 2014 and concludes that the proposed method facilitates the effective discovery of evolutionary d Dengue themes and patterns. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2018 article

Visualizing Deep Neural Networks for Text Analytics

2018 IEEE PACIFIC VISUALIZATION SYMPOSIUM (PACIFICVIS), pp. 180–189.

By: S. Nie n, C. Healey n, K. Padia n, S. Leeman-Munk*, J. Benson*, D. Caira*, S. Sethi*, R. Devarajan*

author keywords: Visualization; machine learning
TL;DR: TNNVis is presented, a visualization system that supports un-derstanding of deep neural networks specifically designed to analyze text, and multiple use cases where visualization facilitates an understanding of the models. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2017 chapter

Computer-Aided Human Centric Cyber Situation Awareness

In Theory and Models for Cyber Situation Awareness (pp. 3–25).

By: M. Albanese*, N. Cooke*, G. Coty*, D. Hall*, C. Healey n, S. Jajodia*, P. Liu*, M. McNeese* ...

TL;DR: This chapter provides an overview of Cyber Situational Awareness, an emerging research area in the broad field of cyber security, and discusses, at least at a high level, how to gain Cyber Situation Awareness. (via Semantic Scholar)
Source: Crossref
Added: February 24, 2020

2017 chapter

Lessons Learned: Visualizing Cyber Situation Awareness in a Network Security Domain

In Theory and Models for Cyber Situation Awareness (pp. 47–65).

By: C. Healey n, L. Hao n & S. Hutchinson*

TL;DR: This chapter discusses lesson learned working with cyber situation awareness and network security domain experts to integrate visualizations into their current workflows, finding a critical set of requirements that a visualization must meet to be considered for use by these domain experts. (via Semantic Scholar)
Source: Crossref
Added: February 24, 2020

2016 chapter

Large Image Collection Visualization Using Perception-Based Similarity with Color Features

In Advances in Visual Computing (pp. 379–390).

By: Z. Chen n & C. Healey n

TL;DR: This paper proposes new scene descriptors that preserve the information from coherent color regions, as well as the spatial layouts of scenes, that outperform existing state-of-the-art approaches. (via Semantic Scholar)
Source: Crossref
Added: February 24, 2020

2015 conference paper

Ensemble visualization for cyber situation awareness of network security data

2015 IEEE Symposium on Visualization for Cyber Security (VIZSEC).

By: L. Hao n, C. Healey n & S. Hutchinson*

TL;DR: This work proposes methods to interpret network security alerts and flow traffic as ensemble members, which can then apply ensemble visualization techniques in a network analysis environment to produce a network ensemble visualization system. (via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018

2014 journal article

Visualizing likelihood density functions via optimal region projection

COMPUTERS & GRAPHICS-UK, 41, 62–71.

By: H. Canary, R. Taylor, C. Quammen, S. Pratt, F. Gomez, B. O'Shea, C. Healey*

author keywords: Uncertainty; Parameter space analysis; Visualization; Likelihood density function
TL;DR: A novel technique to visualize a high-dimensional likelihood density function that enables the viewer to understand the shape of the high-likelihood region, and uses a three-dimensional projection space to show features that are not salient in only two dimensions. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2012 journal article

Attention and Visual Memory in Visualization and Computer Graphics

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 18(7), 1170–1188.

By: C. Healey n & J. Enns*

author keywords: Attention; color; motion; nonphotorealism; texture; visual memory; visual perception; visualization
MeSH headings : Attention; Computer Graphics; Humans; Memory; Models, Theoretical; Pattern Recognition, Visual; Psychophysics; Research; Visual Perception
Source: Web Of Science
Added: August 6, 2018

2012 article

Exploring Ensemble Visualization

VISUALIZATION AND DATA ANALYSIS 2012, Vol. 8294.

By: M. Phadke n, L. Pinto n, O. Alabi*, J. Harter*, R. Taylor*, X. Wu*, H. Petersen*, S. Bass*, C. Healey n

author keywords: Ensemble; high-energy physics; perception; heavy ion collision; visualization
TL;DR: This work proposes two techniques to support ensemble exploration and comparison: a pairwise sequential animation method that visualizes locally neighboring members simultaneously, and a screen door tinting method thatVisualizes subsets of members using screen space subdivision. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2012 journal article

Interest Driven Navigation in Visualization

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 18(10), 1744–1756.

By: C. Healey n & B. Dennis*

author keywords: Bayesian network; classification; navigation; preferences; visualization
TL;DR: This paper applies techniques from preference elicitation to automatically identify data elements that are of potential interest to the viewer, bundled into spatially local clusters, and connected together to form a graph. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2012 journal article

On the Limits of Resolution and Visual Angle in Visualization

ACM TRANSACTIONS ON APPLIED PERCEPTION, 9(4).

By: C. Healey n & A. Sawant n

author keywords: Experimentation; Human Factors; Hue; orientation; luminance; resolution; size; visual acuity; visual angle; visual perception; visualization
TL;DR: A perceptual level-of-detail approach for visualizing data that identifies the pixel resolution and subtended visual angle needed to distinguish different values of luminance, hue, size, and orientation and a formalization describing how many pixels and how much physical area on a viewer's retina are required for an element's visual properties to be readily seen. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2012 journal article

Probing the QCD critical point with relativistic heavy-ion collisions

Central European Journal of Physics, 10(6), 1278–1281.

By: S. Bass*, H. Petersen*, C. Quammen*, H. Canary*, C. Healey n & R. Taylor*

Source: NC State University Libraries
Added: August 6, 2018

2011 article

Visualizing combinatorial auctions

Hsiao, J. P.-L., & Healey, C. G. (2011, June). VISUAL COMPUTER, Vol. 27, pp. 633–643.

By: J. Hsiao n & C. Healey n

author keywords: Combinatorial auction; Ecommerce; Perception; Visualization
TL;DR: This work proposes a novel scheme to visualize combinatorial auctions; auctions that involve the simultaneous sale of multiple items, including active bundles, prices bid for each bundle, winning bids, and bidders’ interests. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2008 journal article

Visual perception and mixed-initiative interaction for assisted visualization design

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 14(2), 396–411.

By: C. Healey n, S. Kocherlakota*, V. Rao*, R. Mehta* & R. Amant n

author keywords: computer graphics; perception; search; user interfaces; visualization
MeSH headings : Algorithms; Artificial Intelligence; Computer Graphics; Humans; Image Processing, Computer-Assisted; User-Computer Interface; Visual Perception
Source: Web Of Science
Added: August 6, 2018

2007 chapter

ChipViz: Visualizing Memory Chip Test Data

In Advances in Visual Computing (pp. 711–720).

By: A. Sawant n, R. Raina & C. Healey n

TL;DR: This paper presents a technique that allows test engineers to visually analyze and explore within memory chip test data by using simple geometric "glyphs" that vary their spatial placement, color, and texture properties to represent the critical attribute values of a test. (via Semantic Scholar)
Source: Crossref
Added: February 24, 2020

2007 article

Weaving versus blending: a quantitative assessment of the information carrying capacities of two alternative methods for conveying multivariate data with color

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, Vol. 13, pp. 1270–1277.

By: H. Hagh-Shenas*, S. Kim* & V. Interrante*

author keywords: color; perception; visualization; color weaving; color blending
MeSH headings : Color; Computer Graphics; Computer Simulation; Database Management Systems; Databases, Factual; Information Storage and Retrieval / methods; Models, Theoretical; Multivariate Analysis; User-Computer Interface
Source: Web Of Science
Added: August 6, 2018

2005 journal article

Designing a visualization framework for multidimensional data

IEEE Computer Graphics and Applications, 25(6), 15-.

Source: NC State University Libraries
Added: August 6, 2018

2003 journal article

Target detection and localization in visual search: A dual systems perspective

Perception & Psychophysics, 65(5), 678–694.

By: G. Liu*, C. Healey n & J. Enns*

MeSH headings : Adult; Female; Goals; Humans; Male; Reaction Time; Signal Detection, Psychological; Space Perception; Visual Perception
TL;DR: The results indicated that target detection was influenced more by orientation differences in 3-D space than by 2-D pictorial differences, and target localization was more accurate for direct than for indirect pointing, and there were performance costs for indirect localization when it followed target detection, but not for direct localization. (via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018

2003 article

User studies: Why, how, and when?

IEEE COMPUTER GRAPHICS AND APPLICATIONS, Vol. 23, pp. 20–25.

TL;DR: This article describes how the authors designed experiments to answer important questions from their own research and offers suggestions and lessons learned about experimental design. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2002 article

Perception and painting: A search for effective, engaging visualizations

IEEE COMPUTER GRAPHICS AND APPLICATIONS, Vol. 22, pp. 10–15.

By: C. Healey n & J. Enns

TL;DR: The issues of effectiveness and aesthetics may not be as independent as they seem initially and scientists can learn much from studying two related disciplines - human psychophysics and art theory and history. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2001 journal article

Visualizing market data

IEEE Internet Computing, 5(2), 88.

By: C. Healey & P. Wurman

Source: NC State University Libraries
Added: August 6, 2018

2000 journal article

Building a perceptual visualization architecture

BEHAVIOUR & INFORMATION TECHNOLOGY, 19(5), 349–366.

By: C. Healey*

UN Sustainable Development Goal Categories
14. Life Below Water (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

1999 journal article

Large datasets at a glance: Combining textures and colors in scientific visualization

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 5(2), 145–167.

By: C. Healey n & J. Enns*

author keywords: color; color category; experimental design; human vision; linear separation; multivariate dataset; perception; pexel; preattentive processing; psychophysics; scientific visualization; texture; typhoon
TL;DR: A new method for using texture and color to visualize multivariate data elements arranged on an underlying height field by combining simple texture patterns with perceptually uniform colors to increase the number of attribute values the authors can display simultaneously. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

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