2019
4.
Gonzalez-Torres, Antonio; Byrd, Vetria L; Parsons, Paul
VKE: a Visual Analytics Tool for CyberSecurity Data Proceedings Article
In: Proceedings of the International Conference on Security and Management (SAM), pp. 56–62, 2019.
BibTeX | Tags: visual analytics
@inproceedings{gonzalez2019vke,
title = {VKE: a Visual Analytics Tool for CyberSecurity Data},
author = {Antonio Gonzalez-Torres and Vetria L Byrd and Paul Parsons},
year = {2019},
date = {2019-01-01},
booktitle = {Proceedings of the International Conference on Security and Management (SAM)},
pages = {56--62},
keywords = {visual analytics},
pubstate = {published},
tppubtype = {inproceedings}
}
2015
3.
Parsons, Paul; Sedig, Kamran; Mercer, Robert E.; Khordad, Maryam; Knoll, Joan; Rogan, Peter
Visual analytics for supporting evidence-based interpretation of molecular cytogenomic findings Conference
Proceedings of the 2015 Workshop on Visual Analytics in Healthcare (VAHC ’15) at IEEE VIS 2015, 2015.
Links | BibTeX | Tags: healthcare, visual analytics
@conference{Parsons215a,
title = {Visual analytics for supporting evidence-based interpretation of molecular cytogenomic findings},
author = {Paul Parsons and Kamran Sedig and Robert E. Mercer and Maryam Khordad and Joan Knoll and Peter Rogan},
doi = {10.1145/2836034.2836036},
year = {2015},
date = {2015-10-21},
booktitle = {Proceedings of the 2015 Workshop on Visual Analytics in Healthcare (VAHC '15) at IEEE VIS 2015},
keywords = {healthcare, visual analytics},
pubstate = {published},
tppubtype = {conference}
}
2.
Parsons, Paul; Sedig, Kamran; Didandeh, Arman; Khosravi, Arash
Interactivity in Visual Analytics: Use of Conceptual Frameworks to Support Human-Centered Design of a Decision-Support Tool Proceedings Article
In: Hawaii International Conference on System Sciences, pp. 1138–1147, IEEE, 2015.
Abstract | Links | BibTeX | Tags: human-centered design, interactivity, visual analytics
@inproceedings{Parsons2015,
title = {Interactivity in Visual Analytics: Use of Conceptual Frameworks to Support Human-Centered Design of a Decision-Support Tool},
author = {Paul Parsons and Kamran Sedig and Arman Didandeh and Arash Khosravi},
url = {https://www.dvclab.net/wp-content/uploads/2020/02/07069945-1.pdf},
doi = {10.1109/HICSS.2015.138},
year = {2015},
date = {2015-01-01},
booktitle = {Hawaii International Conference on System Sciences},
pages = {1138--1147},
publisher = {IEEE},
abstract = {Visual analytics (VA) combines the strengths of humans and computers such that joint cognitive systems are formed. To be effective, a VA tool should be designed such that the component parts of the whole system are strongly coupled and function in a harmonious fashion. These components include cognitive and perceptual issues, tasks, algorithms, data models, and other aspects of the systems that contribute to its overall efficacy. The quality of interaction among all of these components can be referred to as interactivity. In the existing visualization literature, not enough focus has been placed on developing our understanding of human-centered aspects of interactivity. We have recently developed some conceptual frameworks to inform and guide the design of visual analytics tools in a systematic, human- centered fashion. In this paper, we describe the design of a tool that supports decision-making and other complex cognitive activities. We discuss how the conceptual frameworks supported systematic design and coherent thinking about the interactivity of the tool. We also discuss some extensions of interactivity into important areas of concern for visual analytics tools.},
keywords = {human-centered design, interactivity, visual analytics},
pubstate = {published},
tppubtype = {inproceedings}
}
Visual analytics (VA) combines the strengths of humans and computers such that joint cognitive systems are formed. To be effective, a VA tool should be designed such that the component parts of the whole system are strongly coupled and function in a harmonious fashion. These components include cognitive and perceptual issues, tasks, algorithms, data models, and other aspects of the systems that contribute to its overall efficacy. The quality of interaction among all of these components can be referred to as interactivity. In the existing visualization literature, not enough focus has been placed on developing our understanding of human-centered aspects of interactivity. We have recently developed some conceptual frameworks to inform and guide the design of visual analytics tools in a systematic, human- centered fashion. In this paper, we describe the design of a tool that supports decision-making and other complex cognitive activities. We discuss how the conceptual frameworks supported systematic design and coherent thinking about the interactivity of the tool. We also discuss some extensions of interactivity into important areas of concern for visual analytics tools.
2012
1.
Sedig, Kamran; Parsons, Paul; Babanski, Alex
Towards a characterization of interactivity in visual analytics Journal Article
In: Journal of Multimedia Processing Technologies, vol. 3, no. 1, pp. 12–28, 2012.
Abstract | Links | BibTeX | Tags: interactivity, visual analytics
@article{Sedig2012,
title = {Towards a characterization of interactivity in visual analytics},
author = {Kamran Sedig and Paul Parsons and Alex Babanski},
url = {https://www.dvclab.net/wp-content/uploads/2020/07/JMPT2012.pdf, Sedig et al.- 2012 - Interactivity Visual Analytics [PDF]},
year = {2012},
date = {2012-01-01},
journal = {Journal of Multimedia Processing Technologies},
volume = {3},
number = {1},
pages = {12--28},
abstract = {Designing effective visual analytics systems is challenging. Not only must each component be well understood and effectively designed on its own, but each must also operate in harmony with the rest. To a large extent, the quality of the relationships among components determines how well visual analytic activities are supported. In this paper, we define the quality of interaction among the components of visual analytics systems as interactivity. This paper draws on research from the areas of cognitive and perceptual psychology, human-information interaction, visualization sciences, and interaction design to examine some of the current challenges faced in discussing and characterizing interactivity. In doing so, this paper attempts to contribute to a characterization of interactivity in visual analytics.},
keywords = {interactivity, visual analytics},
pubstate = {published},
tppubtype = {article}
}
Designing effective visual analytics systems is challenging. Not only must each component be well understood and effectively designed on its own, but each must also operate in harmony with the rest. To a large extent, the quality of the relationships among components determines how well visual analytic activities are supported. In this paper, we define the quality of interaction among the components of visual analytics systems as interactivity. This paper draws on research from the areas of cognitive and perceptual psychology, human-information interaction, visualization sciences, and interaction design to examine some of the current challenges faced in discussing and characterizing interactivity. In doing so, this paper attempts to contribute to a characterization of interactivity in visual analytics.