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Social meetings provide important venues for people to get connected. However, it is challenging to explore reasons of social gathering, identify its key impact factors, and further use it to support people's social activities. In this paper, we present an embodied visual analytics system, which highlights analyzing and displaying social-cluster related information in real time. In the system, each...
We present a multi-modal video analysis framework for life-logging research. Domain-specific approaches and alternative software solutions are referenced, then we briefly outline the concept and realization of our OS X-based software for experimental research on segmentation of continuous video using sensor context. The framework facilitates visual inspection, basic data annotation, and the development...
Existing surveys in visual analytics focus on the importance of the topic. However, many do not discuss the increasingly critical area of mixed-initiative systems. In this survey we discuss the importance of research in mixed-initiative systems and how it is different from visual analytics and other research fields. We present the conceptual architecture of a mixed-initiative visual analytics system...
In this paper, we summarize a number of evaluation methods from the field of information visualization and how they can be applied in the domain of cyber security. We focus on techniques that have been validated during our own studies with organizations of varying sizes including small business and the United States Air Force. Recommendations are also provided for experimental design.
A perennially interesting research topic in the field of visual analytics is how to effectively develop systems that support organizational users' decision-making and reasoning processes. The problem is, however, most domain analytical practices generally vary from organization to organization. This leads to diverse designs of visual analytics systems in incorporating domain analytical processes,...
In this paper, we explore the current state of interaction design in visual analytics. Current visual analytics design is heavily focused on interface issues like scalability and tool functionality; this focus is necessary, but it should not be exclusive. Further, most consideration of human cognition is done after tool development in the form of limited evaluation. We argue that, by definition, visual...
In this paper, we introduce ALIDA, an Active Learning Intent Discerning Agent for visual analytics interfaces. As users interact with and explore data in a visual analytics environment they are each developing their own unique analytic process. The goal of ALIDA is to observe and record the human-computer interactions and utilize these observations as a means of supporting user exploration; ALIDA...
The process of learning models from raw data typically requires a substantial amount of user input during the model initialization phase. We present an assistive visualization system which greatly reduces the load on the users and makes the process of model initialization and refinement more efficient, problem-driven, and engaging. Utilizing a sequence segmentation task with a Hidden Markov Model...
The following topics are dealt with: human-computer interaction; user-centered design; social computing; social intelligence; ubiquitous computing; mobile system; gaming; computer-assisted learning; cognition; privacy; security; trust management; human-centered evaluation; information visualization; visual analytics; and semantic systems.
Despite the growing number of systems providing visual analytic support for investigative analysis, few empirical studies include investigations on the analytical reasoning process that needs to be supported. In this paper, we present an approach to evaluate the ability of certain visual representations from an integrated visual-computational environment to support the completion of representative...
This paper presents a working graph analytics model that embraces the strengths of the traditional top-down and bottom-up approaches with a resilient crossover concept to exploit the vast middle-ground information overlooked by the two extreme analytical approaches. Our graph analytics model is co-developed by users and researchers, who carefully studied the functional requirements that reflect the...
The following topics are dealt with: information visualization; exploratory visualization; Web visualization; biomedical informatics; visual analytics; geoanalytics; open source intelligence and Web mining; knowledge visualization; cultural heritage; design visualization; HCI interaction design; and graph theory.
As digital cameras and online photo sharing services become more popular, digital images are growing exponentially on the Internet. Thus supporting more effective retrieval from large-scale image collections has become a challenging issue for CBIR community. In this paper, we have developed a human-centered computing framework for assisting users to access large-scale online image collections: (a)...
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