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Highlights Papers Provenance Sensemaking Visual Analytics

Survey on the Analysis of User Interactions and Visualization Provenance

EuroVis/Computer Graphics Forum 2020 There is fast-growing literature on provenance-related research, covering aspects such as its theoretical framework, use cases, and techniques for capturing, visualizing, and analyzing provenance data. As a result, there is an increasing need to identify and taxonomize the existing scholarship. Such an organization of the research landscape will provide a complete […]

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Highlights Papers Provenance Sensemaking Visual Analytics

TimeSets: Temporal sensemaking in intelligence analysis

IEEE Computer Graphics and Applications (CG&A) 2020 TimeSets is a temporal data visualization technique designed to reveal insights into event sets, such as all the events linked to one person or organization. In this paper we describe two TimeSets-based visual analytics tools for intelligence analysis. In the first case, TimeSets is integrated with other visual […]

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Highlights Papers Provenance Sensemaking Visual Analytics

Putting the ā€œiā€ in interaction: Interactive interfaces personalized to individuals

IEEE Computer Graphics and Applications (CG&A) 2020 Interactive data exploration and analysis is an inherently personal process. One’s background, experience, interests, cognitive style, personality, and other sociotechnical factors often shape such a process, as well as the provenance of exploring, analyzing, and interpreting data. This viewpoint posits both what personal information and how such personal […]

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Papers Provenance Sensemaking Visual Analytics

Provenance and logging for sense making

Dagstuhl Reports 2019 This the report for the Dagstuhl Seminar I co-organised. Sense making is one of the biggest challenges in data analysis faced by both the industry and the research community. It involves understanding the data and uncovering its model, generating a hypothesis, selecting analysis methods, creating novel solutions, designing evaluation, and also critical […]

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Machine learning Papers Provenance Sensemaking Visual Analytics

An Approach to Human-Machine Teaming in Legal Investigations Using Anchored Narrative Visualisation and Machine Learning

The First International Workshop on AI and Intelligent Assistance for Legal Professionals in the Digital Workplace (LegalAIIA 2019) During legal investigations, analysts typically create external representations of an investigated domain as resource for cognitive offloading, reflection and collaboration. For investigations involving very large numbers of documents as evidence, creating such representations can be slow and […]

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Papers Provenance Sensemaking Visual Analytics

Uncertainty of visualizations for SenseMaking in criminal intelligence analysis

EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3) 2018 Uncertainty in visualization is an inevitable issue for sensemaking in criminal intelligence. Accuracy and precision of adoptedvisualization techniques have got greater role in trustworthiness with the system while finding out insights from crime relateddataset. In this paper, we have presented a case study to […]

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Papers Provenance Sensemaking Visual Analytics

Analytic Provenance as Constructs of Behavioural Markers for Externalizing Thinking Processes in Criminal Intelligence Analysis

Chapter 10 of the book Community-Oriented Policing and Technological Innovations (2018) Studying how analysts use interaction in visualization systems is an important part of evaluating how well these interactions support analysis needs, like generating insights or performing tasks. Analytic Provenance commonly known as interaction histories contains information about the sequence of choices that analysts make […]

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Papers Provenance Sensemaking Visual Analytics

Analytic provenance for criminal intelligence analysis

Chinese Journal of Network and Information Security (2018) In criminal intelligence domain where solution discovery is often serendipitous,it demands techniques to provide transparent evidences of top-down and bottom-up analytical processes of analysts while sifting through or transforming sourced data to provide plausible explanation of the fact.Management and tracing of such security sensitive analytical information flow […]

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Machine learning Papers Sensemaking Visual Analytics

Evaluating interactive visualization of multidimensional data projection with feature transformation

Multimodal Technologies and Interaction 2017 There has been extensive research on dimensionality reduction techniques. While these make it possible to present visually the high-dimensional data in 2D or 3D, it remains a challenge for users to make sense of such projected data. Recently, interactive techniques, such as Feature Transformation, have been introduced to address this. […]

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Highlights Papers Provenance Sensemaking Visual Analytics

SenseMap: Supporting Browser-based Online Sensemaking through Analytic Provenance (VAST 2016)

The paper is accepted by the VAST 2016 conference! The paper introduced a new tool called SenseMap that help users with online sensemaking for daily tasks such as find a camera, book a holiday, etc. The tool is available as a Chrome plugin (very early stage = lots of bugs šŸ™‚ and there is more […]