Visual Analytics: Data, Analytical and Reasoning Provenance

Varga, Margaret; Varga, Caroline

doi:10.1007/978-3-319-40226-0_9

Cited by 7 publications

(4 citation statements)

References 9 publications

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“…A sensemaking support system (S3) prototype was developed based on visual encoding, visual summary cards, a record browser, magnetic grid, multiple timelines, a graph analyzer and intelligence studies in Lavigne and Gouin (2011a, b) and . A sensemaking toolbox with animated map and timeline, visual summary and magnet grid used as visual widgets for situational awareness was developed in Varga and Lavigne (2016). Social network analysis (SNA) in a non-maritime context such as an extended graph analyzer widget and a generic graph analyzer widget in counter-insurgency are applications of VA (Lavigne, 2014a).…”

Section: Jdal 72mentioning

confidence: 99%

“…(2011a). A sense-making toolbox with animated map and timeline, visual summary and magnet grid used as visual widgets for situational awareness was developed in Varga and Lavigne (2016). Social network analysis (SNA) in a non-maritime context such as an extended graph analyzer widget and a generic graph analyzer widget in counter-insurgency are applications of VA (Lavigne, 2014a).…”

Section: Multimodal Interactions and Communicationsmentioning

confidence: 99%

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A survey of technologies supporting design of a multimodal interactive robot for military communication

Paul

2023

JDAL

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PurposeThis paper presents a survey of research into interactive robotic systems for the purpose of identifying the state of the art capabilities as well as the extant gaps in this emerging field. Communication is multimodal. Multimodality is a representation of many modes chosen from rhetorical aspects for its communication potentials. The author seeks to define the available automation capabilities in communication using multimodalities that will support a proposed Interactive Robot System (IRS) as an AI mounted robotic platform to advance the speed and quality of military operational and tactical decision making.Design/methodology/approachThis review will begin by presenting key developments in the robotic interaction field with the objective of identifying essential technological developments that set conditions for robotic platforms to function autonomously. After surveying the key aspects in Human Robot Interaction (HRI), Unmanned Autonomous System (UAS), visualization, Virtual Environment (VE) and prediction, the paper then proceeds to describe the gaps in the application areas that will require extension and integration to enable the prototyping of the IRS. A brief examination of other work in HRI-related fields concludes with a recapitulation of the IRS challenge that will set conditions for future success.FindingsUsing insights from a balanced cross section of sources from the government, academic, and commercial entities that contribute to HRI a multimodal IRS in military communication is introduced. Multimodal IRS (MIRS) in military communication has yet to be deployed.Research limitations/implicationsMultimodal robotic interface for the MIRS is an interdisciplinary endeavour. This is not realistic that one can comprehend all expert and related knowledge and skills to design and develop such multimodal interactive robotic interface. In this brief preliminary survey, the author has discussed extant AI, robotics, NLP, CV, VDM, and VE applications that is directly related to multimodal interaction. Each mode of this multimodal communication is an active research area. Multimodal human/military robot communication is the ultimate goal of this research.Practical implicationsA multimodal autonomous robot in military communication using speech, images, gestures, VST and VE has yet to be deployed. Autonomous multimodal communication is expected to open wider possibilities for all armed forces. Given the density of the land domain, the army is in a position to exploit the opportunities for human–machine teaming (HMT) exposure. Naval and air forces will adopt platform specific suites for specially selected operators to integrate with and leverage this emerging technology. The possession of a flexible communications means that readily adapts to virtual training will enhance planning and mission rehearsals tremendously.Social implicationsInteraction, perception, cognition and visualization based multimodal communication system is yet missing. Options to communicate, express and convey information in HMT setting with multiple options, suggestions and recommendations will certainly enhance military communication, strength, engagement, security, cognition, perception as well as the ability to act confidently for a successful mission.Originality/valueThe objective is to develop a multimodal autonomous interactive robot for military communications. This survey reports the state of the art, what exists and what is missing, what can be done and possibilities of extension that support the military in maintaining effective communication using multimodalities. There are some separate ongoing progresses, such as in machine-enabled speech, image recognition, tracking, visualizations for situational awareness, and virtual environments. At this time, there is no integrated approach for multimodal human robot interaction that proposes a flexible and agile communication. The report briefly introduces the research proposal about multimodal interactive robot in military communication.

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Section: Jdal 72mentioning

confidence: 99%

Section: Multimodal Interactions and Communicationsmentioning

confidence: 99%

A survey of technologies supporting design of a multimodal interactive robot for military communication

Paul

2023

JDAL

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“…When running a UAVA cycle, uncertainty will be propagated and accumulated along with the performed operations of the VA cycle according to the rules defined in Step 3. Varga et al [33] highlighted the importance of provenance analysis and provided potential visualization approaches. This implies that uncertainty tracking is required throughout the entire VA cycle.…”

Section: Step 5: Generate Provenance Of Uncertainty-aware Components ...mentioning

confidence: 99%

A Workflow to Systematically Design Uncertainty-Aware Visual Analytics Applications

Maack,

Raith,

Perez

et al. 2023

Preprint

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Visual Analytics (VA) is a paradigm for insight generation by using visual analysis techniques and automated reasoning by transforming data into hypotheses and visualization to extract new insights, feeding them back into the data. This enhances the data until the desired insight is found. Many applications use this principle to provide meaningful mechanisms to assist decision-makers in achieving their goals. This process can be affected by a variety of uncertainties that can interfere with the user decision-making process. Unfortunately, there is no methodical description and handling tool to systematically include uncertainty in VA. We provide a unified workflow to transform the classic VA cycle into an uncertainty-aware Visual Analytics (UAVA) cycle consisting of five steps. Three real-world applications represent examples of the implementation of the UAVA cycle and the described workflow to prove its usability.

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“…EMRs contain large bodies of complex data, and, oftentimes, EMR-driven tasks are ill-defined. Thus, users have to rely on their experience, knowledge, and judgment to perform complex activities (i.e., decision-making and problem-solving) in a healthcare setting [82]. Human-in-the-loop mechanisms involving interaction with the visual and analytical modules of VA systems can thus help healthcare activities [71].…”

Section: Visual Analytics and Analytical Reasoningmentioning

confidence: 99%

Multiple Regression Analysis and Frequent Itemset Mining of Electronic Medical Records: A Visual Analytics Approach Using VISA_M3R3

Abdullah

Rostamzadeh

Sedig

et al. 2020

Data

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Medication-induced acute kidney injury (AKI) is a well-known problem in clinical medicine. This paper reports the first development of a visual analytics (VA) system that examines how different medications associate with AKI. In this paper, we introduce and describe VISA_M3R3, a VA system designed to assist healthcare researchers in identifying medications and medication combinations that associate with a higher risk of AKI using electronic medical records (EMRs). By integrating multiple regression models, frequent itemset mining, data visualization, and human-data interaction mechanisms, VISA_M3R3 allows users to explore complex relationships between medications and AKI in such a way that would be difficult or sometimes even impossible without the help of a VA system. Through an analysis of 595 medications using VISA_M3R3, we have identified 55 AKI-inducing medications, 24,212 frequent medication groups, and 78 medication groups that are associated with AKI. The purpose of this paper is to demonstrate the usefulness of VISA_M3R3 in the investigation of medication-induced AKI in particular and other clinical problems in general. Furthermore, this research highlights what needs to be considered in the future when designing VA systems that are intended to support gaining novel and deep insights into massive existing EMRs.

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Visual Analytics: Data, Analytical and Reasoning Provenance

Cited by 7 publications

References 9 publications

A survey of technologies supporting design of a multimodal interactive robot for military communication

A survey of technologies supporting design of a multimodal interactive robot for military communication

A Workflow to Systematically Design Uncertainty-Aware Visual Analytics Applications

Multiple Regression Analysis and Frequent Itemset Mining of Electronic Medical Records: A Visual Analytics Approach Using VISA_M3R3

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