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Working conference on Advanced visual Interfaces (AVI)

作者： Xie, Liwenhan O'Donnell, James Bach, Benjamin Fekete, Jean-Daniel Peking Univ Beijing Peoples R China Univ Edinburgh Edinburgh Midlothian Scotland Univ Paris Saclay LRI Inria CNRS Paris France

ISBN: (纸本)9781450375351

We present MeasureFlow, an interface to visually and interactively explore dynamic networks through time-series of network measures such as link number, graph density, or node activation. When networks contain many time steps, become large and more dense, or contain high frequencies of change, traditional visualizations that focus on network topology, such as animations or small multiples, fail to provide adequate overviews and thus fail to guide the analyst towards interesting time points and periods. MeasureFlow presents a complementary approach that relies on visualizing time-series of common network measures to provide a detailed yet comprehensive overview of when changes are happening and which network measures they involve. As dynamic networks undergo changes of varying rates and characteristics, network measures provide important hints on the pace and nature of their evolution and can guide an analysts in their exploration;based on a set of interactive and signal-processing methods, MeasureFlow allows an analyst to select and navigate periods of interest in the network. We demonstrate MeasureFlow through case studies with real-world data.

关键词： dynamic networks exploratory data analysis network measures interaction signal processing

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Enhancing Usability Evaluation of Web-Based Geographic Information Systems (WebGIS) with visual Analytics 11

Enhancing Usability Evaluation of Web-Based Geographic Infor...

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11th International conference on Geographic Information Science, GIScience 2021

作者： Unrau, RenÃ Kray, Christian Institute for Geoinformatics University of MÃnster Germany

ISBN: (纸本)9783959771665

Many websites nowadays incorporate geospatial data that users interact with, for example, to filter search results or compare alternatives. These web-based geographic information systems (WebGIS) pose new challenges for usability evaluations as both the interaction with classic interface elements and with map-based visualizations have to be analyzed to understand user behavior. This paper proposes a new scalable approach that applies visual analytics to logged interaction data with WebGIS, which facilitates the interactive exploration and analysis of user behavior. In order to evaluate our approach, we implemented it as a toolkit that can be easily integrated into existing WebGIS. We then deployed the toolkit in a user study (N=60) with a realistic WebGIS and analyzed usersâ interaction in a second study with usability experts (N=7). Our results indicate that the proposed approach is practically feasible, easy to integrate into existing systems, and facilitates insights into the usability of WebGIS. © LIPIcs 2020.

关键词： Geographic information systems

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A Design Process Integrating Human-data Interaction Guidelines and Semio-Participatory Design 1

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21st International conference on Enterprise Information Systems (ICEIS)

作者： Victorelli, Eliane Zambon Dos Reis, Julio Cesar Souza Santos, Antonio Alberto Schiozer, Denis Jose Univ Campinas UNICAMP Inst Comp Campinas Brazil Univ Campinas UNICAMP Ctr Petr Studies Campinas Brazil

ISBN: (数字)9783030407834

ISBN: (纸本)9783030407834;9783030407827

Software tools that facilitate human interaction with data play a key role in the understanding of information from large masses of data. Interaction design in the domain of petroleum field exploration is a challenging task, in part because of its complex intrinsic context, and the lack of methodological framework to support design activities. The use of guidelines builds on the expertise of design specialists, but does not leverage the knowledge of the various stakeholders in the problem. In this article, we advocate a more socially comprehensive approach to the design of Human-data Interaction (HDI) applications, articulating design guidelines with artifacts and methods from Organizational Semi-otics and Participatory Design. Our investigation defines a process for the design of visual data analysis tools and conducts a case study in the context of petroleum production strategy with the participation of key stakeholders. We propose practices for each step of our design process. Adapted participatory practices combined with design guidelines were used to clarify the problem, design the solution, and evaluate the prototype. Participants showed satisfaction with the employed design practices and the outcomes.

关键词： Human-data Interaction Participatory design visual analytics

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Web-based 3D HSV color data gathering and visualization for applied cinemetrics: A case study in Hayao Miyazaki's animated motion pictures 2020

Web-based 3D HSV color data gathering and visualization for ...

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3rd International conference on Web Studies: Emergent of the Web in Multicultural Contexts, WS.3 2020

作者： Isaac, Carlos G Mexico

ISBN: (纸本)9781450388856

The tasks of judgment and criticism in cinema have been based predominantly on interpretive methods to establish their disciplinary mechanisms. Nowadays, the web's possibilities for supporting artificial intelligence, mathematics, and statistical computing techniques applied to the communication and humanities phenomena, such as the visual narrative arts, allows the development of new tools that aim at exploring the use of quantitative instrumentation for film analysis. Color grouping via K-Means Clustering and JavaScript based graphic visualization and data management, are procedures that web-based services can exploit for a quantitative film analysis. The methods discussed in this paper are examined under Miyazaki's animated films and shows a measurable relationship between the director's creative process and the perceptual dominant colors in the films. Furthermore, our proposed solution applies the combination and the exploration of such technologies for a web-based tool that helps researchers, scholars, filmmakers, and designers to gather color data from video media and to visualize them according to a 3D HSV/HSB graphical model. © 2020 ACM.

关键词： Color

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BDCAT 2019 - Proceedings of the 6th IEEE/ACM International conference on Big data Computing, Applications and Technologies

BDCAT 2019 - Proceedings of the 6th IEEE/ACM International C...

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6th IEEE/ACM International conference on Big data Computing, Applications and Technologies, BDCAT 2019

ISBN: (纸本)9781450370165

The proceedings contain 23 papers. The topics discussed include: rapid, progressive sub-graph explorations for interactive visual analytics over large-scale graph datasets;GPU acceleration of range queries over large data sets;going deeper or wider: throughput prediction for cluster tools with machine learning;accelerating machine learning I/O by overlapping data staging and mini-batch generations;cryptocurrency price prediction using time series and social sentiment data;an exploration of commuter travel time through social media analytics on the cloud;a simple and efficient federated recommender system;an analysis of slant in tweets: case study;and crowd-counting through a cascaded, multi-task convolutional neural network.

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analysis on the performance of VIO according to Trajectory Planning of UAV 20

Analysis on the performance of VIO according to Trajectory P...

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20th International conference on Control, Automation and Systems (ICCAS)

作者： Lee, EungChang Mason Myung, Hyun Korea Adv Inst Sci & Technol Sch Elect Engn KI AI KI R Daejeon 34141 South Korea

ISBN: (纸本)9788993215199

Recently, Unmanned Aerial Vehicles (UAVs) have been widely researched to accomplish tasks such as structural inspection, drone racing, and exploration of an unknown environment. To make the most of UAV and correctly estimate its pose with inexpensive and light-weight sensors such as Inertial Measurement Unit (IMU) and cameras, visual Inertial Odometry (VIO) has been intensively researched. There were a few analyses on the performance of VIO methods where only estimated pose error and utilization of the computing resources were considered. However, the performance of them according to trajectory planning was not treated. Trajectory planning can be one of the main reasons for the drift of localization from VIO since the sensors acquire the data at their sampling rates. In this paper, we analyze the performance of VIO on various trajectories that have different orders of polynomials for the desired position over time and hence different velocity, acceleration, and the first, second derivative of acceleration, using simulator which reflects the real dynamics of UAV. As a result, the higher the order of polynomial for trajectory, the better performance of VIO can be observed.

关键词： Indoor Navigation visual Inertial Odometry Unmanned Aerial Vehicle Trajectory Planning Control

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visual Analytic System for Subject Matter Expert Document Tagging using Information Retrieval and Semi-Supervised Machine Learning 23

Visual Analytic System for Subject Matter Expert Document Ta...

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23rd International conference on the Information visualisation (iv) - Incorporating Biomedical visualization, Learning Analytics and Geometric Modelling and Imaging

作者： Hagerman, Craig Brath, Richard Langevin, Scott Uncharted Software Toronto ON Canada

ISBN: (纸本)9781728128382

We present a system that combines ambient visualization, information retrieval and machine learning to facilitate the ease and quality of document classification by subject matter experts for the purpose of organizing documents by "tags" inferred by the resultant classifiers. This system includes data collection, a language model, query exploration, feature selection, semi-supervised machine learning and a visual analytic workflow enabling non-data scientists to rapidly define, verify, and refine high-quality document classifiers.

关键词： visual analytics classifiers machine learning ambient visualization mixed-initiative analytics information retrieval

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visual exploration of migration patterns in gull data

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INFORMATION visualIZATION 2019年第1期18卷 138-152页

作者： Konzack, Maximilian Gijsbers, Pieter Timmers, Ferry van Loon, Emiel Westenberg, Michel A. Buchin, Kevin TU Eindhoven POB 513 NL-5600 MB Eindhoven Netherlands Univ Amsterdam Amsterdam Netherlands

We present a visual analytics approach to explore and analyze movement data as collected by ecologists interested in understanding migration. Migration is an important and intriguing process in animal ecology, which may be better understood through the study of tracks for individuals in their environmental context. Our approach enables ecologists to explore the spatio-temporal characteristics of such tracks interactively. It identifies and aggregates stopovers depending on a scale at which the data is visualized. Statistics of stopover sites and links between them are shown on a zoomable geographic map which allows to interactively explore directed sequences of stopovers from an origin to a destination. In addition, the spatio-temporal properties of the trajectories are visualized by means of a density plot on a geographic map and a calendar view. To evaluate our visual analytics approach, we applied it on a data set of 75 migrating gulls that were tracked over a period of 3 years. The evaluation by an expert user confirms that our approach supports ecologists in their analysis workflow by helping to identifying interesting stopover locations, environmental conditions or (groups of) individuals with characteristic migratory behavior, and allows therefore to focus on visual data analysis.

关键词： visual analytics animal behavior data visualization spatio-temporal visualization geovisualization

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MivA: Multimodal Interactions for Facilitating visual analysis with Multiple Coordinated Views

MIVA: Multimodal Interactions for Facilitating Visual Analys...

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International conference on Information visualisation (iv)

作者： Imran Chowdhury Abdul Moeid Enamul Hoque Muhammad Ashad Kabir Md. Sabir Hossain Mohammad Mainul Islam Chittagong University of Engineering & Technology Chittagong Bangladesh York University Toronto Canada Charles Sturt University NSW Australia Verizon Media Sunnyvale CA USA

ISBN: (数字)9781728191348

ISBN: (纸本)9781728191355

Typically, people perform visual data analysis using mouse and touch interactions. While such interactions are often easy to use, they can be inadequate for users to express complex information and may require many steps to complete a task. Recently natural language interaction has emerged as a promising technique for supporting exploration with visualization, as the user can express a complex analytical question more easily. In this paper, we investigate how to synergistically combine language and mouse-based direct manipulations so that weakness of one modality can be complemented by the other. To this end, we have developed a novel system, named Multimodal Interactions System for visual analysis (MivA), that allows user to provide input using both natural language (e.g., through speech) and direct manipulation (e.g., through mouse or touch) and presents the answer accordingly. To answer the current question in the context of past interactions, the system incorporates previous utterances and direct manipulations made by the user within a finite-state model. We tested the applicability of MivA on several dashboards including a COVID-19 dashboard that visualizes coronavirus cases around the globe. Our demonstration provides initial indication that the MivA system enhances the flow of visual analysis by enabling fluid, iterative exploration and refinement of data in a dashboard with multiple-coordinated views.

关键词： COVID-19 visualization Fluids Natural languages data visualization Mice Task analysis

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Research on visualization data of hotspots and development trend of domestic smart scenic spots 21

Research on visualization data of hotspots and development t...

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Proceedings of the 2021 4th International conference on E-Business, Information Management and Computer Science

作者： Yuanjing Zhang Wuhan Business University China

ISBN: (纸本)9781450395687

In this paper, Knowledge Map is used to make a visual analysis of 802 Chinese papers related to smart scenic spot research collected by CNKI, discuss the hot spots and development trends of smart scenic spot research in China. The research finds that the promotion of smart tourism policy plays a positive role in promoting the national smart tourism reform plan and realizing the establishment and implementation of smart tourism scenic spots in various regions, thus driving the growth of literature quantity. Nowdays the hotspots of smart tourism research in China focus on "smart scenic spots" "smart tourism" "scenic spot management" and "tourist attractions", with increasing heat. However, core authors and institutions published fewer papers, and their cooperation with each other was scattered, so no representative academic group was formed. At the same time, the cooperation of most research institutions in China is divided by regional scope, and trans-regional, cross-disciplinary and cross-institutional cooperation needs to be further strengthened. At present, domestic researches on smart scenic spots have gone deep into the practical application level, at the present stage, the development results are uneven, and the efficiency of production, education and research institutes is not obvious. In the future, the high-quality development of smart scenic spots still needs the exploration and deepening of scientific researchers.

关键词： Artificial intelligence

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