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23rd Annual ACM Interaction Design and Children conference (IDC) - Inclusive Happiness

作者： Zhang, Feiran Possaghi, Isabella Sharma, Kshitij Papavlasopoulou, Sofia Norwegian Univ Sci & Technol Dept Comp Sci Trondheim Norway

ISBN: (纸本)9798400704420

Nowadays, learning activities have become more interactive and collaborative than ever before. However, it remains unclear what makes the group perform differently in such a learning context. With the empowerment of multimodal data (MMD), we conducted a field study involving 12 groups of children who collaborated during two-day-long classroom activities. This paper reports on a quantitative analysis and temporal explanation concerning the relation between children's performance and their group-level MMD measurements during a collaborative coding session in a design thinking activity. We computed each group's performance based on the created artefacts and compared the groups with better performance than the others. The results demonstrate that high-performing groups show more joint engagement, joint visual attention, and joint emotional intensity of delight, while low-performing groups show significantly more joint emotional intensity of frustration. In addition, the evolution over the four temporal phases showed different patterns between high and low-performing groups. Finally, this paper discusses design and theoretical implications for educators, researchers and practitioners.

关键词： Multimodal data Performance Children Coding Regulated Learning

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SimGlim: Simplifying glimpse based active visual reconstruction 23

SimGlim: Simplifying glimpse based active visual reconstruct...

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23rd IEEE/CVF Winter conference on Applications of Computer Vision (WACV)

作者： Jha, Abhishek Seifi, Soroush Tuytelaars, Tinne Katholieke Univ Leuven ESAT PSI Leuven Belgium

ISBN: (纸本)9781665493468

In active visual exploration, an agent with a limited field of view needs to sample the most informative local observations of an environment in order to model the global context. Current works train this selection strategy by defining a complex architecture built upon features learned through convolutional encoders. In this paper, we first discuss why vision transformers are better suited than CNNs for such an agent. Next, we propose a simple transformer-based active visual sampling model, called "SimGlim", which utilises transformer's inherent self-attention architecture to sequentially predict the best next location based on the current observable environment. We show the efficacy of our proposed method on the task of image reconstruction in the partial observable setting and compare our model against existing state-of-the-art active visual reconstruction methods. Finally, we provide ablations for the parameters of our design choice to understand their importance in the overall architecture.

关键词： visualization Computer vision Reconstruction algorithms Predictive models Transformers data models Task analysis

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GraphFederator: Federated visual analysis for Multi-party Graphs 17

GraphFederator: Federated Visual Analysis for Multi-party Gr...

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17th Pacific visualization conference (PacificVis)

作者： Han, Dongming Zhu, Haiyang Chen, Wei Pan, Rusheng Liu, Yijing Zhou, Jiehui Feng, Haozhe Zhang, Tianye Wang, Xumeng Zhu, Minfeng Tao, Jianrong Fan, Changjie Zhang, Xiaolong (Luke) Zhejiang Univ State Key Lab CAD&CG Hangzhou Peoples R China Hithink RoyalFlush Informat Network Co Ltd Hangzhou Peoples R China Zhejiang Univ Minist Educ Lab Art & Archaeol Image Hangzhou Peoples R China Nankai Univ Coll Comp Sci Tianjin Peoples R China Zhejiang Univ Hangzhou Peoples R China Netease Fuxi AI Lab Hangzhou Peoples R China Penn State Univ University Pk PA 16802 USA Wuchan Zhongda Digital Technol Co Ltd Hangzhou Peoples R China

ISBN: (纸本)9798350393811;9798350393804

This paper presents GraphFederator, a novel approach to construct federated representations of multi-party graphs and supports privacy-preserving visual analysis of graphs. Inspired by the concept of federated learning, we reformulate the analysis of multi-party graphs into a decentralization process. The new federation framework consists of a shared module that is responsible for federated modeling and analysis, and a set of local modules that run on respective graph data. Specifically, we propose a Federated Graph Representation Model (FGRM) that is learned from encrypted characteristics of multi-party graphs in local modules. We also design multiple visualization tools for federated visualization, exploration, and analysis of multi-party graphs. Experimental results on two datasets demonstrate the effectiveness of our approach.

关键词： Federated learning Graph analysis Graph visual analysis Representation learning

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The TMMTA Model: Momentum Tracking and analysis of Tennis Matches 24

The TMMTA Model: Momentum Tracking and Analysis of Tennis Ma...

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2024 International conference on Smart City and Information System, ICSCIS 2024

作者： Chen, Feiyang Guo, Yang Wang, Tianqi School of Management Northeastern University at Qinhuangdao Qinhuangdao Hebei066099 China School of Mathematics and Statistics Northeastern University at Qinhuangdao Qinhuangdao Hebei066099 China

ISBN: (纸本)9798400710155

In sports, the generation and change of momentum are always accompanied, and tennis is no exception. It is of great significance for winning to analyze how the momentum generates, changes and its impact on the score in the tennis match. Most of the existing studies theoretically study the nature and influence of momentum in tennis matches or focus on the point results and whether winning or losing the match. However, the analysis of momentum changes in data series and the exploration of the relationship and influence degree of specific behavior and data features with momentum are missing. To this end, this study constructs a Tennis Matches Momentum Tracking and analysis Model (TMMTA) based on the time-series analysis to analyze the data of five games Carlos Alcaraz participated in and the model is applied to multiple players and multiple matches to verify the prediction effect and conclusion of the model. Experiments show that the visual analysis results are very good, which can effectively analyze the momentum changes and specific performance in players' matches and provide insight for player training and match strategy. The three game behaviors, double errors, untouchable winning shots and unforced errors, have the most weight on scoring and are closely related to strategic momentum. Strategic momentum has a higher impact on matches score than mental momentum, and the combination of the two is the best prediction. This has important implications for coaches to value and utilize the role of Momentum. © 2024 ACM.

关键词： Tennis

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Enhancing Cubes with Models to Describe Multidimensional data

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INFORMATION SYSTEMS FRONTIERS 2022年第1期24卷 31-48页

作者： Francia, Matteo Marcel, Patrick Peralta, Veronika Rizzi, Stefano Univ Bologna DISI Bologna Italy Univ Tours LIFAT Tours France

The Intentional Analytics Model (IAM) has been recently envisioned as a new paradigm to couple OLAP and analytics. It relies on two basic ideas: (i) letting the user explore data by expressing her analysis intentions rather than the data she needs, and (ii) returning enhanced cubes, i.e., multidimensional data annotated with knowledge insights in the form of interesting model components (e.g., clusters). In this paper we contribute to give a proof-of-concept for the IAM vision by delivering an end-to-end implementation of describe, one of the five intention operators introduced by IAM. Among the research challenges left open in IAM, those we address are (i) automatically tuning the size of models (e.g., the number of clusters), (ii) devising a measure to estimate the interestingness of model components, (iii) selecting the most effective chart or graph for visualizing each enhanced cube depending on its features, and (iv) devising a visual metaphor to display enhanced cubes and interact with them. We assess the validity of our approach in terms of user effort for formulating intentions, effectiveness, efficiency, and scalability.

关键词： OLAP Models Multidimensional data data exploration

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Machine Learning Modeling in Industrial Processes for visual analysis 25th

Machine Learning Modeling in Industrial Processes for Visual...

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25th International conference on Engineering Applications of Neural Networks (EANN)

作者： Moran, Antonio Alonso, Serafin Fuertes, Juan J. Prada, Miguel A. Roca, Lidia Dominguez, Manuel Univ Leon Escuela Ingn SUPPRESS Res Grp Campus Vegazana Leon 24007 Spain CIEMAT Plataforma Solar Almeria Ctra Senes S-N Almeria 04200 Spain

ISBN: (纸本)9783031624940;9783031624957

The use of visualization tools makes it easy to analyze the operation of an industrial process. Given the large number of variables involved in today's industrial systems, it is necessary to use techniques that reduce both the size of the data and the number of samples. In addition, since industrial systems involve similar processes running in parallel, this information can be added to analyze the processes. This paper proposes the use of a variant of self-organizing maps, Env-SOM, which allows conditioning the projection of these maps based on a set of variables. This variant is applied to operational data from AQUA-SOL ii pilot plant located at the Plataforma Solar de Almer ' ia (PSA), which consists of several flat-plate collector loops that share a common water distribution pipe. Projecting the data in a conditional manner visualization maps are generated based on differences that allow to determine the existing differences between the heating loops.

关键词： Environmental conditions data mining Exploratory analysis Self-Organizing Maps envSOM

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Kinematic Modeling, Optimal Sizing, and Accuracy analysis of a Compact Delta Robot 5th

Kinematic Modeling, Optimal Sizing, and Accuracy Analysis of...

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5th International conference on Smart Applications and data analysis for Smart Cyber Physical Systems

作者： Houmairi, Said Bouaicha, Mohammed Elkardaboussi, Youssef Zegrari, Mourad Educ Training Ctr Dept Mech Engn Settat Morocco Hassan 1St Univ Lab Engn Ind Management & Innovat IMII Fac Sci & Technol Settat Morocco Univ UM6P EMINES Sch Ind Management Ben Guerir Morocco Hassan II Univ ENSAM Lab Complex Cyber Phys Syst BP 9167 Mers Sultancasablanca Morocco

ISBN: (纸本)9783031770425;9783031770432

Parallel manipulator robots are extensively employed in numerous applications due to their notable advantages, including high speeds, accelerations, stiffness, and dynamic performance. In the realm of additive manufacturing, there is a growing exploration of these kinematic structures to devise innovative strategies for curved and multi-directional fabrication. Within this context, this study presents the design, dimensional synthesis and the manufactured prototype of an inclined configuration of a delta robot specifically tailored for additive manufacturing applications. Thework begins by introducing the kinematic modeling of the inclined configuration, followed by the synthesis of optimal dimensions through a geometrical approach. Subsequently, a new method for accuracy analysis within the reachable workspace is proposed. The numerical results demonstrate the significant potential of this architecture for the development of low-cost 3D printers. The presented kinematic modeling and accuracy analysis provide valuable insights for designing and comparing delta robot-based 3D printers. The prototype exhibits satisfactory results in terms of precision, repeatability and resolution.

关键词： Forward Kinematic Inverse Kinematic Delta Robot Accuracy analysis

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Interpreting Autonomous Driving Corner Cases: A visual Analytics Approach 17

Interpreting Autonomous Driving Corner Cases: A Visual Analy...

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17th Pacific visualization conference (PacificVis)

作者： Sun, Yi Shao, Zekai Qiu, Xingyu Li, Yun Liu, Ting Xiang, Linbing Sun, Dong Chen, Siming Fudan Univ Shanghai Peoples R China NIO Shanghai Peoples R China

ISBN: (纸本)9798350393811;9798350393804

With the progression of artificial intelligence, there has been substantial advancement in autonomous driving technology. However, even the most advanced systems may confront failures in certain corner cases, necessitating enhanced analytical approaches. Traditional approaches focused on the numerical analysis of isolated sensor data, are often insufficient for deriving meaningful insights in such situations. To address this inadequacy, we propose a visual analytics approach, crafted to aid domain experts in performing analyses and extracting system improvements from cases with unexpected behaviors. This approach intricately integrates extensive driving scenarios and low-level module behaviors into the autonomous driving decision-making process, utilizing rich visualizations and an interface for interactive exploration and systematic synthesis of findings. Uniquely, our system opens the "black box" of modules in the decision-making pipeline during corner cases, taking into account both the overall decision-making pipeline and the fine-grained behaviors of the modules in the pipeline, setting our approach apart from previous works. To validate our system's effectiveness, we perform two case studies, inviting domain experts for evaluation, and the results confirm our system's efficacy in allowing experts to obtain crucial insights into autonomous driving systems.

关键词： visual Analytics-data visualization-Interactive visualization Autonomous Driving-AD Simulations-Corner Cases

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High-level Grammars for visualization and visual Analytics 36

High-level Grammars for Visualization and Visual Analytics

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36th SIBGRAPI conference on Graphics, Patterns and Images (SIBGRAPI)

作者： Moreira, Gustavo Laget, Marcos FerwiraI, Nivan Miranda, Fabio Univ Illinois Chicago IL 60680 USA Univ Fed Fluminense Niteroi RJ Brazil Univ Fed Pernambuco Recife PE Brazil

ISBN: (纸本)9798350338737;9798350338720

The increase in data availability and the popularization of data science brought a continuously growing need to use visualizations to explore complex data. Creating new visualizations, however, is a difficult task that often requires extensive programming expertise. High-level grammars for authoring visualizations provide a systematic and flexible way to specify visualizations in a declarative manner, lowering the entry barrier for data analysis. Such grammars effectively assist in the exploration of the visualization design space and of complex datasets. The goal of this tutorial paper is to then provide a summary of recently proposed grammars, so that a broad audience (e.g., students, researchers, practitioners) can better understand how they are designed and used in practice for visualization and visual analytics tasks.

关键词： visual analytics

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Current Status of the Application of Metaverse in Education: visual analysis Based on Knowledge Graphs 4

Current Status of the Application of Metaverse in Education:...

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4th International conference on Educational Technology, ICET 2024

作者： Zhou, Xiaochun Jia, Ruotian Li, Xing Tang, Minmin Qi, Liu Jianghan University Institute of Education Wuhan China Luzhou Normal Affiliated Primary School Chengxi School Luzhou China

ISBN: (纸本)9798350376944

Based on the relevant papers and citation data on the application of the metaverse in education published in SSCI and SCI-E in Web of Science from 2011 to 2024, this study uses VOSviewer and CiteSpace for visual analysis. From the perspectives of literature authors, countries, research hotspots, and research trend evolution, the mainstream research hotspots in this field are summarized to grasp the development pulse of this field. Research has found that: (1) The application of the metaverse in education has received increasing attention in the academic community. Countries/affiliated institutions located in the same region are close partners in scientific cooperation;(2) There is a clear evolutionary path in the research focus, shifting from understanding the educational potential of the metaverse to understanding its application value and its impact on learner performance and perception;(3) The application of the metaverse in education requires further exploration of future directions to address challenges. © 2024 IEEE.

关键词： Knowledge graph

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