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检索条件"任意字段=IEEE Information Visualization Conference/IEEE Visualization Conference"

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Effects of Confidence visualization in Automated Assembly Instructions

Effects of Confidence Visualization in Automated Assembly In...

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Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), ieee conference on

作者： Kazuma Mori Isidro Butaslac Taishi Sawabe Hirokazu Kato Alexander Plopski Nara Institute of Science and Technology Graz University of Technology

ISBN: (数字)9798331514846

ISBN: (纸本)9798331525637

Automatic Augmented Reality (AR)-based work support systems seamlessly display the next step instruction when the current task step completion is detected, all without requiring explicit user interaction. However, whenever the progress estimation fails it can lead to confusion and loss of trust in the system. To support the user’s understanding of the reliability of the displayed instructions, we display the confidence of the current step. To explore the effects the presented confidence has on user interaction with the system, we conducted a Wizard-of-Oz style user study with 12 participants. Participants had to assemble a LEGO model with and without confidence visualization, where the confidence for each step was predefined. Our results showed that while the visualization did not increase the user’s performance, participants preferred having the confidence displayed to them, especially when it was low. Our findings provide insights into the design of enhancing the user’s perception of uncertainty in current step detection in automated instruction systems.

关键词： visualization Solid modeling Uncertainty Three-dimensional displays conferences Estimation User interfaces Reliability Augmented reality Assembly

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EuroVis 2020 - Eurographics / ieee VGTC conference on visualization 2020, Posters

EuroVis 2020 - Eurographics / IEEE VGTC Conference on Visual...

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22nd Eurographics / ieee VGTC conference on visualization, EuroVis 2020

ISBN: (纸本)9783038681052

The proceedings contain 11 papers. The topics discussed include: a tool to help lay out multiple view visualizations guided by view analysis;ResFlow: visualizing global resource flows;data driven multi-hazard risk visualization;designing effective network visualization representations of disinformation operations - improving DisInfoVis;visual analysis of car-hailing reimbursement data for overtime;the impact of EuroVis publications;Rockwell adhesion test - approach to standard modernization;a tool for N-way analysis of programming exercises;and accurate visualization of galaxy velocity fields from three-dimensional integral field spectroscopy data.

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Familiar Acoustic Cues for Legible Service Robots 31

Familiar Acoustic Cues for Legible Service Robots

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31st ieee International conference on Robot and Human Interactive Communication (RO-MAN) - Social, Asocial, and Antisocial Robots

作者： Angelopoulos, Georgios Vigni, Francesco Rossi, Alessandra Russo, Giuseppina Turco, Mario Rossi, Silvia Univ Naples Federico II Interdept Ctr Adv Robot Surg ICAROS Naples Italy Univ Naples Federico II Dept Elect Engn & Informat Technol DIETI Naples Italy

ISBN: (纸本)9781728188591

When navigating in a shared environment, the extent to which robots are able to effectively use signals for coordinating with human behaviors can ameliorate dissatisfaction and increase acceptance. In this paper, we present an online video study to investigate whether familiar acoustic signals can improve the legibility of a robot's navigation behavior. We collected the responses of 120 participants to evaluate their perceptions of a robot that communicates with one of the three used non-verbal navigational cues (an acoustic signal, an acoustic in pair with a visual signal, and a dissimilar frequency acoustic signal). Our results showed a significant legibility improvement when the robot used both light and acoustic signals to communicate its intentions compared to using only the same acoustic sound. Additionally, our findings highlighted that people also perceived differently the robot's intentions when they were expressed through two frequencies of the mere sound. The results of this work suggest a paradigm that can help the development of mobile service robots in public spaces.

关键词： visualization Navigation Service robots Robot kinematics Prototypes Acoustics Behavioral sciences

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Helicopter and Rover Operations on Mars using the Robot Sequencing and visualization Program (RSVP)

Helicopter and Rover Operations on Mars using the Robot Sequ...

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2022 ieee Aerospace conference, AERO 2022

作者： Koch, Justin Johnson, Garrett Wiltsie, Nicholas Hartman, Frank Alibay, Farah Yen, Jeng Jet Propulsion Laboratory California Institute of Technology 4800 Oak Grove Dr. PasadenaCA91109 United States

ISBN: (数字)9781665437608

ISBN: (纸本)9781665437608

The NASA Ingenuity helicopter and Perseverance rover demonstrated the first coordinated operation between a ground based rover and aerial helicopter on another planet in April 2021. This included successful deployment of the helicopter from the belly of the rover and multiple flights of the helicopter while the rover documented the event with imaging, video, and audio. The rover relayed commands and wake up schedules to the helicopter, which it received during its daily communications with the Deep Space Network. Thus, operators on Earth needed to include commanding for both the rover and the helicopter in the daily uplink bundles. Sequencing and visualization of spacecraft commands is an integral part of verifying a set of activities prior to uplink, through simulation of hardware motion and interaction with terrain meshes. The introduction of the Ingenuity helicopter presented a need for planning multi-spacecraft interactions between the rover and helicopter. This was especially important during the critical event of driving away post helicopter deployment, involving close clearances between the systems. Helicopter flights needed to ensure a keepout distance from the rover, subsequent rover traverses needed to avoid coming into contact with the helicopter, and imaging needed to be correctly pointed to include the helicopter location and flight path. All of these capabilities were incorporated into the operations planning software used by the Helicopter Integration Engineer team to model and verify plans involving both rover and helicopter commanding. In this paper we discuss updates to the Robot Sequencing and visualization Program (RSVP), used for coordinating the interactions between the Ingenuity helicopter and Perseverance rover. RSVP is a visual simulation tool that fuses CAD models of the rover and helicopter, polygonal terrain meshes derived from stereo imagery, orbital and local digital elevation models (DEM), and a high fidelity kinematic simulation of ve

关键词： NASA

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Empowerment of LMS Prometheus for MPEI Educational Process 6

Empowerment of LMS Prometheus for MPEI Educational Process

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6th International conference on information Technologies in Engineering Education, Inforino 2022

作者： Petrov, Sergey Merenkov, Dmitry Shirinskii, Sergey Kryzhov, Dmitrii Letyagina, Marina National Research University MPEI Moscow Russia

ISBN: (纸本)9781665405775

The paper presents the operation of the learning management system Prometheus with additional capabilities, which are not provided by the standard specification of the system. The empowerment of the learning management system was made to organize high-quality training within educational environment of National Research University Moscow Power Engineering Institute. The technique of automatic generation of test tasks in the format of LMS Prometheus is described. The export of students' grades from the LMS Prometheus to MPEI educational process information system BARS is considered. The integration of objects into the testing system of LMS Prometheus is considered, scenarios for using PDF multimedia objects in the testing system is shown. © 2022 ieee.

关键词： Training Learning management systems visualization Multimedia systems System improvement Task analysis Standards

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Utilizing Game Engine for Development Interactive 3-Dimensional Geographic information System (GIS) Agriculture Commodity Selection and Land Evaluation

Utilizing Game Engine for Development Interactive 3-Dimensio...

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ieee International conference on Systems, Man, and Cybernetics (SMC)

作者： Maulana, H. Kanai, H. Univ Komputer Indonesia Dept Informat Engn & Comp Sci Jl Dipatiukur 112-114 Bandung 40134 Indonesia Japan Adv Inst Sci & Technol Sch Knowledge Sci 1-1 Asahidai Nomi Ishikawa Japan

ISBN: (纸本)9781665442077

This study develops an interactive 3-Dimensional Geographic information System (3D-GIS) for agriculture. GIS's ability to visualize geographic conditions is very crucial for agriculture. The purpose of this study was to explore the Unity3D to provide large-scale GIS data. This study has four stages. The first stage is data gathering, the second stage is data integration, the third stage is data visualization design, and the last stage is GIS interaction design. Unity3D can visualize the virtual environment. Unity3D also provides a rich set of libraries and assets for user interaction. However, building a GIS requires a projection / coordinate system. Mapbox extension can provide georeferencing services for Unity3D. Mapbox also makes it possible to overlay vector layers in the same way as GIS software. Utilizing a game engine for GIS development is expected to enrich GIS with more interactive content visualization techniques. With interactive maps, it is hoped that it will make it easier for farmers to understand the information presented on GIS. Furthermore, by utilizing the game engine in making GIS, it is expected that GIS will have a high level of usability.

关键词： Geographic information systems

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Social Media Island: Interactive User Profiling and information Diffusion Exploration with 3D Visual Metaphors

Social Media Island: Interactive User Profiling and Informat...

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Pacific (formerly Asia-Pacific APVIS) visualization Symposium

作者： Jinjing Jiang Yuheng Zhao Jun-Hsiang Yao Huiting Wang Xuexi Wang Lana Blue Chen Guo Xudong Li Siming Chen School of Data Science Fudan University Northwest University Xi’an James Madison University

ISBN: (数字)9798331505813

ISBN: (纸本)9798331505820

Understanding user profiling on social media poses significant challenges due to the intertwined complexities of network structures, user interactions, and the multi-dimensional nature of the data. To reduce visual clutter and offer complementary perspectives for engagingly exploring user profiling within these networks, we propose Social Media Island, an interactive 3D metaphoric visualization system. Our system uses 3D mountain metaphors to visualize user profiling, capturing user influence and activity, while tree metaphors visualize the information forwarding process. To support a flexible scope for users to explore in a more intriguing way, we design various interactions such as cutting the mountain to split out a subset with similarity to some extent for further exploration. By using these 3D visualizations with user interactions, Social Media Island facilitates immersion in the data, the fluid exploration of user influence, topic evolution, and the spread of information. The effectiveness of metaphors is evaluated by user studies, and that of the system is evaluated through two case studies.

关键词： visualization Three-dimensional displays Fluids Extended reality Semantics Data visualization Complex networks Complexity theory information diffusion Clutter

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Visually exploring a Collaborative Augmented Reality Taxonomy 25

Visually exploring a Collaborative Augmented Reality Taxonom...

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25th International conference information Visualisation (IV) - AI and Visual Analytics and Data Science

作者： Marques, Bernardo Araujo, Tiago Silva, Samuel Alves, Joao Dias, Paulo Santos, Beatriz Sousa Univ Aveiro IEETA DETI Aveiro Portugal Fed Univ Para PPGCC Belem Para Brazil

ISBN: (纸本)9781665438278

Augmented Reality (AR) has been explored with the objective to assist in scenarios of co-located or remote collaboration. To help understand how well collaborative work can be addressed with AR, it is important to foster harmonization of perspectives and create a common ground for systematization and discussion. In this vein, understand relationships among existing dimensions of collaboration, as well as identify research opportunities, is of paramount importance and thus tools that allow visually exploring information associated with Collaborative AR may be most valuable. In this paper, we present a first effort towards the creation of such an interactive visualization tool for exploration and analysis of collaborative AR research. It allows visualize data of selected papers organized according to a human-centered taxonomy on collaborative AR. In order to get insights into whether the structure was understood and if the representation was clear and efficient to use, we evaluated the proposed tool through a user study with 40 participants. Results suggest the tool has potential towards the creation of a shared understanding and identification of existing patterns, trends and opportunities within the field of collaborative AR.

关键词： visualization Tool User study Collaboration Taxonomy Augmented Reality Remote Collaboration

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Model-based Systems Engineering Papers Analysis based on Word Cloud visualization 16

Model-based Systems Engineering Papers Analysis based on Wor...

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16th Annual ieee International Systems conference (SysCon)

作者： Dong, Mengru Lu, Jinzhi Wang, Guoxin Zheng, Xiaochen Kiritsis, Dimitris Beijing Inst Technol Sch Mech Engn Beijing Peoples R China EPFL Ecole Polytech Fed Lausanne ICT4SM Lab Lausanne Switzerland

ISBN: (纸本)9781665439923

With the continuous improvement of system scale and complexity, model-based system engineering (MBSE) is of great importance in the practice of system engineering (SE). MBSE has been widely concerned in industry, especially in the field of complex equipment. At the same time, in academia, research articles about MBSE come into being and grow rapidly. In this paper, keywords and full-texts of 143 high quality articles related to MBSE field are extracted from relevant journals of ieee and INCOSE communities, and the research contents of MBSE field are visualized and analyzed by using a thirdparty Python WordCloud library. The research focuses on: (a) identifying related concepts of MBSE;(b) exploring research contents of MBSE;(c) analyzing three pillars of MBSE: modeling languages, methods and tools based on articles. The results show that MBSE plays an important role in realizing system architecture design and developing system architecture models by applying modeling technology to support system requirements, design, analysis and evaluation, verification and validation in the whole life cycle of product development. SysML and OPM are the most popular modeling languages and modeling methods in MBSE research field respectively. This paper provides a technical route reference for exploring the current research field of MBSE by using WordCloud text analysis which is helpful to predict the future research of MBSE.

关键词： MBSE Python WordCloud Modeling language Modeling method Modeling tool

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Time series anomaly detection based on TimeGAN and LSTM neural network 11

Time series anomaly detection based on TimeGAN and LSTM neur...

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11th International conference on Advanced Cloud and Big Data, CBD 2023

作者： Han, Weixin Ying, Wenhao Hu, Wenjun Sun, Zhongqiang Huzhou University School of Information Engineering Huzhou China Changshu Institute of Technology School of Computer Science and Engineering Changshu China Soochow University School of Computer Science and Technology Suzhou China

ISBN: (纸本)9798350345346

Anomaly detection is one of the most mature applications in time series data analysis. However, due to the nonlinearity of time step and sequence, it often leads to abnormal state of a specific step in time series. On the one hand, previous GAN studies focused on the method of generating sequence data, but did not pay attention to the autocorrelation of sequences. After all, a good model should learn not only the distribution of features across each timestamp, but also the underlying relationships between different points in time. On the other hand, a good generation model should ensure the generation of high-quality synthetic data. Most of the researches on this aspect are based on RCGAN, so the TimeGAN applied in this paper is also conducted on this basis, and the visualization analysis of data is combined with T-SNE to evaluate the quality of the model qualitatively. Then LSTM neural network is used to evaluate the influence of periodicity, noise, step size and other factors on the model. The results show that both methods can detect anomalies effectively, but TimeGAN is better than traditional RCGAN, which verifies the feasibility of this method. © 2023 ieee.

关键词： Anomaly detection

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