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检索条件"任意字段=International Conference on Computer Graphics, Imaging and Visualization"

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LifeTrack: decades of EHR data in a single view 27

LifeTrack: decades of EHR data in a single view

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27th international conference on Information Visualisation (IV) / 19th international conference computer graphics, imaging and visualization (CGiV)

作者： Siirtola, Harri Raisamo, Roope Reeve, Mary Pat Gracia-Tabuenca, Javier Llorens, Vincent Padmanabhuni, Shanmukha Sampath Tampere Univ ITC Fac TAUCHI Res Ctr Tampere Finland Univ Helsinki Finnish Inst Mol Med FIMM Helsinki Finland

ISBN: (纸本)9798350341614

There are situations where we need to understand a person's health register data, get an overview of it and inspect the details of interest, preferably in a short period of time. Typical situations are a doctor seeing a patient for the very first time, or a researcher trying to understand what makes a person an outlier in a patient cohort. We have developed a visualization tool, called LifeTrack, that will show a person's whole health register history in a single view. The structure of the LifeTrack data view is based on concepts familiar to the target audience, and allows one to see both the overview and details of the data.

关键词： health information management data visualization

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visualization of the repetitive practice of dance motion: Case study with multiple genres of dance 27

Visualization of the repetitive practice of dance motion: Ca...

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27th international conference on Information Visualisation (IV) / 19th international conference computer graphics, imaging and visualization (CGiV)

作者： Kawanishi, Mami Tsuchida, Shuhei Itoh, Takayuki Ochanomizu Univ Tokyo Japan

ISBN: (纸本)9798350341614

With the enhancement of relatively inexpensive human motion capture technology using cameras and infrared sensors, the measurement of human body motion has been easier and its applications have expanded dramatically. We are using this technology to develop a visualization system for the assistance of dance skill improvement by visualizing differences and changes in the motions of novice dancers while theur repetitive practice of the same dance. This system applies a body size correction between the dancer and the instructor, a time correction that aligns the timing of the motions, and a spatial correction that aligns the dancer's position and body orientation. The system then applies a clustering process is to the body parts, and visualizes the clustering results. Users can then select multiple arbitrary motions and animate them to check the differences and changes in the dancer's motions. This paper firstly presents the processing flow and functions of the visualization system, and then introduces the results of the motion data of three novice dancers in three different dance genres to verify the effectiveness of this method.

关键词： visualization Dance Motion capture

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One Dataset - Three Stories: Data Storytelling for Climate Change Awareness 27

One Dataset - Three Stories: Data Storytelling for Climate C...

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27th international conference on Information Visualisation (IV) / 19th international conference computer graphics, imaging and visualization (CGiV)

作者： Pardo, Javier Lloret Guirlet, Marielle Alwash, Amir de Vevey, Vincent Blanco, David Nogueiras Choquard, Laetizia Sabatini Schneider, Rene HESSO Haute Ecole Gest Informat Sci Geneva Switzerland HESSO Haute Ecole dArt & Design Visual Commun Geneva Switzerland

ISBN: (纸本)9798350341614

Data stories are a powerful way to present information and data in a way that is easy to understand and engage with. They consist of data, the visual form, and the narrative component. By combining these elements effectively, data stories can drive behavioral change and lead to a call to action. In two projects dedicated to data stories, we developed an approach that separates the data from possible narratives and adapts it to three audiences of different expertise and age, being inspired by the medieval philosopher Averroes. The method can help to take full advantage of data storytelling and describe complex data in a meaningful way that compels people to act on it.

关键词： data stories data visualization Averroes stepwise vulgarization data driven decision making

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Lossless Interpretable Glyphs for Visual Knowledge Discovery in High-Dimensional Data 27

Lossless Interpretable Glyphs for Visual Knowledge Discovery...

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27th international conference on Information Visualisation (IV) / 19th international conference computer graphics, imaging and visualization (CGiV)

作者： Cutlip, Nicholas Kovalerchuk, Boris Cent Washington Univ Dept Comp Sci Ellensburg WA 98926 USA

ISBN: (纸本)9798350341614

The expansion of the use of a machine learning (ML) technology in multiple domains heavily depends on acceptance of these models by end users and their abilities to understand the patterns discovered by machine learning algorithms. The simplicity and understandability of those patterns by the domain expert is critical for success of such ML explorations. This paper proposes a method for designing lossless compact and interpretable machine learning visual patterns to be easily captured and remembered by the domain experts due to their compactness and simplicity. This glyph approach is illustrated with a "bird" glyph. This glyph is a combination of Stick Figures and a type of General Line Coordinates known as Shifted Paired Coordinates. The efficiency of the approach is demonstrated on several benchmark machine learning data sets.

关键词： Interpretable Machine learning classification glyph lossless visualization high dimensional data general line coordinates. Shifter Paired Coordinates Stick figures

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Using Autoencoders to Visualize Big Environmental Audio 27

Using Autoencoders to Visualize Big Environmental Audio

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27th international conference on Information Visualisation (IV) / 19th international conference computer graphics, imaging and visualization (CGiV)

作者： Rowe, Benjamin Eichinski, Philip Zhang, Jinglan Roe, Paul Queensland Univ Technol Brisbane Qld Australia

ISBN: (纸本)9798350341614

Traditional ecological survey methods are expensive and time-consuming as they typically involve a domain expert in the field. As a result of this, continuous audio recordings are playing an ever more critical role in conservation and biodiversity monitoring. However, listening to these recordings is often infeasible, as they can be thousands of hours long. The knowledge of domain experts can be efficiently leveraged using visualization. Traditionally, spectrograms are used to visualize audio data. However, there is a limit to the duration of audio that can fit on a computer screen as a spectrogram. Several techniques have been adapted to overcome this. Each of these techniques has its own set of advantages and disadvantages that make it ideal for some situations but unsuitable for others. In this paper, we propose a novel visualization based on embeddings produced by Frequency Preserving Autoencoders. We evaluate by visually comparing with traditional spectrogram and spectral index false-color spectrogram, using human-generated annotations as a baseline. We find that calls from some species are more consistently visible in our autoencoder-based visualization, while others are more clearly visible in the alternative visualizations. This novel visualization presents a new opportunity to assist ecologists in identifying bird calls in long-duration audio, if calls are difficult to identify using other methods.

关键词： audio autoencoders deep learning ecological audio machine learning soundscape ecology spectrogram visualization

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Analyzing Spatio-Temporal Correlations with User-Oriented Guidance - An Interactive visualization Approach for Demand-Oriented Limited Service Offers 27

Analyzing Spatio-Temporal Correlations with User-Oriented Gu...

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27th international conference on Information Visualisation (IV) / 19th international conference computer graphics, imaging and visualization (CGiV)

作者： Rolwes, Alexander Stockemer, Julian Boehm, Klaus Mainz Univ Appl Sci Inst Spatial Informat & Surveying Technol i3mainz Mainz Germany

ISBN: (纸本)9798350341614

GeoVisual Analytics often uses a wide range of visualization techniques in combination with human interactions. However, in order to improve urban planning decisions and expand the knowledge base about spatio-temporal correlations in cities, we identify high and sometimes difficult-to-overcome data and visualization complexity. Therefore, users need targeted support to reduce this complexity and understand complex multidimensional data. This paper proposes an interactive 3D visualization approach for analyzing spatiotemporal correlations. Effective visual explanations in user-oriented guidance with storytelling elements support this technique. We adapt the approach of flow maps to visualize both resulting correlations and the underlying density of possible destinations from an existing geoanalytical process. Our interactive step-by-step guidance with four narratives aims to create a balance between the author and the user. We evaluated our prototype with various domain experts. The evaluation confirms our approach and improves users' understanding of data and spatio-temporal correlations in urban areas.

关键词： GeoVisual Analytics Guidance Storytelling Spatio-Temporal visualization Human-computer Interaction Urban Planning

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visualization of Swiping Motion of Competitive Karuta using 3D Bone Display 27

Visualization of Swiping Motion of Competitive Karuta using ...

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27th international conference on Information Visualisation (IV) / 19th international conference computer graphics, imaging and visualization (CGiV)

作者： Kitagawa, Risa Itoh, Takayuki Ochanomizu Univ Tokyo Japan

ISBN: (纸本)9798350341614

Each player of competitive Karuta has a unique posture and a style of swiping the cards, which are important factors in winning a game that requires the swift acquisition of all 50 cards. It is essential to analyze the characteristics of a player's posture in order to achieve the swift acquisition. While previous studies on the analysis of posture of competitive Karuta required special devices to be attached to the body for measuring brain activity or analyzing wrist acceleration to determine the speed of a player. Such approaches were problematic since they may interfere with the natural movement of the players. To address this issue, we are developing a visualization system that displays the three-dimensional skeletal movements of multiple players in response to a read the poetry of Karuta. We utilize skeletal information extracted from videos using Mediapipe, developed by Google, to compare and analyze the movements of different players. This paper presents the results of our analysis, which compared the swiping movements of multiple players using our proposed system.

关键词： Visualizatlon Competitive Karuta Motion capture

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Exploring the Design of visualizations of Personal Online Data Based on Users' Mental Models 27

Exploring the Design of Visualizations of Personal Online Da...

引用

27th international conference on Information Visualisation (IV) / 19th international conference computer graphics, imaging and visualization (CGiV)

作者： Dutz, Marija Starcevic, Natasa Reynolds, Steven Lamarr Kohlhammer, Joern Fraunhofer IGD Darmstadt Germany Tech Univ Darmstadt Darmstadt Germany

ISBN: (纸本)9798350341614

As data becomes more and more pervasive in our daily lives, supporting people in getting visual insights into their data is an important challenge to address. However, as data visualization literacy is still low, a gap between designers' mental model and users is not uncommon. To best pick up users where they are, we propose to include the data mental models of users into the design process. In this paper, we present our investigations in this direction by incorporating user sketches of their idea about their personal data stored at online services as a basis of our designs. We present our design study on personal data visualization interfaces resulting in a set of user sketches for three types of user groups and in three visualization interfaces. Finally, we reflect on our learnings and identify pitfalls to support other researchers in applying similar approaches.

关键词： information visualization privacy design study

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CLARIFYING DEFINITIONS: A SCOPING REVIEW OF DATA PHYSICALIZATION IN HUMAN-computer INTERACTION 18

CLARIFYING DEFINITIONS: A SCOPING REVIEW OF DATA PHYSICALIZA...

引用

18th international conference on Interfaces and Human computer Interaction 2024, IHCI 2024, the 17th international conference on Game and Entertainment Technologies 2024, GET 2024 and the 18th international conference on computer graphics, visualization, computer Vision and Image Processing 2024, CGVCVIP 2024, Part of the 18th Multi conference on computer Science and Information Systems 2024, MCCSIS 2024

作者： Burzio, Giorgia Ferraro, Venere Department of Design Politecnico di Milano Via Durando 10 Milan Italy

ISBN: (纸本)9789898704580

This paper presents a targeted reflection on the evolving research area of Data Physicalization (DP) within the Human-computer Interaction (HCI) domain. In recent years substantial works have been done to define this relevant research area and to address its opportunities and challenges. Nonetheless, literature shows that there is not an unequivocal agreement on a definition of DP, with scholars proposing closely related areas that approach the "physicalization" of data in varied ways. This work aims to clarify the many definitions appearing in literature. Authors chose to perform a scoping review to select, compare, and classify DP definitions. The proposed map classifies the definitions progressively, according to the ways data is integrated into the physical system or object: data rendered, data encoded, and data embodied. Finally, this work suggests an extended definition for DP including the dimensions of embodiment and dynamicity, to be further supported by empirical validation and through user-centered design experimentations. © 2024 Interfaces and Human computer Interaction. All Rights Reserved.

关键词： Data visualization

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VIDEO-BASED PIANO PERFORMANCE EVALUATION VIA DYNAMIC TIME WARPING (DTW) 18

VIDEO-BASED PIANO PERFORMANCE EVALUATION VIA DYNAMIC TIME WA...

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作者： Marcell, Vincentius Yang, Chuan-Kai National Taiwan University of Science and Technology No. 43 Sec. 4 keelung Rd. Taipei Taiwan

ISBN: (纸本)9789898704580

This paper introduces a novel approach for assessing piano performance through video analysis using Dynamic Time Warping (DTW). Traditional methods of evaluating piano playing often rely on auditory cues or sheet music, neglecting the visual aspects of technique and expression. Our proposed methodology leverages computer vision techniques to analyze pianists' performances captured in video format. The key innovation lies in the application of DTW, a powerful algorithm for measuring temporal variations between sequences, to align and compare the extracted motion features from piano performances. © 2024 Interfaces and Human computer Interaction. All Rights Reserved.

关键词： computer vision

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