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检索条件"主题词=Human-centered computing-Visualization-Visualization techniques"

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Feral data visualization: A manifesto for cultivating livable worlds with visual sensemaking practices 1

Feral data visualization: A manifesto for cultivating livabl...

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IEEE Workshop on visualization for Social Good (VIS4Good)

作者： Ploehn, Cathryn Steenson, Molly Byrne, Daragh Carnegie Mellon Univ Pittsburgh PA 15213 USA

ISBN: (纸本)9781665413664

Feral data visualization is a posture offering theories and practices for designing data visualizations for collaborative survival in the midst of ecological and social turmoil. Feral data visualization demands an embrace of situated, embodied, vegetized, and feral forms of visual pattern making that might allow us to take up the task of building livability in our surrounding ecologies and communities. We demonstrate how these imperatives might unfold in practice through Tsuga Convictio, a research through design project. Feral data visualization calls designers to action, outlining three paths for crafting data visualizations for the feminine, vegetal, and embodied.

关键词： human-centered computing-visualization-visualization techniques human-centered computing-visualization-visualization design and evaluation methods

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Guiding Smombies: Augmenting Peripheral Vision with Low-Cost Glasses to Shift the Attention of Smartphone Users 17

Guiding Smombies: Augmenting Peripheral Vision with Low-Cost...

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17th IEEE International Symposium on Mixed and Augmented Reality (ISMAR)

作者： Gruenefeld, Uwe Stratmann, Tim Claudius Jung, Jinki Lee, Hyeopwoo Choi, Jeehye Nanda, Abhilasha Heuten, Wilko Carl von Ossietzky Univ Oldenburg Oldenburg Germany OFFIS Inst IT Oldenburg Germany KRISO Daejeon South Korea Korea Adv Inst Sci & Technol Daejeon South Korea

ISBN: (纸本)9781538675922

Over the past few years, playing Augmented Reality (AR) games on smartphones has steadily been gaining in popularity (e.g., Pokemon Go). However, playing these games while navigating traffic is highly dangerous and has led to many accidents in the past. In our work, we aim to augment peripheral vision of pedestrians with low-cost glasses to support them in critical traffic encounters. Therefore, we developed a lo-fi prototype with peripheral displays. We technically improved the prototype with the experience of five usability experts. Afterwards, we conducted an experiment on a treadmill to evaluate the effectiveness of collision warnings in our prototype. During the experiment, we compared three different light stimuli (instant, pulsing and moving) with regard to response time, error rate, and subjective feedback. Overall, we could show that all light stimuli were suitable for shifting the users' attention (100% correct). However, moving light resulted in significantly faster response times and was subjectively perceived best.

关键词： human-centered computing-visualization-visualization techniques human-centered computing-visualization-visualization design and evaluation methods

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Efficient Level-Crossing Probability Calculation for Gaussian Process Modeled Data 17

Efficient Level-Crossing Probability Calculation for Gaussia...

引用

17th Pacific visualization Conference (PacificVis)

作者： Li, Haoyu Michaud, Isaac J. Biswas, Ayan Shen, Han-Wei Ohio State Univ Columbus OH 43210 USA Los Alamos Natl Lab Los Alamos NM 87545 USA

ISBN: (纸本)9798350393811;9798350393804

Almost all scientific data have uncertainties originating from different sources. Gaussian process regression (GPR) models are a natural way to model data with Gaussian-distributed uncertainties. GPR also has the benefit of reducing I/O bandwidth and storage requirements for large scientific simulations. However, the reconstruction from the GPR models suffers from high computation complexity. To make the situation worse, classic approaches for visualizing the data uncertainties, like probabilistic marching cubes, are also computationally very expensive, especially for data of high resolutions. In this paper, we accelerate the level-crossing probability calculation efficiency on GPR models by subdividing the data spatially into a hierarchical data structure and only reconstructing values adaptively in the regions that have a non-zero probability. For each region, leveraging the known GPR kernel and the saved data observations, we propose a novel approach to efficiently calculate an upper bound for the level-crossing probability inside the region and use this upper bound to make the subdivision and reconstruction decisions. We demonstrate that our value occurrence probability estimation is accurate with a low computation cost by experiments that calculate the level-crossing probability fields on different datasets.

关键词： human-centered computing-visualization-visualization techniques human-centered computing-visualization-visualization application domains-Scientific visualization

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Effects of Hybrid and Synthetic Social Gaze in Avatar-Mediated Interactions 17

Effects of Hybrid and Synthetic Social Gaze in Avatar-Mediat...

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17th IEEE International Symposium on Mixed and Augmented Reality (ISMAR)

作者： Roth, Daniel Kullmann, Peter Bente, Gary Gall, Dominik Latoschik, Marc Erich Univ Wurzburg HCI Grp Wurzburg Germany Michigan State Univ E Lansing MI 48824 USA

ISBN: (纸本)9781538675922

human gaze is a crucial element in social interactions and therefore an important topic for social Augmented, Mixed, and Virtual Reality (AR, MR, VR) applications. In this paper we systematically compare four modes of gaze transmission: (1) natural gaze, (2) hybrid gaze, which combines natural gaze transmission with a social gaze model, (3) synthesized gaze, which combines a random gaze transmission with a social gaze model, and (4) purely random gaze. Investigating dyadic interactions, results show a linear trend for the perception of virtual rapport, trust, and interpersonal attraction, suggesting that these measures increase with higher naturalness and social adequateness of the transmission mode. We further investigated the perception of realism as well as the resulting gaze behavior of the avatars and the human participants. We discuss these results and their implications.

关键词： human-centered computing-visualization-visualization techniques

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Explainable visualization of Collaborative Vandal Behaviors in Wikipedia

Explainable Visualization of Collaborative Vandal Behaviors ...

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IEEE Symposium on visualization for Cyber Security (VizSec)

作者： Subramanian, Siva Sandeep Pushparaj, Parab Liu, Zerong Lu, Aidong Univ N Carolina Dept Comp Sci Charlotte NC 28223 USA

ISBN: (纸本)9781728138763

Online social networks are prone to be targeted by various frauds and attacks, which are difficult to detect due to their complexity and variations. The challenge is to make sense of all information with suitable exploration tools for different groups of users. This project focuses on an explainable visualization approach to study collaborative behaviors of vandal users on Wikipedia. Our approach creates visualization with commonly used techniques from cartography and statistical graphics that are familiar to the general public for effectiveness and explainability. We have built a large-scale visualization system which supports an illustrative interface with multiple data query, filtering, analysis, and interactive exploration functions. Examples and case studies are provided to demonstrate that our approach can be used effectively for a set of Wikipedia behavior analysis tasks.

关键词： human-centered computing-visualization-visualization techniques human-centered computing-visualization-visualization design and evaluation methods

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Who Did What When? Discovering Complex Historical Interrelations in Immersive Virtual Reality 22

Who Did What When? Discovering Complex Historical Interrelat...

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22nd IEEE International Symposium on Mixed and Augmented Reality (ISMAR)

作者： Derksen, Melanie Becker, Julia Elahi, Mohammad Fazleh Maier, Angelika Maile, Marius Patzold, Ingo Penningroth, Jonas Reglin, Bettina Rothganger, Markus Cimiano, Philipp Schubert, Erich Schwandt, Silke Kuhlen, Torsten Botsch, Mario Weisskert, Tim TU Dortmund Univ Dortmund Germany Bielefeld Univ Bielefeld Germany Rhein Westfal TH Aachen Aachen Germany

ISBN: (纸本)9798350328387

Traditional digital tools for exploring historical data mostly rely on conventional 2D visualizations, which often cannot reveal all relevant interrelationships between historical fragments (e.g., persons or events). In this paper, we present a novel interactive exploration tool for historical data in VR, which represents fragments as spheres in a 3D environment and arranges them around the user based on their temporal, geo, categorical and semantic similarity. Quantitative and qualitative results from a user study with 29 participants revealed that most participants considered the virtual space and the abstract fragment representation well-suited to explore historical data and to discover complex interrelationships. These results were particularly underlined by high usability scores in terms of attractiveness, stimulation, and novelty, while researching historical facts with our system did not impose unexpectedly high task loads. Additionally, the insights from our post-study interviews provided valuable suggestions for future developments to further expand the possibilities of our system.

关键词： human-centered computing-visualization-visualization techniques human-centered computing-visualization-visualization systems and tools

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Spatial Perception in Immersive visualization: A Study and Findings 21

Spatial Perception in Immersive Visualization: A Study and F...

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21st IEEE International Symposium on Mixed and Augmented Reality (ISMAR)

作者： Hu, Ping Boorboor, Saeed Jadhav, Shreeraj Marino, Joseph Mirhosseini, Seyedkoosha Kaufman, Arie E. SUNY Stony Brook Dept Comp Sci Stony Brook NY 11794 USA

ISBN: (数字)9781665453653

ISBN: (纸本)9781665453653

Spatial information understanding is fundamental to visual perception in Metaverse. Beyond the stereoscopic visual cues naturally carried in Metaverse, the human vision system may use other auxiliary information provided by any shadow casting or motion parallax available to perceive the 3D virtual world. However, the combined use of shadows and motion parallax to improve 3D perception have not been fully studied. In particular, when visualizing the combination of volumetric data and associated skeleton models in VR, how to provide the auxiliary visual cues to enhance observers' perception of the structural information is a key yet underexplored topic. This problem is particularly challenging for visualization of data in biomedical research. In this paper, we focus on immersive analytics in neurobiology where the structural information includes the relative position of objects (nuclei / cell body) in the 3D space and the spatial measurement and connectivity of segments (axons and dendrites) in a model. We present a perceptual experiment designed for understanding the consequence of shadow casting and motion parallax in the neuron structures observation and the feedback and analysis of the experiment are reported and discussed.

关键词： human-centered computing-visualization-visualization techniques human-centered computing-visualization-visualization design and evaluation methods

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Collaborative manual tasks in distributed virtual environments 21

Collaborative manual tasks in distributed virtual environmen...

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21st IEEE International Symposium on Mixed and Augmented Reality (ISMAR)

作者： Keppler, Sebastian Israel, Johann Habakuk Wiese, Eva Univ Appl Sci Berlin HTW Berlin Germany Tech Univ Berlin TU Berlin Berlin Germany

ISBN: (数字)9781665453653

ISBN: (纸本)9781665453653

We often encounter many situations where we manually interact with others collaboratively. This allows us to solve tasks that we would otherwise not be able to do on our own. Handover tasks are an everyday interaction that we perform with others without thinking about it. However, these tasks are complex coordinated actions between two actors based on sensory feedback that are performed in a very short time. In this work, an overview of handover tasks will be provided from a perspective of the interdisciplinary fields of human-robot interaction (HRI), neuroscience, cognitive science and human-computer interaction (HCI). For this purpose, the structure and process of a handover interaction will be examined and the current state of research will be reflected. The ability to represent realistic manual interactions in an immersive collaborative scenario enables the simulation and training of complex workflows in a realistic context. The study design presented in this paper is intended to improve the understanding and design of handover interaction techniques in virtual environments. Furthermore possibilities to substitute missing haptic feedback with other sensory stimuli will be evaluated.

关键词： human-centered computing-visualization-visualization techniques human-centered computing-visualization-visualization design and evaluation methods

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Evaluating Animated Transitions between Contiguous visualizations for Streaming Big Data

Evaluating Animated Transitions between Contiguous Visualiza...

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IEEE visualization Conference (VIS)

作者： Pereira, Tiago Moreira, Joao Mendes, Daniel Goncalves, Daniel Univ Lisbon Inst Super Tecn INESC ID Lisboa Lisbon Portugal Univ Porto INESC TEC Fac Engn Porto Portugal

ISBN: (纸本)9781728180144

An approach to analyzing Streaming Big Data as it comes in while maintaining the proper context of past events is to employ contiguous visualizations with an increasingly aggressive aggregation degree. This allows for the most recent data to be displayed in detail, while older data is shown in an aggregated form according to how long ago it was received. However, the transitions applied between visualizations with different aggregations must not compromise the understandability of the data flow. Particularly, new data should be perceived considering the context established by older data, and the visualizations should not be perceived as independent or unconnected. In this paper, we present the first study on transitions between two contiguous visualizations, focusing on time series data. We developed several animated transitions between a scatter plot, where all data points are individually represented as they arrive, and other visualizations where data is displayed in an aggregated form. We then conducted a user evaluation to assess the most appealing and effective transitions that allow for the best comprehension of the displayed data for each visualization pair.

关键词： human-centered computing-visualization-visualization techniques human-centered computing-visualization-Empirical Studies in visualization

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Comparing techniques for Visualizing Moving Out-of-View Objects in Head-mounted Virtual Reality 26

Comparing Techniques for Visualizing Moving Out-of-View Obje...

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26th IEEE Conference on Virtual Reality and 3D User Interfaces (VR)

作者： Gruenefeld, Uwe Koethe, Ilja Lange, Daniel Weiss, Sebastian Heuten, Wilko Carl von Ossietzky Univ Oldenburg Oldenburg Germany OFFIS Inst IT Oldenburg Germany

ISBN: (纸本)9781728113777

Current head-mounted displays (HMDs) have a limited field-ofview (FOV). A limited FOV further decreases the already restricted human visual range and amplifies the problem of objects receding from view (e.g., opponents in computer games). However, there is no previous work that investigates how to best perceive moving out-of-view objects on head-mounted displays. In this paper, we compare two visualization approaches: (1) Overview+detail, with 3D Radar, and (2) Focus+context, with EyeSee360, in a user study to evaluate their performances for visualizing moving out-of-view objects. We found that using 3D Radar resulted in a significantly lower movement estimation error and higher usability, measured by the system usability scale. 3D Radar was also preferred by 13 out of 15 participants for visualization of moving out-of-view objects.

关键词： human-centered computing-visualization-visualization techniques human-centered computing-human computer interaction (HCI)-Empirical studies in HCI

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