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18th International Conference on Tangible, Embedded, and Embodied Interaction, TEI 2024

作者： Ullmer, Brygg Dai, Sida De Siqueira, Alexandre Gomes McLendon, Millon Filipiak, Breanna Shafiee, Laila Newman, Winifred Elysse Konkel, Miriam K. Tangible Visualization Group Clemson University United States Virtual Environments Research Group University of Florida United States Computer Science Division School of Computing Clemson University United States Institute for Intelligent Materials Systems and Environments Clemson University United States Dept. of Genetics and Biochemistry Center for Human Genetics Clemson University United States

ISBN: (纸本)9798400704024

We describe iterations on the design of a hexagonal token and constraint tangible and cyberphysical interface. Our system has been co-designed both for use in tangible, embedded, embodied interaction and extended reality classroom contexts, and within broader applied generalizations. We survey some of the related literature in hexagonal, rectangular, and triangular tangible interfaces. We express a design space characterizing several aspects of these prior systems;and apply these to a number of additional virtual and physical iterations. We accompany our text with 3D printable, circuit board, and virtual models for a number of these interactors, usable in both tangible and purely virtual forms, including versions engaging four different embedded computing platforms (Raspberry Pi Zero, Raspberry Pi Pico, Adafruit Circuit Playground, and Blinks). We discuss experiences from use of these in classroom settings, and steps toward broader applications. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： 3D printing

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Temporal continuity of visual attention for future gaze prediction in immersive virtual reality

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virtual Reality & Intelligent Hardware 2020年第2期2卷 142-152页

作者： Zhiming HU Sheng LI Meng GAI Department of Computer Science and Technology School of Electronic Engineering and Computer SciencePeking UniversityBeijing 100871China Beijing Engineering Technology Research Center of Virtual Simulation and Visualization Peking UniversityBeijing 100871China

Background Eye tracking te chnology is receiving increased attention in the field of virtual ***,future gaze prediction is crucial in pre-computation for many applications such as gaze-contingent rendering,advertisement placement,and content-based *** explore future gaze prediction,it is necessary to analyze the temporal continuity of visual attention in immersive virtual *** In this paper,the concept of temporal continuity of visual attention is ***,an autocorrelation function method is proposed to evaluate the temporal ***,the temporal continuity is analyzed in both free-viewing and task-oriented *** Specifically,in free-viewing conditions,the analysis of a free-viewing gaze dataset indicates that the temporal continuity performs well only within a short time interval.A task-oriented game scene condition was created and conducted to collect users'gaze *** analysis of the collected gaze data finds the temporal continuity has a similar performance with that of the free-viewing *** continuity can be applied to future gaze prediction and if it is good,users'current gaze positions can be directly utilized to predict their gaze positions in the *** The current gaze's future prediction performances are further evaluated in both free-viewing and task-oriented conditions and discover that the current gaze can be efficiently applied to the task of short-term future gaze *** task of long-term gaze prediction still remains to be explored.

关键词： Temporal continuity Visual attention Autocorrelation analysis Gaze prediction virtual reality

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RGB-D Camera Network Calibration and Streaming for 3D Telepresence in Large Environment

RGB-D Camera Network Calibration and Streaming for 3D Telepr...

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IEEE International Conference on Multimedia Big Data (BigMM)

作者： Po-Chang Su Ju Shen Muhammad Usman Rafique Center for Visualization and Virtual Environment University of Kentucky Lexington Kentucky Department of Computer Science University of Dayton Dayton Ohio Center for Visualization and Virtual Environments University of Kentucky Lexington Kentucky

ISBN: (纸本)9781509065509

With the advance of multimedia technology, traditional remote communication applications (e.g. video chat) may not satisfy the increasing demand for effective interactivity due to the lack of realistic experience of being physically present. Telepresence is a new form of communication that aims to strengthen the connection between people by creating more immersive and interactive environments. However existing telepresence systems often suffer from limited viewing space or failing to render realistic 3D contents on the display. In this paper, we present a novel system that can improve the interactive experience among remote users with dynamically generated virtual 3D environments. To support wide view rendering, an automated calibration system is developed for RGB-D camera network that is scalable to capture and reconstruct large environments. Our proposed client-server architecture is capable of transmitting and processing large volume of RGB-D data across the the network in real-time. virtual 3D views are automatically synthesized by seamlessly fusing multiple video streams acquired by different cameras. Our experimental results demonstrate better visual effects that can be applied to existing telepresence systems for more motivating and engaging remote applications.

关键词： Cameras Three-dimensional displays Calibration Streaming media Rendering (computer graphics) Real-time systems virtual environments

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Structured brainstorming helps home network managers transcend technical language barriers to express their needs

Structured brainstorming helps home network managers transce...

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Human Factors and Ergonomics Society 2016 International Annual Meeting, HFES 2016

作者： Emery, Cathy D. Sublette, Michelle Melody Carswell, C. Calvert, K.L. University of Kentucky Department of Psychology UK Center for Visualization and Virtual Environments United States Department of Computer Science UK Center for Visualization and Virtual Environments United States

Managing home networks is fraught with usability challenges due, in part, to the adoption of conventions, tools, and terminology meant for professional network administration. Eliciting user needs is challenging because of the gulf between the language used by network professionals and the less precise, unstandardized terms used by home administrators. Here we modify a traditional Structured Brainstorming (SB) technique to help circumvent these thorny communication problems. We describe our specific implementation and provide a sample of the information obtained from our SB sessions. Copyright 2016 by Human Factors and Ergonomics Society.

关键词： Home networks

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Does an abstract weld pool visualization help novice welders assess the performance of a weldbot?

Does an abstract weld pool visualization help novice welders...

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Human Factors and Ergonomics Society 2016 International Annual Meeting, HFES 2016

作者： Kent, Travis M. Fu, Bo Walls, Brittany D. Seidelman, Will Sublette, M.A. Lee, Michael Melody Carswell, C. Yang, Ruigang University of Kentucky Department of Psychology Center for Visualization and Virtual Environments University of Kentucky LexingtonKY United States Department of Computer Science Center for Visualization and Virtual Environments University of Kentucky LexingtonKY United States

The domain of welding recently has seen the introduction of numerous potential aids to the practitioners who monitor welding robots ("welbots") or perform welds themselves. One such aid is the visual augmentation or visualization of particular weld pool parameters. The purpose of this study was to examine the potential effects of a simple, geometric weld pool visualization on the ability of novice welders to relate what they witnessed in welding videos to the completed welds on physically-present pipes (a situation awareness outcome). In addition to participants' accuracies on the situation awareness measure, perceived usability and subjective workload were also assessed. There was no reliable benefit for the augmented condition compared to the raw, unedited video condition. The results may indicate a task specificity for the type of augmentation utilized or possible limitations of the current rendering methods. Copyright 2016 by Human Factors and Ergonomics Society.

关键词： Welds

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Bayesian deep learning for exoplanet atmospheric retrieval

arXiv

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arXiv 2018年

作者： Soboczenski, Frank Himes, Michael D. O'Beirne, Molly D. Zorzan, Simone Baydin, Atılım Güneş Cobb, Adam D. Gal, Yarin Angerhausen, Daniel Mascaro, Massimo Arney, Giada N. Domagal-Goldman, Shawn D. School of Population Health and Environmental Sciences King's College London Planetary Sciences Group Department of Physics University of Central Florida Department of Geology and Environmental Science University of Pittsburgh ERIN Department Luxembourg Institute of Science and Technology Department of Engineering Science University of Oxford Department of Computer Science University of Oxford Center for Space and Habitability University of Bern OCTO Applied AI Google Cloud Virtual Planetary Laboratory Team NASA Astrobiology Institute Planetary Systems Laboratory NASA Goddard Space Flight Center Planetary Environments Laboratory NASA Goddard Space Flight Center

Over the past decade, the study of extrasolar planets has evolved rapidly from plain detection and identification to comprehensive categorization and characterization of exoplanet systems and their atmospheres. Atmospheric retrieval, the inverse modeling technique used to determine an exoplanetary atmosphere's temperature structure and composition from an observed spectrum, is both time-consuming and compute-intensive, requiring complex algorithms that compare thousands to millions of atmospheric models to the observational data to find the most probable values and associated uncertainties for each model parameter [12]. For rocky, terrestrial planets, the retrieved atmospheric composition can give insight into the surface fluxes of gaseous species necessary to maintain the stability of that atmosphere, which may in turn provide insight into the geological and/or biological processes active on the planet [16]. These atmospheres contain many molecules, some of them biosignatures, spectral fingerprints indicative of biological activity, which will become observable with the next generation of telescopes [5]. Runtimes of traditional retrieval models scale with the number of model parameters, so as more molecular species are considered, runtimes can become prohibitively long. Recent advances in machine learning (ML) and computer vision [11, 8] offer new ways to reduce the time to perform a retrieval by orders of magnitude [13, 23], given a sufficient data set to train with. Here we present an ML-based retrieval framework called Intelligent exoplaNet Atmospheric RetrievAl (INARA) that consists of a Bayesian deep learning model for retrieval and a data set of 3,000,000 synthetic rocky exoplanetary spectra generated using the NASA Planetary Spectrum Generator (PSG) [20]. Our work represents the first ML retrieval model for rocky, terrestrial exoplanets and the first synthetic data set of terrestrial spectra generated at this *** Codes 85A20, 68T05 Copyright © 2018, Th

关键词： Extrasolar planets

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Does an Abstract Weld Pool visualization Help Novice Welders Assess the Performance of a Weldbot?

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Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2016年第1期60卷 1309 - 1313页

作者： Travis M. Kent Bo Fu Brittany D. Walls Will Seidelman M.A. Sublette Michael Lee C. Melody Carswell Ruigang Yang University of Kentucky Departments of Psychology and the Center for Visualization and Virtual Environments University of Kentucky Lexington KY Computer Science and the Center for Visualization and Virtual Environments University of Kentucky Lexington KY

The domain of welding recently has seen the introduction of numerous potential aids to the practitioners who monitor welding robots (“welbots”) or perform welds themselves. One such aid is the visual augmentation or visualization of particular weld pool parameters. The purpose of this study was to examine the potential effects of a simple, geometric weld pool visualization on the ability of novice welders to relate what they witnessed in welding videos to the completed welds on physically-present pipes (a situation awareness outcome). In addition to participants’ accuracies on the situation awareness measure, perceived usability and subjective workload were also assessed. There was no reliable benefit for the augmented condition compared to the raw, unedited video condition. The results may indicate a task specificity for the type of augmentation utilized or possible limitations of the current rendering methods.

关键词：

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Preface: Message from the Program Chairs and Guest Editors

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IEEE Transactions on visualization and computer Graphics 2017年第4期23卷 vi页

作者： Steinicke, Frank Mohler, Betty Babu, Sabarish V. Interrante, Victoria Department of Informatics University of Hamburg Germany Virtual Environments Research Group Max Planck Instutute for Biological Cybernetics Tuebingen Germany Division of Human-Centered Computing School of Computing Clemson University United States Department of Computer Science and Engineering University of Minnesota United States Center for Cognitive Sciences United States

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Development of a hybrid reality display for welders through applied cognitive task analysis 58

Development of a hybrid reality display for welders through ...

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58th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2014

作者： Seidelman, Will Lee, Michael Kent, Travis M. Carswell, C. Melody Fu, Bo Yang, Ruigang University of Kentucky Department of Psychology United States University of Kentucky Department of Computer Science United States University of Kentucky Center for Visualizations and Virtual Environments United States

ISBN: (纸本)9780945289456

With the current trend toward semi-autonomous welding systems, the typical duties of a skilled welder are likely to transition from that of manual operator to a more supervisory role. The shifting demands on welders necessitates novel welding displays to support an increased variety of tasks. The current work utilizes applied cognitive task analysis to identify the needs of expert welders, specifically in regards to the identification of important sensory cues useful when monitoring the welding process in real-time. Results are presented in a cognitive demands table in a manner intended to be useful to multidisciplinary teams engaged in the development of future welding platforms.

关键词： Welding

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Further explorations of the "white space" bias in users' anticipation of task workload

Further explorations of the "white space" bias in users' ant...

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57th Human Factors and Ergonomics Society Annual Meeting - 2013, HFES 2013

作者： Sublette, M. Carswell, C.M. Seidelman, W. Lee, M. Seales, W.B. Departments of Psychology University of Kentucky United States Departments of Computer Science University of Kentucky United States Center for Visualization and Virtual Environments University of Kentucky United States

ISBN: (纸本)9780945289432

As more designers allow users to customize the look and feel of interfaces, users will be required to recognize the implications of their choices on their future performance, comfort, and enjoyment. Understanding the limits of people's predictive capabilities may be an important component in identifying why people choose one product over another based on ease of use or why people have difficulties identifying tasks that can be performed together. The purpose of this study is to further explore users' biases for utilizing the amount of white space in the stimulus as a predictor of task difficulty, to validate discrepancies between predicted task difficulty and performance outcomes found in previous research and the human factors literature, and to identify task-specific strategies that are used to anticipate task difficulty. The study uses the NASA Task Load Index (NASA-TLX) in prospective difficulty judgments for these three types of tasks: 1) a stimulus-response compatibility task, 2) a target acquisition task and 3) a perceptual search task. In general, participants predicted lower task demand for designs with more intervening white space. For the visual search task, these estimates of demand were consistent with participants' actual performance reaction times. However, for the stove design and Fitts' tasks participants rated tasks that were likely to result in more errors as less challenging suggesting that the type of task is an important factor in participants' abilities to predict relative task difficulty. Copyright 2013 by Human Factors and Ergonomics Society, Inc.

关键词： NASA

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