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Invitation to IEEE VIS 2020 TREX Workshop, Sunday Oct. 25 12 - 3:30 pm (US Mountain Time)
by Nourani,Mahsan 19 Oct '20

19 Oct '20

Dear colleagues, Please save the date: Sunday, October 25, 12:00 pm to 3:30 pm (US Mountain Time) We would like to invite you to *virtually* attend our first workshop on TRust and EXpertise in Visual Analytics (TREX VIS 2020) that will take place in conjunction with IEEE VIS 2020. The workshop is focused on human-centered concerns, challenges, and considerations---such as trust, domain expertise, cognitive biases, and algorithmic transparency---with AI-powered visualization systems (especially visual analytics tools). Please help us spread the word to anyone who might be interested. Aside from the amazing papers that got accepted and will be presented, we have three amazing invited speakers that will present timely and interesting talks: - Steven Franconeri (Northwestern University): The psychology of Trust - Jenn Wortman Vaughan (Microsoft Research): Intelligibility Throughout the Machine Learning Life Cycle - Bum Chul Kwon (IBM Research): Towards Visual Analytics for AI Transparency and Trust in Healthcare More information about these invited talks (including speaker bios and talk abstracts) can be found here: https://trexvis.github.io/Workshop2020/speakers.html The workshop will take place in two sessions and streamed on YouTube. Each session will include presentations with 5-minute Q&A per presentation open to the audience to interact with the speakers and ask questions. We will also have a round table discussion panel at the end of each session and the audience are encouraged to engage through asking questions as well. The workshop schedule is now up and includes links to the accepted papers as well: https://trexvis.github.io/Workshop2020/papers.html We are excited to be a part of IEEE VIS this year and look forward to *virtually* meeting each and every one of you. The workshop flyer is attached for your reference. Best, Mahsan Nourani, on behalf of TREX workshop committee: ** Eric Ragan (University of Florida) Mahsan Nourani (University of Florida) Emily Wall (Northwestern University) John Goodall (Oak Ridge National Lab) Aritra Dasgupta (New Jersey Institute of Technology) Kristin Cook (Pacific North National Lab)** --- Mahsan Nourani, Graduate Research Assistant, INDIE Lab, Department of Computer and Information Science and Engineering, University of Florida mahsan.online<https://mahsan.online/>

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IEEE PacificVis 2021 Final Call for Papers - - Abstract 10/23, Paper 10/30
by Chaoli Wang 18 Oct '20

18 Oct '20

------------------------------------------------------------------------------------- 14th IEEE Pacific Visualization Symposium (PacificVis 2021) APRIL 19-22, 2021 Tianjin, China http://pvis.org/ ------------------------------------------------------------------------------------- PacificVis is a unified visualization symposium, welcoming all areas of visualization research such as information visualization, scientific visualization, graph and network visualization, visual analytics, and specific applications such as (but not limited to) security, software, and biological visualization. Authors are invited to submit original and unpublished research and application papers in all areas of visualization. We encourage papers in any new, novel, and exciting research area that pertains to visualization. All submitted papers will go through a two-stage review process to guarantee the publication of high-quality papers. All papers accepted by IEEE Pacific Visualization 2021 will be published by IEEE and will also be included in the IEEE Digital Library. Selected papers will be published directly in IEEE Transactions on Visualization and Computer Graphics (TVCG). ------------------------------------ *** Revised Deadlines *** ------------------------------------ Due to the impact of COVID-19, the steering and organizing committees have decided to give a four-week extension to all deadlines. The new deadlines are as follows: Abstract due : Oct. 23, 2020 Full paper due : Oct. 30, 2020 Reviews due : Dec. 11, 2020 1st cycle notification : Dec. 23, 2020 Revision due : Jan. 15, 2021 2nd cycle notification : Feb. 8, 2021 Camera ready paper due : Feb. 18, 2021 All deadlines are 9:00 pm Pacific Time (PDT/PST). ------------------------------------ *** Online Presentation *** ------------------------------------ As of now, PacificVis is still scheduled to be held as planned in April 2021. However, we acknowledge that the situation is very dynamic, and we will continue to monitor events and make adjustments accordingly. In particular, we are considering a hybrid meeting with on-site and online presentations. Authors will be allowed to present accepted papers online should the situation (e.g., travel restrictions, visa issues) make on-site presentations impossible. ------------------------------ Topics ------------------------------ Suggested topics include, but are not limited to: Visualization Application Areas: * Statistical Graphics and Mathematics * Financial, Security, and Business Visualization * Physical Sciences and Engineering * Earth, Space, and Environmental Sciences * Geographic, Geospatial, and Terrain Visualization * Molecular, Biomedical, Bioinformatics, and Medical Visualization * Text, Document, and Software Visualization * Social and Information Sciences * Education and Everyday Visualization * Multimedia (Image/Video/Music) Visualization Data-focused Visualization Research: * High-dimensional Data, Dimensionality Reduction, and Data Compression * Multi-field, Multi-modal, Multi-resolution, and Multi-variate Data * Causality and Uncertainty Data * Time Series, Time-varying, Streaming, and Flow Data * Scalar, Vector, and Tensor Fields * Regular and Unstructured Grids * Point-based Data * Large-scale Data (Petabytes, ...) Technique-focused Visualization Research: * Volume Modeling and Rendering * Extraction of Surfaces * Topology-based and Geometry-based Techniques * Glyph-based Techniques * Integrating Spatial and Non-spatial Data Visualization * Machine Learning Approaches Graph and Network Visualization Research: * Design and Experimentation of Graph Drawing Algorithms * Techniques, Interfaces, and Interaction Methods for Graphs, Trees, and Other Relational Data * Visualization of Graphs and Networks in Application Areas * Interfaces and Interaction Techniques for Graph and Network Visualizations * Benchmarks and Experimental Analysis for Graph Visualization Systems Interaction-focused Visualization Research: * Icon- and Glyph-based Visualization * Focus + Context Techniques * Animation * Zooming and Navigation * Brushing + Linking * Coordinated Multiple Views * View-dependent Visualization * Data Labeling, Editing, and Annotation * Collaborative, Co-located, and Distributed Visualization * Manipulation and Deformation * Visual Data Mining and Visual Knowledge Discovery Empirical and Comprehension-focused Visualization Research: * Visual Design and Aesthetics * Illustrative Visualization * Cognition and Perception Issues * User Studies on Visualization Readability and User Interaction * Presentation, Dissemination, and Storytelling * Design Studies, Case Studies, and Focus Groups * Task and Requirements Analysis * Metrics and Benchmarks * Evaluations of All Types: Qualitative, Quantitative, Laboratory, Field, and Usability Studies * Use of Eye Tracking and Other Biometric Measures System-focused Visualization Research: * Novel Algorithms and Mathematics * Taxonomies and Models * Methodologies, Discussions, and Frameworks * Visual Design, Visualization System, and Toolkit Design * Data Warehousing, Database Visualization, and Data Mining * Collaborative and Distributed Visualization Hardware, Display, and Interaction Technology: * Large and High-resolution Displays * Stereo Displays * Mobile and Ubiquitous Environments * Immersive and Virtual Environments * Multimodal Input (Touch, Haptics, Voice, etc.) * Hardware Acceleration * GPUs and Multi-core Architectures * CPU and GPU Clusters * Distributed Systems, Grid, and Cloud Environments * Volume Graphics Hardware ------------------------------ Submission ------------------------------ Papers are to be submitted online through the new Precision Conference System (https://new.precisionconference.com/user/login?society=vgtc) at the PacificVis 2021 Papers track. Original, unpublished papers of up to ten (10) pages (two-column, single-spaced, 9 point font, including figures, tables, and references) are invited. Manuscripts must be written in English and follow the formatting guidelines (https://pacificvis.github.io/) It is recommended (but not mandatory) to submit an anonymized version of your manuscript for double-blind review - in this case, please remove all author and affiliation information from submissions and supplemental files as well as substitute your paper’s ID number for the author name. Papers should be submitted electronically in Adobe PDF format. Please provide supplemental videos in QuickTime MPEG-4 or DivX version 5, and use TIFF, JPEG, or PNG for supplemental images. ------------------------------ Papers Chairs ------------------------------ Nan Cao Tongji University, China Holger Theisel University of Magdeburg, Germany Chaoli Wang University of Notre Dame, USA Email: pvis_papers(a)pvis.org ------------------------------ Paper Types ------------------------------ A visualization research paper typically falls into one of five categories: technique, system, application/design study, evaluation, or theory/model. We briefly discuss these categories below. Although your main paper type has to be specified during the paper submission process, papers can include elements of more than one of these categories. Please see “Process and Pitfalls in Writing Information Visualization Research Papers” by Tamara Munzner for a more detailed discussion. *Technique papers* introduce novel techniques or algorithms that have not previously appeared in the literature, or that significantly extend known techniques or algorithms, for example, by scaling to datasets of much larger size than before or by generalizing a technique to a larger class of uses. The technique or algorithm description provided in the paper should be complete enough that a competent graduate student in visualization could implement the work, and the authors should create a prototype implementation of the methods. Relevant previous work must be referenced, and the advantage of the new methods over it should be clearly demonstrated. There should be a discussion of the tasks and datasets for which this new method is appropriate, and its limitations. Evaluation through informal or formal user studies, or other methods, will often serve to strengthen the paper, but are not mandatory. *System papers* present a blend of algorithms, technical requirements, user requirements, and design that solves a major problem. The system that is described is both novel and important, and has been implemented. The rationale for significant design decisions is provided, and the system is compared to documented, best-of-breed systems already in use. The comparison includes a specific discussion of how the described system differs from and is, in some significant respects, superior to those systems. For example, the described system may offer substantial advancements in the performance or usability of visualization systems or novel capabilities. Every effort should be made to eliminate external factors (such as advances in processor performance, memory sizes, or operating system features) that would affect this comparison. *Application/design study papers* explore the choices made when applying visualization and visual analytics techniques in an application area, for example relating the visual encodings and interaction techniques to the requirements of the target task. Similarly, application/design study papers have been the norm when researchers describe the use of visualization techniques to glean insights from problems in engineering and science. Although a significant amount of application domain background information can be useful to provide a framing context in which to discuss the specifics of the target task, the primary focus of the case study must be the visualization content. The results of the application/design study, including insights generated in the application domain, should be clearly conveyed. Describing new techniques and algorithms developed to solve the target problem will strengthen a design study paper, but the requirements for novelty are less stringent than in a technique paper. Where necessary, the identification of the underlying parametric space and its efficient search must be aptly described. The work will be judged by the design lessons learned or insights gleaned, on which future contributors can build. We invite submissions on any application area. *Evaluation papers* explore the usage of visualization and visual analytics by human users, and typically present an empirical study of visualization techniques or systems. Authors are not necessarily expected to implement the systems used in these studies themselves; the research contribution will be judged on the validity and importance of the experimental results as opposed to the novelty of the systems or techniques under study. The conference committee appreciates the difficulty and importance of designing and performing rigorous experiments, including the definition of appropriate hypotheses, tasks, data sets, selection of subjects, measurement, validation, and conclusions. The goal of such efforts should be to move from mere description of experiments, toward prediction and explanation. We do suggest that potential authors who have not had formal training in the design of experiments involving human subjects may wish to partner with a colleague from an area such as psychology or human-computer interaction who has experience with designing rigorous experimental protocols and statistical analysis of the resulting data. Other novel forms of evaluation are also encouraged. *Theory/model papers* present new interpretations of the foundational theory of visualization and visual analytics. Implementations are usually not relevant for papers in this category. Papers should focus on basic advancement in our understanding of how visualization techniques complement and exploit properties of human vision and cognition. For more information and updates, please visit: http://pvis.org/

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Invitation to IEEE VIS Workshop on VisActivities to Facilitate Learning, Reflecting, Designing, and Discussing on Monday Oct-26, 2020
by Benjamin Bach 12 Oct '20

12 Oct '20

Dear Colleague(s), We warmly invite you to our IEEE VIS Workshop on VisActivities to Facilitate Learning, Reflecting, Designing, and Discussing on Monday Oct 26, 8:00am-11:25am (Mountain Time - USA, http://visactivities.github.io <http://visactivities.github.io/>). Participation is free for everyone registering (for free) to the IEEE VIS conference (http://ieeevis.org/year/2020/info/registration/conference-registration <http://ieeevis.org/year/2020/info/registration/conference-registration>). Help us spread the word! The workshop will be streamed through Zoom and is split into two parts: Part I: Paper presentations (https://visactivities.github.io/#papers) Part II: Workshop on creating and discussing (novel) data visualization activities to address challenges in teaching, reflection or design. This is an active hands-on activity and if you would like to participante, please fill this very short questionnaire: https://forms.gle/qbCCrZz92xAoJgYv8 <https://forms.gle/qbCCrZz92xAoJgYv8> Thanks and congratulations to all the authors for their accepted papers (https://visactivities.github.io/#papers <https://visactivities.github.io/#papers>)! The workshop is preceded by a panel on teaching visualization in the IEEE VIS Workshop on Creation, Curation, and Conditioning on Principles and Guidelines in Visualization (https://nms.kcl.ac.uk/c4pgv <https://nms.kcl.ac.uk/c4pgv>) on Sunday, Oct-25, 2020 at 8am Mountain Time. We would also like to point you to our CG&A Special Issue on Visualization Education and Teaching Visualization Literacy with a paper deadline on April 28: https://www.computer.org/digital-library/magazines/cg/call-for-papers-speci… <https://www.computer.org/digital-library/magazines/cg/call-for-papers-speci…> Looking forward to see you at the workshop! VisActivities Workshop organizers *************************************** Samuel Huron <https://perso.telecom-paristech.fr/shuron/#!index.md>, Telecom Paris, Institut Polytechnique de Paris Benjamin Bach <http://benjbach.me/>, University of Edinburgh Uta Hinrichs <http://utahinrichs.de/>, University of St. Andrews Jonathan C. Roberts <https://www.bangor.ac.uk/computer-science-and-electronic-engineering/staff/…>, Bangor University Mandy Keck <http://www.visual-search.org/>, Technische Universität Dresden The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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Postdoctoral Fellowships in Biomedical Data Visualization
by Gehlenborg, Nils 07 Oct '20

07 Oct '20

Dear all, My lab at Harvard Medical School has openings for multiple postdoctoral fellows in visualization of biomedical data. These positions are available immediately: http://gehlenborglab.org/team/positions/postdoctoral-fellow-ehr-data-visual… Develop novel visualization methods and educational materials for data generated by the 4CE Consortium. 4CE is an international consortium for electronic health record (EHR) data-driven studies of the COVID-19 pandemic. This project is highly interdisciplinary and being conducted in close cooperation with clinical experts, providing an excellent opportunity for collaborative research. Key collaborators are Isaac Kohane, Griffin Weber, Paul Avillach, Gabriel Brat, and Tianxi Cai at Harvard Medical School. http://gehlenborglab.org/team/positions/postdoctoral-fellow-nucleomics-visu… Develop novel visualization methods and tools for data generated by the NIH 4D Nucleome Consortium. This project is highly interdisciplinary and being conducted in close cooperation with computational and experimental domain experts, providing an excellent opportunity for collaborative research. Key collaborators are Peter Park at Harvard Medical School, Leonid Mirny at MIT, and Job Dekker at HHMI/UMASS Medical School. Successful applicants will be contributing to the NIH 4D Nucleome Consortium, which recently launched its 2nd phase (2020 - 2025). Best, Nils

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Participants still needed for visualization recommendation performance study
by Zehua Zeng 01 Oct '20

01 Oct '20

Hi everyone, We are conducting a user study to evaluate the performance of different data visualization recommendation techniques. Participation in the study is completely remote, and participants will receive a *$10 Amazon gift card* as a thank you for participating. If you are interested, the full details are below. Sign up form: https://umdsurvey.umd.edu/jfe/form/SV_3K7nFtrdXLeksst ** We need participants from both academia and industry. Industrial participants are more needed. We would deeply appreciate it if you could forward this email to anyone you think might be interested in participating. Thank you so much! ** ----------------------------------------------------- Are you interested in learning about some of the latest advances in data analytics and data science? Are you excited about new opportunities to practice your data visualization skills? Would you like to make a direct contribution to state-of-the-art data science research? We would like to invite you to participate in a University of Maryland research study on data visualization tools. We need participants for an approximately 60-minute study session online. In this session, you will use a visualization tool to answer analysis questions about a provided dataset and will be asked to complete surveys regarding demographic information and your feedback on the analysis environment. You will receive a *$10 Amazon gift card* as a thank you for your participation. Your participation will contribute directly to supporting current and future data science research. Usage data during the session will be recorded automatically, anonymized, and shared publicly as a community resource. Personal demographic details and survey answers will be only shared as aggregated results. Interaction logs and interview answers will be shared after being anonymized. Note that any raw data from the user study will be kept confidential, and will not be shared. To participate in the study, you must be at least 18 years of age and meet these criteria: (1) normal vision or corrected to normal with glasses or contact lenses; (2) normal color vision and (3) have at least basic visualization or data analysis experience, such as experience with one of the following tools (or similar tools): Excel, R, SAS, Numpy/Pandas, Tableau. Participation in the study is completely voluntary. Please complete the following sign-up form if you are interested in participating in this study. If you have any questions, please contact Zehua Zeng by email at zzeng(a)cs.umd.edu. Note that we cannot ensure the confidentiality of any information sent by e-mail. Please also feel free to forward this invitation to any other eligible individuals you think might be interested in participating. Best, Zehua

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IEEE PacificVis 2021 Call for Papers - - Revised Deadlines and Online Presentation
by Chaoli Wang 28 Sep '20

28 Sep '20

------------------------------------------------------------------------------------- 14th IEEE Pacific Visualization Symposium (PacificVis 2021) APRIL 19-22, 2021 Tianjin, China http://pvis.org/ ------------------------------------------------------------------------------------- PacificVis is a unified visualization symposium, welcoming all areas of visualization research such as information visualization, scientific visualization, graph and network visualization, visual analytics, and specific applications such as (but not limited to) security, software, and biological visualization. Authors are invited to submit original and unpublished research and application papers in all areas of visualization. We encourage papers in any new, novel, and exciting research area that pertains to visualization. All submitted papers will go through a two-stage review process to guarantee the publication of high-quality papers. All papers accepted by IEEE Pacific Visualization 2021 will be published by IEEE and will also be included in the IEEE Digital Library. Selected papers will be published directly in IEEE Transactions on Visualization and Computer Graphics (TVCG). ------------------------------------ *** Revised Deadlines *** ------------------------------------ Due to the impact of COVID-19, the steering and organizing committees have decided to give a four-week extension to all deadlines. The new deadlines are as follows: Abstract due : Oct. 23, 2020 Full paper due : Oct. 30, 2020 Reviews due : Dec. 11, 2020 1st cycle notification : Dec. 23, 2020 Revision due : Jan. 15, 2021 2nd cycle notification : Feb. 8, 2021 Camera ready paper due : Feb. 18, 2021 All deadlines are 9:00 pm Pacific Time (PDT/PST). ------------------------------------ *** Online Presentation *** ------------------------------------ As of now, PacificVis is still scheduled to be held as planned in April 2021. However, we acknowledge that the situation is very dynamic, and we will continue to monitor events and make adjustments accordingly. In particular, we are considering a hybrid meeting with on-site and online presentations. Authors will be allowed to present accepted papers online should the situation (e.g., travel restrictions, visa issues) make on-site presentations impossible. ------------------------------ Topics ------------------------------ Suggested topics include, but are not limited to: Visualization Application Areas: * Statistical Graphics and Mathematics * Financial, Security, and Business Visualization * Physical Sciences and Engineering * Earth, Space, and Environmental Sciences * Geographic, Geospatial, and Terrain Visualization * Molecular, Biomedical, Bioinformatics, and Medical Visualization * Text, Document, and Software Visualization * Social and Information Sciences * Education and Everyday Visualization * Multimedia (Image/Video/Music) Visualization Data-focused Visualization Research: * High-dimensional Data, Dimensionality Reduction, and Data Compression * Multi-field, Multi-modal, Multi-resolution, and Multi-variate Data * Causality and Uncertainty Data * Time Series, Time-varying, Streaming, and Flow Data * Scalar, Vector, and Tensor Fields * Regular and Unstructured Grids * Point-based Data * Large-scale Data (Petabytes, ...) Technique-focused Visualization Research: * Volume Modeling and Rendering * Extraction of Surfaces * Topology-based and Geometry-based Techniques * Glyph-based Techniques * Integrating Spatial and Non-spatial Data Visualization * Machine Learning Approaches Graph and Network Visualization Research: * Design and Experimentation of Graph Drawing Algorithms * Techniques, Interfaces, and Interaction Methods for Graphs, Trees, and Other Relational Data * Visualization of Graphs and Networks in Application Areas * Interfaces and Interaction Techniques for Graph and Network Visualizations * Benchmarks and Experimental Analysis for Graph Visualization Systems Interaction-focused Visualization Research: * Icon- and Glyph-based Visualization * Focus + Context Techniques * Animation * Zooming and Navigation * Brushing + Linking * Coordinated Multiple Views * View-dependent Visualization * Data Labeling, Editing, and Annotation * Collaborative, Co-located, and Distributed Visualization * Manipulation and Deformation * Visual Data Mining and Visual Knowledge Discovery Empirical and Comprehension-focused Visualization Research: * Visual Design and Aesthetics * Illustrative Visualization * Cognition and Perception Issues * User Studies on Visualization Readability and User Interaction * Presentation, Dissemination, and Storytelling * Design Studies, Case Studies, and Focus Groups * Task and Requirements Analysis * Metrics and Benchmarks * Evaluations of All Types: Qualitative, Quantitative, Laboratory, Field, and Usability Studies * Use of Eye Tracking and Other Biometric Measures System-focused Visualization Research: * Novel Algorithms and Mathematics * Taxonomies and Models * Methodologies, Discussions, and Frameworks * Visual Design, Visualization System, and Toolkit Design * Data Warehousing, Database Visualization, and Data Mining * Collaborative and Distributed Visualization Hardware, Display, and Interaction Technology: * Large and High-resolution Displays * Stereo Displays * Mobile and Ubiquitous Environments * Immersive and Virtual Environments * Multimodal Input (Touch, Haptics, Voice, etc.) * Hardware Acceleration * GPUs and Multi-core Architectures * CPU and GPU Clusters * Distributed Systems, Grid, and Cloud Environments * Volume Graphics Hardware ------------------------------ Submission ------------------------------ Papers are to be submitted online through the new Precision Conference System (https://new.precisionconference.com/user/login?society=vgtc) at the PacificVis 2021 Papers track. Original, unpublished papers of up to ten (10) pages (two-column, single-spaced, 9 point font, including figures, tables, and references) are invited. Manuscripts must be written in English and follow the formatting guidelines (https://pacificvis.github.io/) It is recommended (but not mandatory) to submit an anonymized version of your manuscript for double-blind review - in this case, please remove all author and affiliation information from submissions and supplemental files as well as substitute your paper’s ID number for the author name. Papers should be submitted electronically in Adobe PDF format. Please provide supplemental videos in QuickTime MPEG-4 or DivX version 5, and use TIFF, JPEG, or PNG for supplemental images. ------------------------------ Papers Chairs ------------------------------ Nan Cao Tongji University, China Holger Theisel University of Magdeburg, Germany Chaoli Wang University of Notre Dame, USA Email: pvis_papers(a)pvis.org ------------------------------ Paper Types ------------------------------ A visualization research paper typically falls into one of five categories: technique, system, application/design study, evaluation, or theory/model. We briefly discuss these categories below. Although your main paper type has to be specified during the paper submission process, papers can include elements of more than one of these categories. Please see “Process and Pitfalls in Writing Information Visualization Research Papers” by Tamara Munzner for a more detailed discussion. *Technique papers* introduce novel techniques or algorithms that have not previously appeared in the literature, or that significantly extend known techniques or algorithms, for example, by scaling to datasets of much larger size than before or by generalizing a technique to a larger class of uses. The technique or algorithm description provided in the paper should be complete enough that a competent graduate student in visualization could implement the work, and the authors should create a prototype implementation of the methods. Relevant previous work must be referenced, and the advantage of the new methods over it should be clearly demonstrated. There should be a discussion of the tasks and datasets for which this new method is appropriate, and its limitations. Evaluation through informal or formal user studies, or other methods, will often serve to strengthen the paper, but are not mandatory. *System papers* present a blend of algorithms, technical requirements, user requirements, and design that solves a major problem. The system that is described is both novel and important, and has been implemented. The rationale for significant design decisions is provided, and the system is compared to documented, best-of-breed systems already in use. The comparison includes a specific discussion of how the described system differs from and is, in some significant respects, superior to those systems. For example, the described system may offer substantial advancements in the performance or usability of visualization systems or novel capabilities. Every effort should be made to eliminate external factors (such as advances in processor performance, memory sizes, or operating system features) that would affect this comparison. *Application/design study papers* explore the choices made when applying visualization and visual analytics techniques in an application area, for example relating the visual encodings and interaction techniques to the requirements of the target task. Similarly, application/design study papers have been the norm when researchers describe the use of visualization techniques to glean insights from problems in engineering and science. Although a significant amount of application domain background information can be useful to provide a framing context in which to discuss the specifics of the target task, the primary focus of the case study must be the visualization content. The results of the application/design study, including insights generated in the application domain, should be clearly conveyed. Describing new techniques and algorithms developed to solve the target problem will strengthen a design study paper, but the requirements for novelty are less stringent than in a technique paper. Where necessary, the identification of the underlying parametric space and its efficient search must be aptly described. The work will be judged by the design lessons learned or insights gleaned, on which future contributors can build. We invite submissions on any application area. *Evaluation papers* explore the usage of visualization and visual analytics by human users, and typically present an empirical study of visualization techniques or systems. Authors are not necessarily expected to implement the systems used in these studies themselves; the research contribution will be judged on the validity and importance of the experimental results as opposed to the novelty of the systems or techniques under study. The conference committee appreciates the difficulty and importance of designing and performing rigorous experiments, including the definition of appropriate hypotheses, tasks, data sets, selection of subjects, measurement, validation, and conclusions. The goal of such efforts should be to move from mere description of experiments, toward prediction and explanation. We do suggest that potential authors who have not had formal training in the design of experiments involving human subjects may wish to partner with a colleague from an area such as psychology or human-computer interaction who has experience with designing rigorous experimental protocols and statistical analysis of the resulting data. Other novel forms of evaluation are also encouraged. *Theory/model papers* present new interpretations of the foundational theory of visualization and visual analytics. Implementations are usually not relevant for papers in this category. Papers should focus on basic advancement in our understanding of how visualization techniques complement and exploit properties of human vision and cognition. For more information and updates, please visit: http://pvis.org/

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Deadline extended: ACM ISS 2020 - International Workshop on Cross-Reality Interaction (CfP)
by Klen Čopič Pucihar 26 Sep '20

26 Sep '20

*Deadline extended till 7 Oct* *ACM ISS 2020, Nov 8-11, 2020, Lisbon, Portugal (ALL VIRTUAL)* The 14th ACM conference on Interactive Surfaces and Spaces (ACM ISS 2020) is taking place from November 8 to 11 in all virtual conference mode. As part of the conference we organize the first International Workshop on Cross-Reality Interaction. *Call for participation* You are invited to submit a position or work-in-progress paper (2-4 pages, single column) to the first international workshop on Cross-Reality (XR) Interaction that describes the usage and transition between different systems on the reality-virtuality continuum (e.g. from reality to augmented reality (AR) and virtual reality (VR)) or concurrent usage of multiple systems on this continuum for collaborative purposes. We invite you to make submissions relating to the workshop topic or any of the following themes: * XR conceptual models and design principles * Interaction, transition, and visualization or perception techniques * Real-world tool use and tangibles as input to XR systems * Collaboration across the reality-virtuality continuum * Input and output devices * Use cases in, e.g., education, industry, transportation, sports, healthcare * Evaluation of XR experiences * Privacy and security in XR * Any other XR related topic *Deadline* for submission is October 7nd 2020: https://xr.famnit.upr.si/#dates We will do our best to accommodate participants in disparate time-zones. All papers will be juried by an expert committee who will select participants based on the relevance and quality of the work on the broad domain of XR interaction. The proceedings of the workshop will be published on the website and through online repository (e.g. HAL, arXive) indexed by Google scholar. Please refer to the worksop website for further details https://xr.famnit.upr.si/ or write to augusto.esteves(a)tecnico.ulisboa.pt or klen.copic(a)famnit.upr.si. *Organisers* Adalberto L. Simeone, Mohamed Khamis, Augusto Esteves, Florian Daiber, Matjaž Kljun, Klen Čopič Pucihar, Poika Isokoski, Jan Gugenheimer

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ACM IUI 2021: Call for papers (update on paper format)
by Axel Soto 25 Sep '20

25 Sep '20

*** ACM IUI 2021: Call for Papers *** * College Station, TX * April 13-17, 2021 * http://iui.acm.org/2021/ * Contact: program2021(a)iui.acm.org ## IMPORTANT UPDATE Please check the updated paper format and length restrictions for short and long papers on https://iui.acm.org/2021/call_for_papers.html ## Upcoming deadlines Abstract: Oct 2, 2020 (compulsory) Paper submission: Oct 9, 2020 ## ACM IUI 2021 ACM IUI 2021 is the 26th annual premier international forum for reporting outstanding research and development on intelligent user interfaces. ACM IUI is where the Human-Computer Interaction (HCI) and Artificial Intelligence (AI) communities meet, with contributions from related fields such as psychology, behavioral science, cognitive science, computer graphics, design, the arts, and more. Our focus is on improving the interaction between humans and digital technology, by leveraging both HCI approaches and state-of-the art AI techniques from machine learning, natural language processing, data mining, knowledge representation and reasoning. ### Why you should submit to ACM IUI While other conferences focus on either the AI or HCI side of this research, we address the complex interaction between the two. We strongly encourage submissions that simultaneously discuss research from both HCI and AI. We also welcome works that focus more on one side or the other, but still highlight the connections between the two. We value papers that contribute methodology or theory for the evaluation of intelligent user interfaces. We do not require evaluations with users, but we do expect papers to include an appropriate evaluation for their stated contributions. ACM IUI welcomes contribution from all relevant arenas—academia, industry, government, and non-profit organizations—and gives its participants the opportunity to present and see cutting-edge IUI work in a focused and interactive setting. The conference is large enough to be diverse and lively, but small enough to allow for extensive interaction among attendees and easy attendance to the events that the conference offers, ranging from oral paper presentations, poster sessions, workshops, panels and a doctoral consortium for graduate students. ### COVID-19 statement We are monitoring the situation regarding the global pandemic and associated travel restrictions. If needed, we will offer a virtual presentation option if the conference cannot take place due to the global pandemic, or if registered authors from specific parts of the world cannot attend the conference. ## Papers We accept two forms of contributions: full and short papers. They should both make novel contributions to IUI, however full papers should make more substantial and significant contributions, while short papers can contain more focused contributions. Accepted papers will appear in the ACM Digital Library and citation indices. A selected set of accepted top quality full papers will be invited to submit their extended versions for publication in an ACM Transactions on Interactive Intelligent Systems (TiiS, http://tiis.acm.org) special issue titled "Highlights of IUI 2021". ## Topics IUI topics of interest include, but are not limited to: * Application areas * Internet of Things (IoT) * Education and learning-related technologies * Health and intelligent health technologies * Assistive technologies * Social media and other Web technologies * Mobile applications * Artificial personal assistants * Information retrieval, search, and recommendation systems * Interface types * Affective and aesthetic interfaces * Collaborative interfaces * Speech-based interfaces * AR/VR interfaces * Intelligent wearable and mobile interfaces * Ubiquitous smart environments * Modalities * Agent based interfaces (e.g., embodied agents, virtual assistants) * Multi-modal interfaces (speech, gestures, eye gaze, face, physiological information etc.) * Conversational interfaces * Tangible interfaces * Intelligent visualization * Methods and approaches * Methods for explanations (e.g., transparency, control, and trust) * Persuasive technologies in IUI * Privacy and security of IUI * Planning and plan recognition for IUI * Knowledge-based approaches to user interface design and generation * User Modelling for Intelligent Interfaces * User-Adaptive interaction and personalization * Crowd computing and human computation * Human-in-the loop machine learning * Evaluations of intelligent user interfaces * User experiments * User studies * Reproducibility (including benchmarks, datasets, and challenges) * Meta-analyses * Mixed-methods evaluations ## Dates * Oct 2, 2020: Abstract deadline (compulsory) * Oct 9, 2020: Papers deadline * Dec 14, 2020: Notification * Feb 8, 2021: Camera ready due * Apr 13, 2021: Conference starts ## Submission Guidelines Check the submission guidelines on the conference page: https://iui.acm.org/2021/call_for_papers.html ## Program Chairs * John O’Donovan, University of California, Santa Barbara * Bart Knijnenburg, Clemson University * Paul Teale, Texas A&M * Jeeeun Kim, Texas A&M * Aaron Adler, Raytheon BBN Technologies * Manoj Prasad, Microsoft * Contact: program2021(a)iui.acm.org

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IEEE AIVR Immersive Analytics workshop (ImAna 2020) - deadline extended
by Klen Čopič Pucihar 24 Sep '20

24 Sep '20

IMMERSIVE ANALYTICS workshop (ImAna 2020) In conjunction with IEEE AIVR Dec 14-18, 2020, http://ieee-aivr.org ========================================= *Deadline extended till 4 Oct* Immersive analytics (IA) is an interdisciplinary research field that uses VR/AR to create truly immersive and interactive representations of big data for a better analysis and understanding. In this Immersive Analytics workshop (ImAna), we want to explore the state of the art in IA, identify problems and major challenges, and look into recent improvements and promising ideas. We are inviting contributions in the form of scientific papers and video demonstrations in all domains related to immersive analytics. We are particulary interested in examples that show how AI and VR/AR can be brought together to create and improve IA. Topics of interest include but are not limited to: * IA systems, system design, implementation, toolkits * IA applications, use cases, case studies, experiences * Innovative VR/AR usage for IA (ideally with potential for including AI techniques) * Innovative AI usage for IA (ideally with potential for integration into VR/AR systems) * IA interaction, authoring and creation of IA systems, collaboration * Human factors, multimodality, social aspects, evaluations * Theoretical frameworks, models, position statements, surveys For details about submission please refer to the workshop's website at https://aivr.science.uu.nl/ImAna2020/ IMPORTANT DATES: * Oct 04, 2020: submission deadline (AoE; extended and final) * Oct 16, 2020: author notification * Oct 30, 2020: camera ready and registration deadline The workshop will be integrated into the IEEE AIVR 2020 conference, which takes place online from Dec 14-18, 2020. Accepted submissions will be included into the conference proceedings and published in IEEE Xplore.

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IEEE AIVR 2020 Call for Workshop papers (deadline extended to Oct 4)
by Hürst, W.O. (Wolfgang) 23 Sep '20

23 Sep '20

3rd IEEE Intl. Conference on Artificial Intelligence & Virtual Reality Dec 14-18, 2020, http://ieee-aivr.org ========================================= *Due to various requests, the deadline has been extended to 4 Oct* IEEE AIVR is a unique event, addressing researchers and industries from all areas of AI as well as Virtual, Augmented, and Mixed Reality. It provides an international forum for the exchange between those fields to present advances in the state of the art, identify emerging research topics, and together define the future of these exciting research domains. In 2020, the conference will feature five interesting workshops. Submission deadline is October 4, 2020 (AoE). Please refer to the individual workshop sites for submission details. Workshop 1: AIXR - Ethics in AI & XR https://sites.google.com/view/aixr/home Workshop 2: CRDH - From Capture to Rendering of Digital Humans for AR/VR https://crdh-workshop.github.io/2020/ Workshop 3: ImAna - Workshop on Immersive Analytics https://aivr.science.uu.nl/ImAna2020/index.html Workshop 4: MARCH - Modeling and Animating Realistic Crowds and Humans https://sites.google.com/view/ieee-aivr2020-march Workshop 5: XRMI - Extended Reality in Medical Imaging https://xrmi.blogs.lincoln.ac.uk/2020/06/05/xrmi-extended-reality-in-medica…

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