September 2014 - Infovis

Research Scientist, Visual Analysis at Tableau Software
by Robert Kosara 30 Sep '14

30 Sep '14

Tableau Software is looking to fill research scientist positions in specific areas, including visual analysis. I am including the main parts of the job ad below; for the full description and to apply, see here: https://ch.tbe.taleo.net/CH11/ats/careers/requisition.jsp?org=TABLEAU&cws=1… Research Scientist, Visual Analysis Department: Engineering Location: Seattle, WA or Kirkland, WA or Menlo Park, CA Description Tableau has a strong team focused on innovation in the area of visual analysis including people who regularly write academic papers. We are looking for visual analysis researcher who will be a member of Tableau Research and will work collaboratively with the entire development team on a range of topics similar to the following: * Geographic visualization * Temporal visualization * Node-link visualization * Multiple coordinated displays * Storytelling with data * Human computer interaction * Visual perception related to visual analytics What you’ll be doing… *LI-DA1 As a member of Tableau Research focused on visual analysis, you will select and drive forward a portfolio of research topics relevant to Tableau’s mission to help people see and understand data. You will work collaboratively with everyone at Tableau including engineers, product managers, executives, and designers throughout the planning and development life-cycle. You will be constantly challenged to leverage your creativity and your technical prowess to help everyone at Tableau to innovate. Some of the things you’ll be doing include… * Research a portfolio of topics relevant to Tableau Software * Write academic papers and participate in the academic community (including membership in review committees) * Give talks inside and outside Tableau including at conferences and to customers * Design and implement prototypes to validate research innovations and communicate those innovations to the rest of Tableau * Work directly with developers and feature teams to ensure designs are implemented as useful user experiences * Monitor and report on external research activities in the areas relevant to Tableau * Mentor Tableau research interns * Other duties as assigned Who you are… * Educated. PhD or equivalent in one or more areas relevant to Tableau’s work on databases. * Communicator. Excellent communication, presentation, and interpersonal skills * Experienced. Experience working in a collaborative team and working directly with developers for implementation of designs. * Flexible. Occasional travel may be required -- Robert Kosara Research Scientist Tableau Software rkosara(a)tableausoftware.com<mailto:rkosara@tableausoftware.com> — eagereyes.org<http://eagereyes.org/> — @eagereyes<https://twitter.com/eagereyes>

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The IEEE International Data-Visualization Contest 2014
by Wong, Pak C 26 Sep '14

26 Sep '14

There are still time for the IEEE Data Visualization contest. The deadline is Monday, Sept 29. See http://vgtc.org/content/ieee-vgtc-international-data-visualization-contest for submission details. _____________________________________________ Deadline: Monday, Sept 29, 2014 Call for Participation The IEEE VGTC International Data-Visualization Contest Contest Theme: Visualization-Now I See It! http://vgtc.org/content/ieee-vgtc-international-data-visualization-contest DEADLINE: Monday, Sept 29, 2014 The IEEE Visualization and Graphics Technical Committee (VGTC)<http://vgtc.org/> is sponsoring its first International Data-Visualization Contest to recognize outstanding design in visualization and visual analytics from around the world. The 2014 contest theme is "Visualization-Now I See It!" The contest will be administrated by the IEEE Visualization Pioneers Group (VPG)<http://vgtc.org/content/ieee-vgtc-visualization-pioneers-group> under the auspices of IEEE VGTC. The award will be announced at the IEEE VPG Reception to be held at the IEEE VIS 2014<http://ieeevis.org/> conference. You are not required to attend either the VIS 2014 conference or the VPG reception to participate in the contest. Eligibility All visualization and visual analytics designers, developers, researchers, and practitioners from business, academia, and government sectors around the world are eligible to participate. Submissions cannot promote a commercial product. Submission Limitation Contestants may be lead author on no more than 3 submissions to the 2014 contest. They may be a co-author of any number of submissions. Submission Deadline Nomination packets must be received by 5pm PDT on Monday, September 29, 2014 to qualify for the 2014 contest. Selection Procedure All active IEEE VPG members<http://vgtc.org/content/vis-pioneers-group-vpg-members> who do not make a submission to the contest will be invited to participate in the first-round review. The top contest submissions from this first-round review will undergo a second round of reviews conducted by five distinguished IEEE VPG members representing different backgrounds, who will be chosen jointly by the VGTC and VPG chairs. The 5-member selection committee will thoroughly review and assess the top contest submissions based on communication effectiveness and design originality. The selection committee will submit their recommendation for best visualization to the IEEE VGTC chair by Monday, Oct 27, 2014. Monetary Award Along with a certificate, the winner of the IEEE/VGTC VIS Pioneers Group Best Data-Visualization Award will receive a check for $500 USD. Only one monetary award will be given in 2014. Submission Details The 2014 contest accepts only static visualizations in the form of an image. The contest participant should email the submission package to ieeevpg(a)googlegroups.com<mailto:ieeevpg@googlegroups.com>. The package will include: 1. A pdf file that contains: a. Title of the data-visualization contest submission b. Name, affiliation, email address, and postal address of the participant c. An up to 200 words description of the visualization written in English 2. A static visualization figure in jpg or png format. The size of the total submission package must be less than 10MB. For questions, contact vpg_awards(a)vgtc.org<mailto:vpg_awards@vgtc.org>.

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The submission deadline for the 3DVis Workshop has been extended to september 28th
by Thierry Duval 25 Sep '14

25 Sep '14

Submission deadline has been extended to september 28th, 2014 Last Call For Papers 2014 IEEE VIS International Workshop on 3DVis: Does 3D really make sense for Data Visualization? Context * The aim of this workshop is to discuss 3D display and 3D user interfaces for scientific and information visualization and Visual Analytics. * As such, it is interesting to analyze the state of the art in 3D visualization and associated interaction. It is also the good place to review how 3D displays and user interfaces match human perceptual, cognitive and motor capabilities. * Indeed, it is the heart of the 2D vs. 3D debate. On the one hand, 3D technologies provide additional options for display and interaction, which broadens the space of potential solutions considerably. Consequently, many 3D visualization approaches have been implemented. The recent introduction of low-cost virtual and augmented reality hardware further paves the way towards a deeper exploration of the design space for 3D visualization. Moreover, better consistency in terms of dimensions between the visualization and interaction may also improve the immersion and navigation in huge amounts of data. * On the other hand, the experimental results from studies that investigate the differences between 2D and 3D visualization interfaces provide no real evidence for the claimed benefits of 3D technologies. Thus, the current body of literature provides at best inconclusive guidance on the benefits of 3D approaches. Moreover, a deep consideration of human abilities and capabilities identifies a potential mismatch with full 3D user interfaces. Yet, there may be a bias in the evaluations, as the prevalent visualization and interaction techniques in all areas of visualization are based on non-immersive technologies. * In this workshop, we would like to present evidence for both sides of this debate, and also provide directions for future work. Description * This workshop is a satellite event of the IEEE VIS 2014 conference: http://ieeevis.org/ * Although 3D interfaces may add additional possibilities for data representation as well as more natural interaction, current experimental results are inconclusive and the adoption of 3D methods by end users is rare. * This 2D vs. 3D debate, far from having a final answer, is the focus of this workshop. * New low-cost 3D systems make this technology accessible to everyone and also enable new modes of interaction. This has the potential to facilitate interaction with huge data sets. Technical Scope * Immersive visualization, navigation and interaction * 3D for Scientific visualization, Information visualization, Visual analytics * VR, AR and MR for 3D visualization * Key factors and issues in 3D Data Visualization * User evaluation of 2D vs 3D Duration * Sunday morning, november 9th (and afternoon, depending on the number of accepted papers) Submissions * We sollicit research papers, technotes, states of the art, position papers and demonstrations within the scope of 3D Visualization: o Research Papers (up to 8 pages) should describe original research results or original 3D Vis systems or frameworks o Technotes (up to 4 pages) should contain unpublished preliminary results of research, application, design or system work o State of the art reports (up to 8 pages) should provide surveys on one of the topics of this workshop o Position Papers (up to 6 pages) should present interesting and possibly controversial points of view on one of the topics of this workshop o Demonstrations (up to 2 pages associated to a video) should illustrate some limitations of the 2D or the 3D approach * *New Submission dates:* o *Deadline for all categories of submissions: september 28th, 2014* o *Notification of acceptance: october 22th, 2014* o *Final version of the contributions: november 6th, 2014* * Submitted papers will be evaluated through a double blind reviewing process of the submissions by the PC committee members * The workshop proceedings will consist of all accepted papers and will be submitted to the IEEE Digital Library (this workshop received official IEEE approval on august 1st, 2014) * Blind submissions should be made through the Easychair system: https://www.easychair.org/conferences/?conf=3dvisieeevis2014 * If you have any question about this workshop, you can send an email to: o thierry.duval(a)telecom-bretagne.eu Website of the workshop: * https://sites.google.com/site/3dvisieeevis2014/ -- Professeur à l'Institut Mines-Télécom Télécom Bretagne - Département LUSSI Technopôle Brest-Iroise CS 83818 - 29238 Brest Cedex 3 - France Membre de l'équipe IHSEV du Lab-STICC (UMR CNRS 6285) Responsable Scientifique du Laboratoire ATOL phone: +33 2 29 00 14 67 - Fax: +33 2 29 00 10 00 http://sites.google.com/site/thierryduvalwebsite/

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ACM RecSys 2014 (Silicon Valley): final registration deadline for workshops and tutorials coming up
by Alfred Kobsa 23 Sep '14

23 Sep '14

8th ACM INTERNATIONAL CONFERENCE ON RECOMMENDER SYSTEMS (RecSys 2014) Oct 6 + 10, 2014, Foster City (Silicon Valley), CA, USA http://recsys.acm.org/recsys14 (Workshop and tutorial days only) ===================================================================== REGISTRATION ===================================================================== Final deadline: Sept. 30 (PDT), at http://recsys.acm.org/recsys14/registration/ No onsite registration will be available. The main conference is already sold out, but registration for one or both workshop/tutorial days is still possible until capacity is met. Registrants can also still buy tickets for the reception at the Computer History Museum and the conference banquet. ===================================================================== WORKSHOPS AND DOCTORAL SYMPOSIUM ===================================================================== Nine workshops will be organized in conjunction with RecSys 2014, including the RecSys Challenge. Additionally, a doctoral symposium will be held: - RecSys Challenge 2014: User Engagement as Evaluation - REDD: Recommender Systems Evaluation: Dimensions and Design - RecSysTV: Recommendation Systems for Television and Movies - LSRS: Large Scale Recommender Systems: Research and Best Practice - RecSysAB: Controlled Experimentation in Recommendations, Ranking & Response Prediction - CrowdRec: Crowdsourcing and Human Computation for Recommender Systems - IntRS: Interfaces and Human Decision Making for Recommender Systems - CBRecSys: New Trends in Content-based Recommender Systems - RSWeb: Recommender Systems and the Social Web Workshops http://recsys.acm.org/recsys14/workshops/ Doctoral Symposium http://recsys.acm.org/recsys14/doctoral-symposium/ ===================================================================== TUTORIALS ===================================================================== Four tutorials will be offered on the first day of the conference: - Xavier Amatriain: The Recommender Problem Revisited - Huiji Gao, Jiliang Tang, and Huan Liu: Personalized Location Recommendation on Location-based Social Networks - Iván Cantador and Paolo Cremonesi: Cross-Domain Recommender Systems - Ido Guy and Werner Geyer: Social Recommender Systems http://recsys.acm.org/recsys14/tutorials/ ===================================================================== SOCIAL PROGRAM ===================================================================== A reception at the Computer History Museum and a banquet at the conference hotel are being planned. Information about attractions in the neighborhood will be provided.

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* extended * DECISIVe workshop on Dealing with Cognitive Biases in Visualisations
by Geoff Ellis 21 Sep '14

21 Sep '14

** Due to popular demand and the clash with the CHI deadline, the submission deadline has been extended to 26th Sept ** *************************************************************************************** CfP: DECISIVe workshop on Dealing with Cognitive Biases in Visualisations http://decisive-workshop.dbvis.de/ *************************************************************************************** This one-day workshop will be held as part of IEEE VIS 2014, in Paris, 9-14 November IMPORTANT DATES - Submission of extended abstract: 26th Sept ** extended ** - Notifications of acceptance: 6th Oct - Workshop day: 9th Nov SCOPE OF THE WORKSHOP Our inherent reliance on mental shortcuts, or heuristics, sometimes results in deviations in judgment from what rational decision models would predict. These deviations are known as cognitive biases. Heuristics allow us to make “good enough” decisions without expending all of our cognitive effort on the task, however, in critical decision environments, “good enough” is often NOT good enough. Visualisation tools are increasingly adept at making sense of complex data, but researchers who study cognitive biases have come to realise that the quality of decisions made with these tools are often impaired because tool designers fail to address how heuristics and biases operate in a human-computer interactive setting. Despite decades of research on cognitive biases in controlled settings, there is yet no “recipe book” for experimentally-validated tools and techniques to avoid judgment biases when building tools for solving complex problems in the real world. As well as considering software mitigation solutions, we would also like to explore whether the way we visualise data is subject to cognitive biases. We invite participants from a wide range of disciplines such as information visualisation, visual analytics, software engineering, cognitive psychology and decision science, as well as those close to end-user groups like intelligence analysts, to explore some of the ways in which biases impact user performance and share ideas and experiences about practical ways to reduce or overcome these potentially harmful effects. Topics of interest include, but are not limited to: ▪ analytic techniques to mitigate cognitive biases ▪ cognitive biases and information visualisation ▪ integrating cognitive bias mitigation into existing software ▪ measuring susceptibility to cognitive bias ▪ empirical methods for investigating cognitive biases ▪ cognitive biases in collaborative systems ▪ new classification schemes for cognitive biases ▪ persuasive technology ▪ evaluation techniques/methodologies ▪ survey/SOTA The workshop will include invited talks, short individual presentations, panel sessions and group activities and will provide a forum for participants to exchange ideas and establish a roadmap of the state of the art and identify future research potential. We hope to grow this interdisciplinary community to promote future collaboration. SUBMISSIONS We invite authors to submit an extended abstract (about 2 pages) of either a position or technical paper. All submissions will be peer-reviewed and judged on the basis of originality, contribution to the field, and relevance to the workshop. Authors will then be invited to contribute to the workshop through individual presentations and to submit full papers, which will be published in the workshop proceedings. Further details on website. CONTACT For further details please contact Geoffrey Ellis, ellis(a)dbvis.inf.uni-konstanz.de Twitter: @DECISIVe_ws website: http://decisive-workshop.dbvis.de/ ORGANISERS Geoffrey Ellis, University of Konstanz, Germany David Peebles, University of Huddersfield, UK Donald Kretz, Raytheon, USA Gaëlle Lortal, THALES Research & Technology, Paris

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IEEE VIS 2014: Discounted registration ends in two weeks
by G.Elisabeta Marai 18 Sep '14

18 Sep '14

Gentle reminder: IEEE VIS 2014 http://ieeevis.org ****************************************************************************** Discounted registration deadline: Oct 3rd 2014 http://ieeevis.org/year/2014/info/registration/conference-registration The program is now online: http://ieeevis.org/year/2014/info/overview-amp-topics/conference-glance ****************************************************************************** Paris, France 2014 9-14 November 2014 This edition of IEEE VIS will feature: * six exciting panels, from "2D vs 3D" to "Challenges in Financial Visualization": http://ieeevis.org/year/2014/info/overview-amp-topics/accepted-panels * ten insightful tutorials, from "Visualization with Python" to "Best Practice of Visual Design": http://ieeevis.org/year/2014/info/overview-amp-topics/accepted-tutorials * three complementary paper venues; program and video previews are now online: http://ieeevis.org/year/2014/info/overview-amp-topics/accepted-papers All events are accessible through a single registration: http://ieeevis.org/year/2014/info/registration/conference-registration Contact: visreg(a)ieee.org ******************************************************************************* -- Liz -- G. Elisabeta Marai Associate Professor of Computer Science Electronic Visualization Lab University of Illinois at Chicago http://visualizlab.org/people/marai Currently on sabbatical at: Robotics Institute School of Computer Science Carnegie Mellon University

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ESANN 2015: announcement and call for papers
by Michel Verleysen 18 Sep '14

18 Sep '14

ESANN 2015: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges, Belgium, 22-23-24 April 2015 http://www.esann.org/ Call for papers The call for papers is available at http://www.esann.org/. The deadline for submitting papers is November 21, 2014. The ESANN conferences cover machine learning, artificial neural networks, statistical information processing and computational intelligence. Mathematical foundations, algorithms and tools, and applications are covered. In addition to regular sessions, 6 special sessions will be organized on the following topics: - Feature and kernel learning - Graphs in machine learning - Emerging techniques and applications in multi-objective reinforcement learning - Unsupervised nonlinear dimensionality reduction - Beyond classification: confidence, rejection, AUC optimization, etc. - Advances in learning analytics and educational data mining ESANN 2015 builds upon a successful series of conferences organized each year since 1993. ESANN has become a major scientific event in the machine learning, computational intelligence and artificial neural networks fields over the years. The conference will be organized in Bruges, one of the most beautiful medieval towns in Europe. Designated as the "Venice of the North", the city has preserved all the charms of the medieval heritage. Its centre, which is inscribed on the Unesco World Heritage list, is in itself a real open air museum. We hope to receive your submission to ESANN 2015 and to see you in Bruges next year! ======================================================== ESANN - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning http://www.esann.org/ * For submissions of papers, reviews, registrations: Michel Verleysen Univ. Cath. de Louvain - Machine Learning Group 3, pl. du Levant - B-1348 Louvain-la-Neuve - Belgium tel: +32 10 47 25 51 - fax: + 32 10 47 25 98 mailto:esann@uclouvain.be * Conference secretariat d-side conference services 24 av. L. Mommaerts - B-1140 Evere - Belgium tel: + 32 2 730 06 11 - fax: + 32 2 730 06 00 mailto:esann@uclouvain.be ========================================================

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IEEE VIS 2014 CFP: Compass Activities
by G.Elisabeta Marai 15 Sep '14

15 Sep '14

IEEE VIS 2014 http://www.ieeevis.org CFP: Compass Activities IEEE VIS 2014 is proud to offer our attendees activities to socialize and meet fellow VIS researchers through the Compass <http://ieeevis.org/year/2014/info/volunteer/vis-digital-compass> program. One of our goals in organizing the Compass activities at the main IEEE VIS conference is to support the next generation of visualization researchers by helping connect beginning and advanced researchers from the scientific visualization, information visualization and visual analytics communities. The Compass activities are open to all registered IEEE VIS participants, regardless of age and affiliation. The activities are organized by the IEEE VIS Compass Chairs, who can be reached at compass(a)ieeevis.org. To register for these events, please visit the corresponding wiki pages listed below to see the event details. You can directly edit the wiki providing you are registered on the wiki. If you have an account from prior years, you are welcome to use the login information, or create a new account for yourself. Also, there will be a physical poster at the conference venue to remind everyone of what they signed up for, and also to allow anyone to sign up in person for any open slots. Blind Lunch <http://vacommunity.org/VisWeek+Compass+2014> Tuesday, Nov. 11 (during the lunch time slot) This is an informal, planned lunch where more senior members in the visualization community have volunteered one of their lunch slots during the week to meet and socialize with junior researchers. You can sign up for these on the wiki, and a physical poster will be available at the conference to remind everyone about your lunch groups. Also, you will have to opportunity to sign up for any open slots. Meet the Candidate <http://vacommunity.org/VisWeek+'14+Meet+the+Candidate> Tuesday, Nov. 11, 5:00pm – 7:00pm in the posters area This is a poster session where graduating students and postdocs going on the job market present their work. Please sign up for a poster slot with your name and affiliation. Send this information to the compass chairs who will add you to the list and ensure you have a poster space. Please remember to bring your poster, CV, and other material you may want to hand to potential employers. Also, feel free to place a slide at the end of any talk you give during the week inviting audience members to come chat with you at this event. CONTACT For more information contact IEEE VIS 2014 Compass Chairs: Alex Endert, Georgia Tech Daniel Best, Pacific Northwest National Laboratory Mohammad Ghoniem, Centre de Recherche Public - Gabriel Lippmann Email: compass(a)ieeevis.org -- Liz -- G. Elisabeta Marai Associate Professor (adj) Electronic Visualization Lab Department of Computer Science University of Illinois at Chicago

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Extended deadline: 30 Sep (VISUAL2014)
by Kai Xu 15 Sep '14

15 Sep '14

CALL FOR PAPERS Visualizations and User Interfaces for Knowledge Engineering and Linked Data Analytics International Workshop at EKAW 2014, 19th International Conference on Knowledge Engineering and Knowledge Management November 24 or 25, 2014, Linköping, Sweden http://linkedscience.org/events/visual2014/ Motivation and Objectives ========== With data continuously generated as a result of daily activities within organizations and new data sources (sensor streams, linked datasets, etc.) introduced within knowledge management, the growth of information is unprecedented. Providing knowledge engineers and data analysts with visualizations and well-designed user interfaces can significantly support understanding of the concepts, data instances and relationships of different domains. The development of appropriate visualizations and user interfaces is a challenging task, given the size and complexity of the information that needs to be displayed and the varied backgrounds of the users. Further challenges emerge from technological developments and diverse application contexts. There is no "one size fits all" solution but the various use cases demand different visualization and interaction techniques. Ultimately, providing better visualizations and user interfaces will foster user engagement and likely lead to higher-quality results in different areas of knowledge engineering and linked data analytics. This full-day workshop will be divided into two half-day tracks, one in the morning and the other in the afternoon, each focusing on one of the two workshop themes. Track 1: Visualizations and User Interfaces for Knowledge Engineering ========== Visualizations and user interfaces are an integral part of knowledge engineering. They help to bridge the gap between domain experts and data management, and are essential to handle the increasing diversity of knowledge that is being modeled in ontologies, ensuring that it is easily accessible to a wide community. As knowledge-based systems and ontologies grow in size and complexity, the demand for comprehensive visualization and optimized interaction also rises. A number of knowledge visualizations have become available in recent years, with some being already well-established, particularly in the field of ontology development. In other areas of knowledge engineering, such as ontology alignment and debugging, although several tools have recently been developed, few have a user interface, not to mention navigational aids or comprehensive visualization techniques. Other activities, such as data integration, rely on the relationships between the concepts of different ontologies, which not only multiplies the number of objects to be displayed but also compounds the problem with the portrayal of different kinds of relationships between concepts. Topics of interest in this track include (but are not limited to): - visualizations for (large and complex) ontologies - user interfaces for ontology alignment and debugging - visualizations and user interfaces for non-experts - applications of novel interaction techniques (e.g. touch and gesture interaction) - user interfaces for mobile knowledge engineering - requirements analysis for visualizations in knowledge engineering - user interfaces assisting people with disabilities - knowledge visualizations for large displays and high resolutions - user interfaces for collaborative knowledge engineering - case studies of applying visualizations in knowledge engineering - user interfaces and visualizations for linked data - context-aware visualization and interaction techniques Track 2: Visualizations and User Interfaces for Linked Data Analytics ========== New and traditional knowledge practices, digitization of organizational processes, high performance computing and affordable datastores create an unprecedented amount of data as a part of daily organizational activities, at break-neck speed in a variety of formats. Conventional systems struggle to capture, store and analyze such dynamic and large scale data continuously generated. On its own, raw data has little value, but its value and significance is only unleashed when the data is extracted, processed and interpreted. Visual Analytics attempts to address this challenge by harmoniously combining the strengths of human processing and electronic data processing. While semi-automated processes result in generating visualizations, humans can use visual processing and interactions to quickly identify trends, patterns and anomalies from large volumes of visual data. The growing challenges of analyzing big data, social media, linked data, and data streams have created an excellent opportunity for research in Visual Analytics. Topics of interest in this track include (but are not limited to): - interactive semantic systems - design of interactive systems - visual pattern discovery - (semi-)automatic hypothesis generation - augmented human reasoning - novel visualizations of data and metadata - visual approaches for semantic similarity measurement - exploratory information visualization - domain-specific visual analytics - interactive systems in business intelligence - cognition and sensemaking in visual contexts - evaluation of interactive systems Submission Guidelines ========== Paper submission and reviewing for this workshop will be electronic via EasyChair. The papers should be written in English, following Springer LNCS format, and be submitted in PDF. The following types of contributions are welcome: - Full research papers (8-12 pages); - Experience papers (8-12 pages); - Position papers (6-8 pages); - Short research papers (4-6 pages); - System papers (4-6 pages). Accepted papers will be published as a volume in the CEUR Workshop Proceedings series. Important Dates ========== - Submission: September 30, 2014 - Notification: October 21, 2014 - Camera-ready: November 11, 2014 - Workshop: November 24/25, 2014 Organizers ========== - Valentina Ivanova, Linköping University, Sweden - Tomi Kauppinen, Aalto University, Finland, and University of Bremen, Germany - Steffen Lohmann, University of Stuttgart, Germany - Suvodeep Mazumdar, The University of Sheffield, UK - Catia Pesquita, University of Lisbon, Portugal - Toomas Timpka, Linköping University, Sweden - Kai Xu, Middlesex University, UK

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CfP: DECISIVe: Dealing with Cognitive Biases in Visualisations - a Vis2014 workshop
by Geoff Ellis 11 Sep '14

11 Sep '14

Extended abstract only due 19th Sept *************************************************************************************** CfP: DECISIVe workshop on Dealing with Cognitive Biases in Visualisations http://decisive-workshop.dbvis.de/ *************************************************************************************** This one-day workshop will be held as part of IEEE VIS 2014, in Paris, 9-14 November IMPORTANT DATES - Submission of extended abstract: 19th Sept - Notifications of acceptance: 6th Oct - Workshop day: 9th Nov SCOPE OF THE WORKSHOP Our inherent reliance on mental shortcuts, or heuristics, sometimes results in deviations in judgment from what rational decision models would predict. These deviations are known as cognitive biases. Heuristics allow us to make “good enough” decisions without expending all of our cognitive effort on the task, however, in critical decision environments, “good enough” is often NOT good enough. Visualisation tools are increasingly adept at making sense of complex data, but researchers who study cognitive biases have come to realise that the quality of decisions made with these tools are often impaired because tool designers fail to address how heuristics and biases operate in a human-computer interactive setting. Despite decades of research on cognitive biases in controlled settings, there is yet no “recipe book” for experimentally-validated tools and techniques to avoid judgment biases when building tools for solving complex problems in the real world. As well as considering software mitigation solutions, we would also like to explore whether the way we visualise data is subject to cognitive biases. We invite participants from a wide range of disciplines such as information visualisation, visual analytics, software engineering, cognitive psychology and decision science, as well as those close to end-user groups like intelligence analysts, to explore some of the ways in which biases impact user performance and share ideas and experiences about practical ways to reduce or overcome these potentially harmful effects. Topics of interest include, but are not limited to: ▪ analytic techniques to mitigate cognitive biases ▪ cognitive biases and information visualisation ▪ integrating cognitive bias mitigation into existing software ▪ measuring susceptibility to cognitive bias ▪ empirical methods for investigating cognitive biases ▪ cognitive biases in collaborative systems ▪ new classification schemes for cognitive biases ▪ persuasive technology ▪ evaluation techniques/methodologies ▪ survey/SOTA The workshop will include invited talks, short individual presentations, panel sessions and group activities and will provide a forum for participants to exchange ideas and establish a roadmap of the state of the art and identify future research potential. We hope to grow this interdisciplinary community to promote future collaboration. SUBMISSIONS We invite authors to submit an extended abstract (about 2 pages) of either a position or technical paper. All submissions will be peer-reviewed and judged on the basis of originality, contribution to the field, and relevance to the workshop. Authors will then be invited to contribute to the workshop through individual presentations and to submit full papers, which will be published in the workshop proceedings. Further details on website. CONTACT For further details please contact Geoffrey Ellis, ellis(a)dbvis.inf.uni-konstanz.de Twitter: @DECISIVe_ws website: http://decisive-workshop.dbvis.de/ ORGANISERS Geoffrey Ellis, University of Konstanz, Germany David Peebles, University of Huddersfield, UK Donald Kretz, Raytheon, USA Gaëlle Lortal, THALES Research & Technology, Paris

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