Co-creation of Knowledge in Technology-Enhanced Communities of Learning

Host name: 
Shenkar, College of Engineering, Design and Art.
Event location: 
אודיטוריום 2000, בניין מיטשל: ידע-עם 8, רמת-גן

IsVIS 2016

Wednesday, February 17, 2016 - 15:30

As vast amounts of data are being produced and are made available and accessible, it becomes more and more important to devise new tools to process and understand this data. Information visualization deals with transforming data into a visual form enabling to better explore, make sense, understand and explain the information. This is vital in today's current knowledge economy where information and knowledge have become crucial for gaining a competitive edge, especially in public policy, business, scientific research, and decision making processes.

Information visualization is a multidisciplinary area that involves both engineers, designers and psychologists. Engineers handle the information technology aspect, designers bring visual communication and representation to the table, and psychologists study how humans learn and interpret visuals. Thus, knowledge from the engineering, design and psychology disciplines is crucial in making a successful visualization.

Following the success of last year's ISVIS, we are happy to announce the 2nd ISVIS workshop to be collocated with IsraHCI 2016. The workshop's objective is to bring together engineers, designers and psychologists, both researchers and practitioners, as well as anyone else who is interested in different aspects of information visualization. We intend on highlighting the various research and practice that is done in Israel in this area, creating a place to hear and discuss the different related topics, as well as meet and collaborate with others.

Program
 

15:30 - 16:00 Gathering and registration

16:00 - 16:10 Welcome greetings

16:10 - 17:10 First session: Design aspects of visualizations

Mushon Zer-Aviv, Shenkar - If everything is a network, nothing is a network

Abstract: How the simplistic network diagram came to dominate our imagination and why we shouldn't blindly go with the flow.

Matan Stauber, Bezalel - Historiography

Abstract: Timeline is one of the most popular ways of visualising history, but they are usually limited to a specific time period.
Historiography is an interactive timeline of history, from the big bang to 2015, that is not limited to a specific period, allowing to focus on a decade or billion of years.
The site draws historical events from Wikipedia and self-updates daily with new recorded events. http://histography.io

Shenkar Students - InfoGraphic projects

Abstract: TBD

17:10 - 17:30 Coffee break

17:30 - 18:30 Second session: Applied Information Visualizations

Gilad Saadoun, IBM Research - Visualisation to improve operational efficiency in mining

Abstract: The price-drop of natural resources, such as metals and minerals, has created intensive competition and lower profit margins in the mining industry To meet these conditions, mining companies strive to improve and maximize operational efficiency. Our work introduces a visualisation approach to cope with some of these challenges. Our visualization technique, called Cycle Flow Viewer, helps detect and identify root causes to operational patterns that need improvement. We demonstrate and explain how we iteratively improved our technique to meet the needs of a client in the mining industry.

Ofer Arazy, University of Haifa - Visualizing online collaboration

Abstract: The "Collaboration DNA" -or simply, coDNA - visualization (http://www.codna.org/) aims to present complex temporal dynamics of large-scale online collaborations. This is part of an inter-disciplinary effort to develop theoretical understanding of peer-production, where the visualizations are employed as an insight-generation tool (later to be followed up with quantitative modelling approaches). Inspired by approaches from the sequencing of DNA, we have developed a set of visualizations to capture the interactions between contributors, the roles they play, the tasks they perform, and the evolving knowledge-based product. We currently use data extracted from Wikipedia to demonstrate the tool capabilities.

Pazit Benjamin, Microsoft - Tools to visualize data

Abstract: Whilst data visualization serves a modern need to help analyse and understand data, it actually dates back millennia. The earliest known example of data visualization was the use of clay tokens for tax accounting purposes by the empires of Mesopotamia in 5500 BC. Like in those ancient times, today's need for clear data visualization is as equally important and powerful - used for making business, political and research decisions.Contrary to the needs served by data visualization which have changed little through time, the tools and raw materials which are utilized have evolved drastically. This has taken us away from the physical materials that were once used for basic accountancy, to current digital artefacts, used for handling 'big data'.The objectives of my talk are to map the history of data visualization via the prism of needs, raw materials, tools, and methods. To question today's tools, and what they are likely to evolve into. During the talk I will throw in some of my experiences as a UX Designer of one of these new digital tools (Microsoft – Power BI).

Bella Gotie, InfoServiz - Useless: common problems in dashboard design

Abstract: Dashboards have become a popular means to present critical information at a glance, but few do so effectively. When designed well, dashboards engage the power of visual perception to communicate a dense collection of information efficiently, with exceptional clarity. This can only be achieved, however, by applying visual design skills that address the unique challenges of dashboards. We will expose the same common problems in dashboard design and examples of effective design through explanation what works, what doesn't, and why.

18:30 - 19:00 Light dinner (provided)

19:00 - 20:00 Third session: Cognitive aspects of visualization

Yael Albo, University of Haifa - Composite indicator visualization

Abstract: Construction of a new national ICT index challenged us to seek for a practical and satisfying visualization solution for a Composite Indicator (CI). A CI is a measurement and benchmarking tool used to reflect and measure multi-dimensional concepts such as Information and Communication Technology (ICT) usage, individual's well-being and more. Indicators are selected and combined to reflect the phenomena being measured. Measurement iterations produce a series of time-oriented data, which stakeholders as well as the general public might be interested to interpret. Visualization of a CI is highly recommended in order to ease interpretation. Yet there is a lack in guidelines for designing effective and engaging CIs visualization. Out of the various ways to visualize CIs, radial visualizations are a common way of representing the multidimensionality of the indicators. However it is unclear how to visualize the temporal dynamics in radial diagrams. In order to make a step towards filling this gap, we conducted two controlled experiments using formal task taxonomy adjusted to CI tasks on a real world dataset. In the first experiment, the popular Radar chart was compared to two other radial visualization methods: Flower-charts as used in the well-known OECD Better Life Index, and Circle-charts which could be adopted for this purpose. Results indicate that Radar chart was the least effective and least liked, while performance of the two other options were mixed and dependent on the task. In second experiment, we compared static vs. dynamic time mapping using Radar and Flower charts. Results indicate that static time encoding was more effective than dynamic encoding. Still, an in depth analysis showed that the dynamic approach is a feasible and sometimes even better solution for important CIs tasks, leveraged by the fact that users seem to like and enjoy it. Radar charts were found to be less effective than the Flower chart independently on the time mapping, supporting results found in first experiment. Implementation of CIs visualization design guidelines can be seen in the recent Israel ICT Index.

Billie Eilam, University of Haifa - Visual representations of information: do educational systems meet the challenge?

Abstract: Visual Representations of Information: Do Educational Systems Meet the Challenge? Today's students are constantly exposed to an abundance of information displayed alongside texts via rich, varied representation types – such as graphs, maps, illustrations, 3-D models or simulations. Generally, to be effective, information should be perceived and processed, becoming knowledge, which is then stored for later retrieval and mindful use in similar or novel situations. Effective visual representations of knowledge alongside texts have been shown to promote thinking and to support learning about diverse phenomena of differing complexity levels. However, to be able to fully utilize these representational affordances, learners should not only obtain the relevant background knowledge in the represented domain but also should explicitly acquire the meta-representational capabilities (MRCs) necessary for creating, critiquing, comprehending and manipulating the representations themselves. Moreover, representational designs should undergo thoughtful planning to consider not only aesthetics but also human perception and cognition. Contemporary visual representations are becoming increasingly complex, offering intricate multi-media and infographics displays rather than single representations of simple information. This rapid growth in multifaceted representations' sophistication and frequency within learning materials and global information exposure calls for educators and representation designers to deepen understanding of learners' MRC in order to devise optimal skill training and tools for continuous MRC development along the lifespan. The state-of-the-art in MRC education and research will be discussed.

Yony Epshtein, Inigo & Smartmoves - Smart visualization - a learning and constant improvement tool for the information industry

Abstract: לכלי ניתוח מידע ויזואליים יש השפעות קוגניטיביות שונות ורבות על אנשים. בתור מומחה למערכות מידע אשר עובד כבר למעלה מעשר שנים בתעשייה ומטמיע מערכות אלה, אני רואה זאת לעיתים קרובות.

בפרויקט האחרון בו עבדתי בתעשיית הציוד הרפואי, התבקשתי לבנות מערכת BI למנהלי ועובדי החברה שתכיל כחמישה עולמות תוכן שונים ובהם ייצור ,שרשרת אספקה ,מכירות ,כספים ואבטחת איכות. דגש ספציפי הושם על תחום תלונות הלקוח שהינו משמעותי בתעשייה זו. המערכת כיום הינה חלק אינטגרלי מתהליך העבודה של הצוות שמטפל בתלונות לצורך קבלה וחקירת התלונה והערכת הסיכון שלה על המוצר והחולים שמשתמשים בו.

את המערכת פיתחנו על מחסן נתונים מבוסס כלי מייקרוסופט וכלי ויזואליזציה שישלימו את העבודה בצורה מיטבית. בחרנו בTableau-, כלי שפותח מתוך מחקר בסטנפורד על יכולות המוח לתפוש מקסימום מידע במינימום שטח ויזואלי וזמן. הכלי גם מאפשר עצמאות למגוון הלקוחות שהיו למערכת בחברה אשר כל אחד מהם בעל רקע וידע שונים ותפישה שונה של מידע.

הבנת האדם והקוגניציה שלו, כמו גם הרקע והתרבות שלו, מאפשרת את העברת המידע המוצג, וקליטתו בצורה יעילה. ניתן לשפר זאת בארגון באותו האופן בו מאמן בספורט מוביל את חניכיו להישגים.

עבודתי בעשור האחרון בהוראה של ילדים בספורט ולימודיי באקדמיה של קואורדינציה, הוראה וחינוך יחד עם הרקע המערכתי הביאו אותי לתובנות הללו ועזרו לי ביישום המערכת וניהול הפרויקט.