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 | Finishing up the Course
Assignment 13 is due: Tuesday, Dec 4, 9:00am (Caleb: thanks for pointing out the inconsistency)
Class Meeting on Dec 5: 5-7 participants will be selected (via a lottery) to present their homework in class –> this means: ALL of you have to be prepared to give a 7-10 minutes presentation about the thesis which you selected for evaluation; please make sure that you provide a description of the work which takes the different background knowledge of the class participants into account
Assignment 14 is due: Tuesday, Dec 11, 9:00am
Class Meeting on Dec 12: 5-7 other participants will be selected (via a lottery) to present their homework in class –> this means: ALL of you have to be prepared to give a 7-10 minutes presentation about YOUR own envisioned thesis work; please make sure that you provide a description of your work which takes the different background knowledge of the class participants into account
Final Questionnaire: due via email: Monday, Dec 17, 8:00am; (late returns can not be accepted)
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| our class will meet on 10:00am at the offices of:
Google Boulder
2590 Pearl Street
Boulder, CO 80302
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| please check the updated schedule and assignments
Assignments 13 and 14 require more effort – so it is a good idea to get started on them as soon as possible!
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| check out Assignment 9 –> and schedule an interview with your advisor asap!
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| Participants of Graduate Student Panel on 10 October 2007:
students:
- Ian Karlin (advisor: Elizabeth Jessup)
- Suzanne Renick Gallagher (advisor: Hal Gabow)
- Sebastian Dela Chica (advisor: Tamara Sumner)
- Steven Bethard (advisor: James Martin)
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| Creativity Support Tools: Accelerating Discovery & Innovation
Dr. Ben Shneiderman
Professor and Founding Director of the Human-Computer Interaction Laboratory
Department of Computer Science, University of Maryland
Institute of Cognitive Science Colloquium
12:00 noon
ICS Conference Room,
MUEN Psychology Blding D430/428
Creativity Support Tools is a research topic with high risk but potentially very high payoff. The goal is to develop improved software and user interfaces that empower diverse users in the sciences and arts to go beyond productivity and be more creative. Potential users include a combination of software and other engineers, diverse scientists, product and graphic designers, and architects, as well as writers, poets, musicians, new media artists, and many others.
Enhanced interfaces could enable more effective searching of intellectual resources, improved collaboration among teams, and more rapid discovery processes. These advanced interfaces should also provide potent support in goal setting, speedier exploration of alternatives, improved understanding through visualization, and better dissemination of results (demos will be shown). For creative endeavors that require composition of novel artifacts (computer programs, engineering diagrams, symphonies, animations, artwork), enhanced interfaces could facilitate rapid exploration of alternatives, prevent unproductive choices, and enable easy backtracking.
This talk provides a framework for systematic study of creativity. Two key issues are (1) Formulation of guidelines for design of creativity support tools (2) Novel research methods to assess creativity support tools.
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| The Thrill of Discovery: Information Visualization for High-Dimensional Spaces
Ben Shneiderman, University of Maryland
In this colloquium, Professor Shneiderman introduced the concept of information visualization and presented the research achievement in his Human-Computer Interaction Lab.
Information visualization is a good approach to assisting the user in observing the data distribution in chosen feature space. It is the presentation of abstract data in a graphical form so that the user may use his visual perception to evaluate and analyze the data. Professor Shneiderman presented his information visualization research with different data type: 1-D Linear, 2-D Map, 3-D world, multi-var, Temporal, tree and Network. Professor Shneiderman also introduced the Interactive Exploration Tool of Multidimensional Data, Hierarchical Clustering Explorer (HCE), which applies the hierarchical clustering algorithm without a predetermined number of clusters, and then enables users to determine the natural grouping with interactive visual feedback (dendrogram and color mosaic) and dynamic query controls.
Through the Information visualization, we can present data to users, by means of images instead of abstract data. And then help users to improve understanding of the data being presented.
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