CHI 2004
System-level interaction design for scientific discovery has been gaining interest due to potential payoff in applications such as biomedical discovery, nano-materials and telecommunications. With growing data streams and the complexity of discovery tasks, we see demand for integrating digital media and communications (Internet, WiFi, SMS and Multimedia) and the opportunity for ambient interfaces using interaction methods that are usually taken for granted such as perception, insight and analogy.

Our goals are to help investigators and innovators "see the big pictures", to make non-obvious connections, have data at the point-of-decision, and to solve problems creatively. We also want to search for solutions to interesting questions such as:

How do we significantly reduce information while maintaining meaning?
How to extract patterns from massive and growing data resources?
How to share scientific data without sacrificing privacy or research value?
How to design common information spaces for collaboration enabled by ambient interfaces?


The objective of this one-day workshop is to gather a small group of scientists and HCI professionals in one room and explore the future of Ambient Intelligence for the new needs in scientific discovery. To maximize group interaction, we plan to allow 15 minutes for each oral  presentation, with time throughout the day for discussions, coffee breaks and a lunch. We plan to reserve discussion and brainstorming sessions in the afternoon, followed by setting an action agenda at the close.

Topics of interest of the Workshop include, but not limited to:
  • ambient interfaces for information reduction

  • perception-based data mining

  • ambient problem solving environments

  • discovery languages

  • interactive visualization

  • discovery agents

  • data privacy in scientific discovery

  • scientific reasoning

  • multi-modal ambient collaboration


Submission:

You are invited to submit extended abstracts of 2 to 3 pages (Letter or A4 paper) which will be selected for oral presentations. Submitted abstracts must be original, proposing significant contributions to Ambient Intelligence for Scientific Discovery. We are looking for 1) novelty, e.g. new interfaces, 2) paradigms or methods, e.g. perception, heuristics in scientific discovery, and 3) real-world experience, e.g. case studies. Submitted abstract must be formatted according to the style of CHI publications. See http://www.chi2004.org/res/CHI04PubsFormat.doc for formatting information. All extended abstracts selected for this Workshop will be peer-reviewed and published online before the Workshop. A PDF version of your extended abstract should be submitted using either the online interface at http://flan.blm.cs.cmu.edu/amdi04/upload.html, or by email to Yang Cai <ycai@cmu.edu> and Judith Klein-Seetharaman <judithks@cs.cmu.edu>.

After the Workshop, the program committee will invite participants to expand their extended abstracts to submit complete articles for a planned proceedings.

Important Dates:

Email Extended Abstracts 23 February, Monday, 2004
Author notification 1 March, Monday, 2004
Workshop 25 April, Sunday, 2004


Organizing Committee:

Co-Chairs:
Yang Cai, Carnegie Mellon University, USA, <ycai@cmu.edu>
Judith Klein-Seetharaman, Forschungszentrum Juelich, Germany,<judithks@cs.cmu.edu>

Workshop Program Committee:

Elena Zudilova, University of Amsterdam, Netherlands
Gregory O'Hare, University College Dublin, Ireland
Peter Jones, Redesign Research, Dayton, USA
Yongxiang Hu, NASA Langley Research Center, VA, USA
Binh Pham, Queensland University of Technology, Australia
Tony Adriaansen, Telecommunications & Industrial Physics CSIRO, Australia

Contact

Yang Cai
Human-Computer Interaction Institute
School of Computer Science
Carnegie Mellon University
Email: ycai@cmu.edu
Office: 5000 Forbes Ave
Pittsburgh, PA 15213
Tel: 412-268-1518
Fax: 412-268-1266

Judith Klein-Seetharaman
Research Institute Jülich
Forschungszentrum Jülich
IBI-2: Institut fuer Biologische Strukturforschung
D-52425 Jülich
Germany
Email: judithks@cs.cmu.edu
Phone: +49-2461-61-2030
FAX : +49-2461-61-2020


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