These lectures are *free* and open to the public. No reservations are needed.
For questions or comments, contact HCIL information at firstname.lastname@example.org.
The talks are all taking place in the new Computer Science Instructional Center (CSIC) on campus. If you need directions, please go to: www.inform.umd.edu/CampusInfo/Facilities/Buildings/CSIC/ . Parking is available in the hourly lot across from the AV Williams Building on Paint Branch Drive.
|Fall 2003 Series|
H. Flowers, Professor / University
of Nebraska-Lincoln, Department of Psychology
Associate Research Professor/ Carnegie Mellon
University, School of Computer Science, Human
Computer Interaction Institute
Andrienko / Manager Technology/ Fraunhofer
Institut Autonome Intelligente Systeme, Spatial Decision Support Team
Eisenberg, Associate Professor/ University of Colorado at
Boulder, Cognitive Science
Institute, Computer Science-Admin
While it has not yet gained widespread acceptance, the representation of quantitative data through sound is a promising new tool for scientific discovery, education, and communication that is potentially available to nearly anyone with a personal computing device. As is true with the development of computer visualization techniques, the production of effective auditory display technology will require tight collaboration between experts in computer and software technology and cognitive scientists familiar with the properties and limitations of human attention and perception. Dr. Flowers’ presentation will present examples of recent research on the auditory representation of statistical properties of relatively “simple” numeric data sets, as well as sonification of more complex multivariate time series data such as climate records. His presentation will also outline some avenues of future research on facilitating human decisions concerning complex data and development of assistive technology for blind and visually impaired individuals.
With today's wireless technologies, such as BlueTooth and IEEE 802.11, connecting handheld computers and conventional computers together are becoming no longer an occasional event for synchronization. Instead, the devices are frequently in close, interactive communication. Many environments, such as offices, meeting rooms and classrooms, already contain computers, and the smart homes of the future will have ubiquitous embedded computation. Household and office appliances will soon have wireless communication abilities. When the user enters one of these environments carrying a handheld or wearable computer, how will that computer interact with the environment? The Pebbles project is exploring the many ways that small handheld Personal Digital Assistants (PDAs) such as PalmOS devices or Pocket PC / Windows CE devices can serve as a useful adjunct to the "fixed" computers in those situations. For meetings, our applications allow the presenter to use a PDA to have better control of presentations, and allow the audience to actively participate with their own PDAs. For the office, other Pebbles applications allow the PDA to be used as an extra input and output device. For the home, we are exploring the use of the PDA as a customizable, intelligent "personal universal controller" (PUC) for appliances. For classrooms, we are investigating how the students' handhelds can enhance testing and notetaking when they are connected to the instructor's PC. For the disabled, we are investigating how PDAs can serve as assistive devices for access to computers and appliances. This talk will provide an overview of our Pebbles project, including a live demonstration of our systems (available for download from our web site) and a discussion of future plans.
The importance of exploratory data analysis
(EDA) as a prerequisite to application of computational methods, such as traditional statistical analysis, is currently widely
recognized. The goal of EDA is to gain understanding of data, i.e. to penetrate into relationships, patterns, and trends hidden inside data and to formulate hypotheses that can later be checked using statistical methods. Preliminary investigation of
data must also precede their preparation to processing by various computation-based analysis tools, such as data mining.
Still, interactive techniques and tools can support information exploration and knowledge construction only when users are able to properly
utilize these instruments. User studies demonstrate that effective use of the novel techniques requires learning of the new concepts and ideas. Users are able to understand and adopt the new ideas concerning map interactivity and manipulability. However, these ideas needed to
be appropriately introduced; people could not grasp them just from the appearance of the maps and controls.
Educational computing has a (partially deserved) reputation of "virtualizing" children's lives--of distancing children from experience with the physical world. This talk, in contrast, will describe a variety of novel ways in which computational media can be combined with all sorts of physical materials to enhance the practice of both traditional and non-traditional educational crafts. The talk will describe a variety of projects in our Craft Technologies Group at the University of Colorado. In these projects, we attempt to design educationally rich activities that blend together new types of computational media, output devices, and physical stuff.