This paper reports on TaskTracer -a software system being designed to help highly multitasking knowledge workers rapidly locate, discover, and reuse past processes they used to successfully complete tasks. The system monitors users' interaction with a computer, collects detailed records of users' activities and resources accessed, associates (automatically or with users' assistance) each interaction event with a particular task, enables users to access records of past activities and quickly restore task contexts. We present a novel Publisher-Subscriber architecture for collecting and processing users' activity data, describe several different user interfaces tried with TaskTracer, and discuss the possibility of applying machine learning techniques to recognize/predict users' tasks.

Current approaches to presentation of mathematics (on paper or in electronic format) have usability drawbacks that make learning and appreciation of mathematics challenging and often frustrating. We propose a development of a software user toolkit aimed to facilitate the creation of highly usable and effective presentations of mathematical ideas. In this paper we identify three problems which readers of math documents usually experience, and give a vision of how we might address those problems by designing a more interactive and intelligent interface.

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In this demo, we will present two prototypes of digital information portals developed using a new common framework: The High Performance Computing Virtual Consultant and the Tsunami Digital Library. This framework supports the creation of digital library portals that include not only local data but distributed content that is not under the control of the portal maintainers, such as remote web sites. The framework provides a common user interface across all resources, even if the resources are served by a remote web site. Furthermore, the framework contains features that support effective low maintenance operation and intelligent learning search and layout algorithms.