The three primary thrusts of this paper are: first, that people do not think enough about their own privacy, in particular, they may not know enough about their privacy that they can really make informed decisions about sharing information; second, that technologies exist that can mitigate some of the problems associated with information sharing; and third, that services (in addition to to technologies) might be a reasonable way to think about addressing the privacy problem.

This paper reports the results of a 6-month deployment of a 65-node multi-hop network in a vineyard setting. This deployment specifically looked to discover ways in which a farm setting could find a return on investment for deploying such a network. Our ongoing collaborations of over two years ultimately have included everyone from the vineyard owners to the technology developers. We have been able to find several areas where wireless sensor networks deliver valuable information and provide a return on investment.

Planet Oit is a multiuser virtual environment used to teach geologic concepts and the scientific method. It is built on a structured system of modules and goals arranged so that students have freedom, but have direction as well. Intelligent software tutors explain geologic concepts, guide the players in achieving their goals, and assist them in understanding the environment. Planet Oit and its system of goals, tutors, and scaffolding are described.

This paper describes handicapped accessible text-to-speech markup software developed for poetry and performance. Most text-to-speech software allows the user to select a voice, but provides no control over performance parameters such as rate, volume, and pitch. For users with vocal disabilities, the default “computer voice ” is often dreaded since it provides no personalization. Evolving standards exist for text-to-speech markup (Sable, Java Speech Markup Language, Spoken Text Markup Language), but few tools exist for non-experts to modify documents using these prosody options [1, 5]. Furthermore, we could find fewer tools allowing for straightforward live performance using a synthesized voice [3]. Thus we created an easy to learn text-to-speech markup tool that requires little training to use.