Perceptual user interfaces (PUIs) are an important part of ubiquitous computing. Creating such interfaces is difficult because of the image and signal processing knowledge required for creating classifiers. We propose an interactive machine-learning (IML) model that allows users to train, classify/view and correct the classifications. The concept and implementation details of IML are discussed and contrasted with classical machine learning models. Evaluations of two algorithms are also presented. We also briefly describe Image Processing with Crayons (Crayons), which is a tool for creating new camera-based interfaces using a simple painting metaphor. The Crayons tool embodies our notions of interactive machine learning.

Since its creation, the Cooperative Inquiry method of designing technology with and for children has been refined, expanded, and sometimes questioned. Cooperative Inquiry has been adopted and used widely throughout the world and continues to evolve and grow to meet current needs. This paper examines the origins of Cooperative Inquiry, discusses how it has changed since its original inception, and clarifies the intent of its techniques. This paper concludes by presenting how Cooperative Inquiry can support designing with and for today's international, independent, interactive, and information active children in the context of the developing world, mobile computing, social computing, and the ubiquity of search.

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Children are among the most frequent users of the Internet, yet searching and browsing the web can present many challenges. Studies over the past two decades on how children search were conducted with finite and predetermined content found in CD-ROM applications, online digital libraries, and web directories. However, with the current popularity of the open Internet and keyword-based interfaces for searching it, more critical analysis of the challenges children face today is needed. This paper presents the findings of our initial study to understand how children ages 7, 9, and 11 search the Internet using keyword interfaces in the home. Our research has revealed that although today's children have been exposed to computers for most of their lives, spelling, typing, query formulation, and deciphering results are all still potential barriers to finding the information they need.

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