In almost all computer applications, users must enter correct words for the desired objects or actions. For success without extensive training, or in first-tries for new targets, the system must recognize terms that will be chosen spontaneously. We studied spontaneous word choice for objects in five application-related domains, and found the variability to be surprisingly large. In every case two people favored the same term with probability <0.20. Simulations show how this fundamental property of language limits the success of various design methodologies for vocabulary-driven interaction. For example, the popular approach in which access is via one designer's favorite single word will result in 80-90 percent failure rates in many common situations. An optimal strategy, unlimited aliasing, is derived and shown to be capable of several-fold improvements.

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SuperBook is a hypertext browsing system designed to improve the usability of conventional documents. Successive versions of SuperBook were evaluated in a series of behavioral studies. Students searched for information in a statistics text. presented either in conventional printed form or in SuperBook form. The best version of SuperBook enabled students to answer search questions more quickly and accurately than they could with the conventional text. Students wrote higher quality "open-book" essays using SuperBook than they did with the conventional text, and their subjective ratings of the documentation strongly favored SuperBook.This work is a case study of formative design-evaluation. Behavioral evaluation of the first version of SuperBook showed how design factors and user strategies affected search and established baseline performance measures with printed text. The second version of SuperBook was implemented with the goal of improving search accuracy and speed. User strategies that had proved effective in the first study were made very easy and attractive to use. System response time for common operations was greatly improved. Behavioral evaluation of the new SuperBook demonstrated its superiority to printed text and suggested additional improvements that were incorporated into "MiteyBook," a SuperBook implementation for PC-size screens. Search with MiteyBook proved to be approximately 25 percent faster and 25 percent more accurate than that obtained with a conventional printed book.

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A challenge facing many schools, especially those in urban settings that serve culturally and linguistically diverse populations, is a disconnection between schools and students' home communities, which can have both cognitive and affective implications for students. In this article we explore a form of “connected science,” in which real‐world problems and school‐community partnerships are used as contextual scaffolds for bridging students' community‐based knowledge and school‐based knowledge, as a way to provide all students opportunities for meaningful and intellectually challenging science learning. The potential of these scaffolds for connected science is examined through a case study in which a team of fifth‐grade teachers used the student‐identified problem of pollution along a nearby river as an interdisciplinary anchor for teaching science, math, language arts, and civics. Our analysis makes visible how diverse forms of knowledge were able to support project activities, examines the consequences for student learning, and identifies the features of real‐world problems and school–community partnerships that created these bridging opportunities. © 2001 John Wiley & Sons, Inc. J Res Sci Teach 38: 878–898, 2001