Deep Blue: A Usability Assessment
Winter 2006 - Client: University of Michigan Library System
SI 622 "Evaluation of Systems and Services"
Ayça Aksu, Mark Bard, Craig Kussmaul, Jodi Tyron
Deep Blue is a digital repository, designed to serve the University of Michigan's scholarly community in preserving its intellectual work. It provides a permanent, safe, and accessible environment for university affiliates to store, index, preserve, and redistribute a vast array of digital information including journal articles, datasets, audio and video files, images, and course-related materials.
As part of a semester-long class project, our team evaluated usability, functionality and aesthetics of Deep Blue using seven different techniques: generalized transition network, personas and scenarios, comparative evaluation, survey, heuristic evaluation, usability evaluation, and vocabulary analysis. By doing all these methods on a single product, we learned not only how to do the methods but also which methods would give us what answers for what kind of effort.
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