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The debate concerning how many participants represents a sufficient number for interaction testing is well-established and long-running, with prominent contributions arguing that five users provide a good benchmark when seeking to discover interaction problems. We argue that adoption of five users in this context is often done with little understanding of(More)
BACKGROUND AND PURPOSE The realization of Health Information Systems (HIS) requires rigorous evaluation that addresses technology, human and organization issues. Our review indicates that current evaluation methods evaluate different aspects of HIS and they can be improved upon. A new evaluation framework, human, organization and technology-fit (HOT-fit)(More)
Security software is often difficult to use thus leading to poor adoption and degraded security. This paper describes a usability study that was conducted on the software 'Polaris'. This software is an alpha release that uses the Principle of Least Authority (POLA) to deny viruses the authority to edit files. Polaris was designed to align security with(More)
Enterprise Application Integration (EAI) technologies support a direct move away from disparate systems operating in parallel towards a more common shared architecture, where systems evolve and merge together. Such an emergence however, presents a paradigm shift in the way that Information System (IS) lifecycles are viewed. The integration of IS in-line(More)
Knowledge domain visualization is a visual exploratory approach to the study of the development of a knowledge domain. In this study, we focus on the practical issues concerning modeling and visualizing scientific revolutions. We study the growth patterns of specialties derived from citation and cocitation data on string theory in physics. Special attention(More)
—Knowledge discovery and data mining commonly rely on finding salient patterns of association from a vast amount of data. Traditional citation analysis of scientific literature draws insights from strong citation patterns. Latent domain knowledge, in contrast to the mainstream domain knowledge, often consists of highly relevant but relatively infrequently(More)