http://idea.library.drexel.edu/handle/1860/738 http://idea.library.drexel.edu/retrieve/4823 http://idea.library.drexel.edu/handle/1860/738 Search the Channel search http://idea.library.drexel.edu/simple-search http://idea.library.drexel.edu/handle/1860/2779 Title: SAMSTAR: A Semi-Automated Lexical Method to generate Star Schemas from an ERD <br/> <br/>Authors: Khare, Ritu; Song, Il Yeol; An, Yuan http://idea.library.drexel.edu/handle/1860/2778 Title: LOQAS-- Med <br/> <br/>Authors: Athenikos, Sofia J.; Han, Hyoil; Brooks, Ari D. http://idea.library.drexel.edu/handle/1860/2777 Title: Predicting Software Change Coupling <br/> <br/>Authors: Dondero, Robert M.; Hislop, Gregory W. http://idea.library.drexel.edu/handle/1860/2776 Title: Perceptions of Job Skills in Competitive Intelligence Workers <br/> <br/>Authors: Chuang, Katherine http://idea.library.drexel.edu/handle/1860/2775 Title: Context-Centered Design: Bridging the Gap between Designing and Understanding <br/> <br/>Authors: Chen, Yunan http://idea.library.drexel.edu/handle/1860/2774 Title: Visualizing Research Themes in Radiological Applications for Breast Cancer Detection, Diagnosis and Treatment <br/> <br/>Authors: Li, Guisu; McCain, Katherine http://idea.library.drexel.edu/handle/1860/1620 Title: Differences in user-centeredness in a large R&D organization <br/> <br/>Authors: Allendoerfer, Kenneth R. <br/> <br/>Abstract: Many organizations employ formal methodologies for developing systems and software. Formal methodologies help ensure that systems meet requirements, increase the predictability of outcomes, help manage complexity, and reduce risk. Expertise and certification in prominent methods can also serve promotional purposes for the organization. Despite these benefits, there appears to be much less methodological standardization in how organizations engage in user-centered activities, such as user interface design and usability testing. This study examines this issue in a single large research and development organization that emphasizes formal methodology in its software development. The study examined why different projects within the organization engaged in different amounts and types of user-centered activities. We interviewed system engineers and human factors engineers involved with four different system development projects. We developed case studies for each project and identified several trends. First, user-centered activities are sometimes seen as being more expendable than other parts of the development process and therefore are more likely to be cut when delays or cost overruns occur. Second, when the formal methodology did not specifically include steps for user-centered design or usability testing, it was difficult for engineers to incorporate such activities because there was nowhere to put them due to resource constraints. Finally, several participants reported that their projects included user-centered activities mainly because the system engineers had first been exposed to human factors on earlier projects. http://idea.library.drexel.edu/handle/1860/1619 Title: Determinants of engagement in an online community of inquiry <br/> <br/>Authors: Waters, James <br/> <br/>Abstract: This presentation discusses an analysis of engagement in a discussion forum for an online Community of Inquiry. Learners in this study did not show an expected "cycle of inquiry" like behavior. Moreover students readily recognize important or interesting contributors and these judgments are not based on superficial elements such as frequency or length of contributions but are based on factors such as the content of the contribution and the role adopted by the contributors. http://idea.library.drexel.edu/handle/1860/1618 Title: How do design and evaluation interrelate in human computer interaction (HCI) research? <br/> <br/>Authors: Wania, Christine E. <br/> <br/>Abstract: Human-Computer Interaction (HCI) is a multidisciplinary field, which combines the theories and practices from a number of fields including computer science, cognitive and behavioral psychology, anthropology, sociology, ergonomics, and more. HCI is defined by the Association for Computing Machinery (ACM) Special Interest Group on Computer-Human Interaction (SIGCHI) as “a discipline concerned with the design, evaluation, and implementation of interactive computing systems for human use and with the study of the major phenomenon surrounding them” [16]. In HCI there are authors that focus more on designing for usability and there are authors that focus more on evaluating usability. The relationship between these communities is not really clear. We use author cocitation analysis, multivariate techniques, and visualization tools to explore the interrelationships between these communities. The results of the analysis reveal seven clusters that could be identified as Design Theory and Complexity, Design Rationale, Cognitive Theories and Models, Cognitive Engineering, Computer-Supported Cooperative Work (CSCW), Participatory Design, and User-Centered Design. http://idea.library.drexel.edu/handle/1860/1617 Title: Context-sensitive semantic smoothing for the language modeling approach to genomic information retrieval <br/> <br/>Authors: Zhou, Xiaohua <br/> <br/>Abstract: Semantic smoothing, which incorporates synonym and sense information into the language models, is effective and potentially significant to improve retrieval performance. The implemented semantic smoothing models, such as the translation model which statistically maps document terms to query terms, and a number of works that have followed have shown good experimental results. However, these models are unable to incorporate contextual information. For example, “mouse” may be translated into both “computer” and “cat” with high probabilities. Thus, the resulting translation might be mixed and fairly general. To overcome this limitation, we propose a novel context-sensitive semantic smoothing method that decomposes a document or a query into a set of weighted context-sensitive topic signatures and then translate those topic signatures into query terms. In detail, we solve this problem through (1) choosing concept pairs as topic signatures and adopting an ontology-based approach to extract concept pairs; (2) estimating the translation model for each topic signature using EM; and (3) expanding document and query models based on topic signature translations. The new smoothing method is evaluated on TREC 2004/05 Genomics Track collections and significant improvements are obtained. The MAP (mean average precision) achieves a 33.6% maximal gain over the simple language model, as well as a 7.8% gain over the language model with context-insensitive semantic smoothing.