Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"user roles"”.
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Modeling the successes and failures of content-based platforms
… platforms' successes and failures is to examine user growth. However, growth can be misleading. While many platforms initially attract a massive user base, a large fraction later exhibit post-growth failures. For example, despite their enormous growth, content-based platforms like Stack Exchange …
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Education Level and a Computer-Based Performance Dashboard Prototype for a Major Delivery Company
… and (2) identify education level differences in user task performance and dashboard usability assessments. Both college educated and non-college educated participants were recruited to complete 15 tasks on a dashboard prototype under time constraints. The dashboard was divided among 5 user roles, …
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Addressing Deficiencies in Asian American Pacific Islander (AAPI) Hate Crime Reporting: Designing a Solution for Community Needs
… of the target audience. We explore key user roles and their respective needs within the AAPI community based on observational research, literature review, and stakeholder interviews. This understanding is then applied towards the design of a feature set and user interface for an …
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Modeling and detecting anomalous topic access in EMR audit logs
… information which can be accessed by various users in the hospital's complex and dynamic environment. There has been considerable success in developing strategies to detect insider threats in healthcare information systems based on what one might call the random object access model or ROA. …
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Continuously Extensible Information Systems: Extending the 5S Framework by Integrating UX and Workflows
… needed to achieve their goals, the researchers/users would need to know what sequences of functions or algorithms to run using such tools, after considering all of their extensive functionality. Our research addresses these problems directly by designing a system that lowers the information …
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Weakly Supervised Machine Learning for Cyberbullying Detection
… is an ensemble of two linear language-based and user-based models. The model is trained by providing a set of seed key-phrases that are indicative of bullying language. The results were promising, demonstrating its effectiveness and usefulness in recovering known bullying words, recognizing new …