James Schaffer

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In many of today's online applications that facilitate data exploration, results from information filters such as recommender systems are displayed alongside traditional search tools. However, the effect of prediction algorithms on users who are performing open-ended data exploration tasks through a search interface is not well understood. This paper(More)
OBJECTIVE We investigated how increases in task-relevant information affect human decision-making performance, situation awareness (SA), and trust in a simulated command-and-control (C2) environment. BACKGROUND Increased information is often associated with an improvement of SA and decision-making performance in networked organizations. However, previous(More)
—The web has evolved in a scale free manner, with available information about different entities developing in different forms, different locations, and at massive scales. This paper addresses the cognitive limitations that information analysts typically experience as they approach the boundaries where automated analysis algorithms are sorely needed. An(More)
This paper discusses and evaluates the impact of visualization and interaction strategies for extracting quality information from data in complex networks such as microblogs. Two different approaches to interactive visual representations of data are discussed: an interactive node-link graph and a novel approach where content is separated into interactive(More)
28 Background: Value based payment reforms which improve the outcome to cost ratio (paying for outcomes not for services) require detailed information on both elements. Although the digitalization of medicine via the EHR may facilitate data collection, the imprecise ICD9 and ICD10 schemas hinder analysis (eg: all breast cancers are ICD9 174.9). A more(More)
Explanation and dynamic feedback given to a user during the recommendation process can influence user experience. Despite this, many real-world recommender systems separate profile updates and feedback, obfus-cating the relationship between them. This paper studies the effects of what we call hypothetical recommendations. These are recommendations generated(More)
Massive open online courses (MOOCs) have high potential for improving education worldwide, but understanding of student behavior and situations is difficult to achieve in online settings. Network analytics and visualizations can assist instructors with supporting understanding of student behavior as courses unfold. In this work, we perform a visual(More)
User interface (UI) composition and information presentation can impact human trust behavior. Trust is a complex concept studied by disciplines like psychology, sociology, economics, and computer science. Definitions of trust vary depending on the context, but are typically based on the core concept of " reliance on another person or entity ". Trust is a(More)
We define an entrance examination to be a test given during the traditional final exam period that is associated with a course the student will take in the following semester. In our model, entrance exams replace final exams and offer several advantages. First, they reduce the problem associated with compartmentalization of knowledge. Entrance exams will be(More)