Scott M. Brown

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The United States creates or acquires increasingly more complex intelligence, surveillance, and reconnaissance (ISR) systems to maintain a strong, leading presence within the world. As a result, ISR systems have become more costly and difficult to manage. The research team focused on continuing previous year efforts of another team to utilize commercial(More)
The complexity of current computer systems and software vrarrants research into methods to decrease the cognitive load on users. Determining horr to get the right information into the right form vrith the right tool at the right time has bccomc a monumental task one necessitating intelligent intarfacc agents vlith the ability to predict the users’ needs and(More)
An underlying problem of current interface agent research is the failure to adequately address e ective and e cient knowledge representations and associated methodologies suitable for modeling the users' interactions with the system. These user models lack the representational complexity to manage the uncertainty and dynamics involved in predicting user(More)
The complexity of" current soft.ware applications is overwhelming users. The need exists for inteUigent interface agents to address the problems of increasing taskload that is overwhelming the hunloax user. Interface agents could help alleviate user taskload by extracting and analyzing relevant information, and providing information abstractions of that(More)
The utilization of immersive distributed virtual environments for military training is readily apparent (Stytz 1996; Stytz, Soltz, & Wilson 1996). These virtual environments are capable of simulating thousands of real-world and synthetic components, all interacting in real time. The user must attempt to base decisions on relevant information within the(More)
This paper reports our preliminary design and implementation towards the development of Kavanah, a system to help users retrieve information and discover knowledge for a medical domain application. The goal of this system is to adaptively react to the dynamic changes in the user’s interests and preferences in searching for information within the context of(More)
The proliferation of user modeling as a means of accurately capturing the beliefs, desires, and intent of users is apparent. We present a dynamic, uncertainty-based user model knowledge representation for use in an intelligent interface agent called GESIA. GESIA’s numerical uncertainty management representation, which has its roots in Bayesian networks, not(More)