Chienting Lin

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This research presents preliminary results generated from the semantic retrieval research component of the Illinois Digital Library Initiative (DLI) project. Using a variation of the automatic thesaurus generation techniques, to which we refer as the concept space approach, we aimed to create graphs of domain-speciic concepts (terms) and their weighted(More)
In this paper, we report on two user-centric evaluation studies of COPLINK, a suite of criminal data mining and knowledge management applications developed at the University of Arizona. Our evaluations concentrate on system usability and user acceptance in the law enforcement setting. Findings from our studies provide insights to digital government systems(More)
We have extensive experience with distributed facilitation of synchronous virtual meetings since 1992. More recently , we have gained experience in asynchronous virtual meetings and have learned lessons from which best practices have been distilled. Best practices for synchronous and asynchronous distributed facilitation give insight into requirements for(More)
We study the dynamics of protein folding via statistical energy-landscape theory. In particular, we concentrate on the local-connectivity case with the folding progress described by the fraction of native conformations. We found that the first passage-time (FPT) distribution undergoes a dynamic transition at a temperature below which the FPT distribution(More)
In this paper, we report our work on developing and evaluating a prototype system aimed at addressing the information monitoring and sharing challenges in the law enforcement domain. Our system, called COPLINK Agent, is designed to provide automatic information filtering and monitoring functional-ities. This system also supports knowledge sharing by(More)
In law enforcement applications, there is a critical need for new tools that can facilitate efficient and effective collaboration. Through a field study, we observe that crime analysis, a critical component of law enforcement operations, is knowledge intensive and often involves collaborative efforts from multiple law enforcement officers within and across(More)
This study purports to develop and empirically examine a model for explaining technology acceptance decisions by individual law enforcement officers. Specifically, we describe the research model and hypotheses, detail our study design, and highlight important results from a pretest study that included 42 detectives and police officers from the Tucson Police(More)