NSF EAGER: Assessment of Barriers to Trusting Computer-Based Home Assistance (ICD Project)
Computer instrumentation of living environments promises to extend the independent life span of our aging populations. This technological potential will not be realized unless people are willing to trust their lives to such support systems, as a replacement for human support. Very little is known about how and why people make these important decisions. This research will provide a foundation for understanding how and why people agree to place their life in the hands of computerized equipment that they cannot fully understand or control. This research project will study this issue using a widely adopted, computer-dependent life-saving device, the Implantable Cardiac Device (ICD); and explore the reasons why eligible patients choose to have the device implanted and why others choose not to have the device implanted. Paul Kantor is the PI and Cecilia S. Gal is the Co-PI of the project. Project page.
IC Post Doctoral Fellowship
The objective of the project is to facilitate use of cognitive assistants by the Intelligence Community and to develop advanced and practical mixed-initiative methods for cognitive assistants. Develop domain dependent modules that can do analysis of the relevance and credibility of sources and evidence, producing results that closely approximate the judgments that would be made by an analyst who cannot be present to make those judgments at the time they would be useful. The Post Doctoral Fellow on this project is Paul Raff under the direction of Paul Kantor.
DHS: Deceptive Detection: High Risk, High Performance Strategies (DNDO)
This project explores mathematical methods for optimizing the effectiveness of sensors that can be used to detect nuclear threats in the domestic environment, that is within the United States, for example traveling by car or by truck. The principal investigators are Paul Kantor and Endre Boros. (Grant #DHS 2008-DN-077-ARI003-02 and #CBET-0735910).
AEF: Integrate Information Science and Economics: A Foundation for Major Research Instrumentation and Cyber-Enabled Grant Funding
IMLS: Personalization of Digital Library Experience (PooDLE) Project
Researchers at the Rutgers University School of Communication and Information will investigate ways to improve the ability of people to find information they need in digital libraries. By examining the interaction of factors such as the searchers location, individual characteristics, the nature of his or her task, and similar data, the team will create a personalization assistant that will help searchers use digital libraries more effectively. The open source tool based on this research will reside on the users own computer to enhance the users interactions with digital libraries while protecting the users privacy.