systems are software systems
that incorporate "human-in-the-loop" in achieving complex
can be single systems with interactive components (e.g.,
program debuggers), but frequently are ad hoc;
consisting of a set of distinct and dedicated software
tools (e.g., a DBMS) that are stitched together by a
domain specialist who interprets the results from one tool
to formulate the inputs to the next.
We introduce Interaction History Management Systems (IHMSs): systems that capture and manage sequences of user interactions (interaction histories, or IHs) that determine the behaviors of an interactive system. The interactions managed by an IHMS may be system and domain-specific and can include SQL queries, search keywords, annotations of results and applied processing algorithms. By managing the histories of such interactions, it becomes possible both to optimize and add additional functionality (e.g., versioning, time travel, use analysis) to the underlying interactive system.
In this project, we intend to determine design strategies for IHMSs and as part of this effort, will collaborate with the Center of Evidence-Based Medicine at Brown University (formerly at Tufts Medical Center) to design and build an IHMS that uses interaction histories to support the formulation of "systematic reviews": human-accumulated bodies of evidence that provide empirical evidence for the relative effectiveness of some treatment strategy ("intervention") in treating a given patient's diagnosed disease or disorder. Evidence-Based Practice has been recognized in the recently passed Healthcare Reform Bill as a cornerstone to the improvement of healthcare in US, but systematic review formulation is extremely time-consuming and not scalable to general practice. Our system will use interaction histories from formulations of prior systematic reviews to help simplify this process and make it more scalable.
Dimitriadou (Graduate Student, Brandeis University)
Dimokritos Stamatakis (Graduate
Student, Brandeis University)
Varenya Prasad (MSc Student, Brandeis University, graduated, currently in industry)
Alexander Pagan (Undergraduate Student, Brandeis University, graduated, currently a Ph.D. student MIT)
Yanlei Diao (UMass, Amherst)
Joseph Lau (Professor of Health Services, Policy & Practice, Brown University)
Trikalinos (Associate Professor of Health Services,
Policy & Practice, Brown University, Director for
Evidence-Based Medicine Center)
This project is sponsored by NSF IIS-1049974.