1. Proactive Analytic Workspaces fro Heterogeneous Data
Frank Shipman
Dept. of Computer Science and Engineering
Center for the Study of Digital Libraries

2. Vision: Application of User/Interest Modeling to Support Data Analysis
Domain
Analysts
Access and Selection
Heterogeneous Data Repository
Proactive Analytic Workspace
Data Similarity
Assessments
Interpretive
Activity
Interest Models

3. PerCon: A Personal Data Analysis Environment Prototype
Repository
Viewer
Visual
Workspace
Suggestion
History

4. Evaluation of Initial Capabilities
24 participants performed tasks based on two years of weather and river data
Results
Availability of a persistent workspace increases the number of data objects investigated by users and improves the users’ perception of the environment
Recommendation effects are muted without the workspace
Activity moved from the repository viewer to the workspace when available
Many users valued the recommendations and actively sought more recommendations

5. Lots of Opportunities for Collaboration
Our focus is on proactively supporting human analysis
We are domain agnostic and can modify the tools to work with most types of data
Our architecture includes ability to add/replace data types, feature extractors, similarity measures, etc.