1. Information Visualization, Human-Computer Interaction, and Cognitive Psychology: Domain Visualizations Kevin W. Boyack Sandia National Laboratories

2. 2 of 18 Outline Motivation Process VxInsight –description –demo Observations Recommendations

3. 3 of 18 Motivation for Study DIGITAL LIBRARIES (DL) –need technology insertion from Information Visualization (IV) Human-Computer Interaction (HCI) Cognitive Psychology (CP) Are these fields merging? … If so, in what areas? Apply our visualization tool, VxInsight

4. 4 of 18 Study Create domain visualizations Combine the fields of IV, HCI, CP, and DL Several views –article map –semantic map –co-author network

5. 5 of 18 Mapping Process Steps Data acquisition Define relationships Organize (cluster) Display, browse, access, analyze Database search Similarities based on common attributes VxInsight ordination algorithm (VxORD) VxInsight

6. 6 of 18 Steps Data acquisition –Queried SCI (>1991) and SSCI (>1995) titles / abstracts / keywords Database search visualization (IV) exploration (IV) navigation (IV) browsing (IV) human-computer interaction (HCI) human-computer interface (HCI) cognitive psychology (CP) cognitive science (CP) cognitive model (CP) cognitive system (CP) digital library (DL) mental model

7. 7 of 18 Steps w ij = T ij / sqrt(n i * n j ) T ij - number of keywords in common for articles i and j n k - number of keywords for any article k

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10. 10 of 18 VxInsight™ Configuration Visualize and navigate large data sets Configurable menus; detailed information on single data objects Viewfinder Choice of landscape rendering Peak labeling, updated dynamically upon zoom Linkages between data elements Mouse buttons control zooming in or out Limit displayed data with date slider SQL query to database lights up matching data objects

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17. 17 of 18 Observations Few overlaps between fields Current overlap is Information Retrieval Terms show growth in smart algorithms Co-authorship network between fields is nonexistent

18. 18 of 18 Recommendations Focus collaborative work on Information Retrieval Additional focus on algorithms Should do author co-citation analysis –Might show more extensive knowledge network Keywords are lacking on many articles –LSA on titles/abstracts would include them