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Information Visualization, Human-Computer Interaction, and Cognitive Psychology: Domain Visualizations Kevin W. Boyack Sandia National Laboratories Outline • Motivation • Process • VxInsight – description – demo • Observations • Recommendations 2 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 3 of 18 Study • Create domain visualizations • Combine the fields of IV, HCI, CP, and DL • Several views – article map – semantic map – co-author network 4 of 18 Mapping Process Steps • Data acquisition Database search • Define relationships Similarities based on common attributes • Organize (cluster) VxInsight ordination algorithm (VxORD) • Display, browse, access, analyze VxInsight 5 of 18 Steps • Data acquisition Database search – Queried SCI (>1991) and SSCI (>1995) titles / abstracts / keywords 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 6 of 18 Steps • Data acquisition Database search • Define relationships Similarities based on common attributes – co-occurrence wij = Tij / sqrt(ni * nj) Tij - number of keywords in common for articles i and j nk - number of keywords for any article k 7 of 18 Steps • Data acquisition Database search • Define relationships Similarities based on common attributes • Organize (cluster) E x , y wi li VxInsight algorithm Dx , y ordination (VxORD) i 0 n 2 n number ofplacement edges connected to node – Force-directed algorithm wi weight of edge i li euclidean length of edge i D x,y densityof objects at/near coordinate x,y 8 of 18 Steps • Data acquisition Database search • Define relationships Similarities based on common attributes • Organize (cluster) VxInsight ordination algorithm (VxORD) • Display, browse, access, analyze VxInsight 9 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 10 of 18 11 of 18 12 of 18 13 of 18 14 of 18 15 of 18 16 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 17 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 18 of 18