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Exploring Human Factors in Information Systems Through Data Visualization Techniques

This course taught by Cindy Corritore, Ph.D., at Creighton University focuses on the role of human factors in the design and use of information systems, particularly through the lens of data visualization. Various tools and techniques are explored, such as 2D visualizations, fish-eye menus, and time-based series representations, aimed at improving user interaction with data. The content addresses real-world applications through demos and prototypes, emphasizing the importance of visualization in conveying complex information effectively.

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Exploring Human Factors in Information Systems Through Data Visualization Techniques

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  1. ITM/ECM 734 Human Factors in Information Systems Fall 2005 Visualization Cindy Corritore, Ph.D. Creighton University corritore, 734

  2. 2D visualization • http://www.ilog.com/image.cfm?name=ILOGJTGO_b.jpg • Workflow demo - http://mvdemo01.ilog.com/wf-monitor/ (pick invisible button) • pg. 591, Google network, pg. 593, pg 594 • Lifelines: (use IE) (we looked at this already) http://www.cs.umd.edu/hcil/lifelines/latestdemo/chi.html - prototype C.L. Corritore

  3. 2D • Pad - 2D visualization tool (turn down colors) • widgets • presentation • Counterpoint (show presentation BIB 2004) C.L. Corritore

  4. 2D • fisheye menu (pick fisheye from menu) http://www.cs.umd.edu/hcil/fisheyemenu/fisheyemenu-demo.shtml • business ethics website at CU: http://businessethics.creighton.edu/home.aspx?InsidePage=Resources • Date Lens – for PDA calenders (fisheye) – (http://www.cs.umd.edu/hcil/datelens/) • short movie http://www.windsorinterfaces.com/datelens.shtml The brain (personal brain also) (we did this already) http://www.thebrain.com/ • brain site map - http://mappa.mundi.net/map/index.html# C.L. Corritore

  5. 2D • Tree Map and stocks (we looked at this) http://www.smartmoney.com/marketmap/mapPage.cfm http://www.cs.umd.edu/hcil/treemap/applet/index.shtml • Space tree – movie (website: http://www.cs.umd.edu/hcil/spacetree/applet/applet.shtml ) C.L. Corritore

  6. 2D • Hyperbolic tree – • online shopping demo – http://www.inxight.com/demos/grocery/index.htm • Lexus-Nexus http://www.lexisnexis.com/startree/interactiveview.asp • Magnifind • Touchgraph - http://www.touchgraph.com/ - go to Google • Visual Thesaurus • Cop – (we looked at this already) http://ai.bpa.arizona.edu/COPLINK/demo/Visualization.htm C.L. Corritore

  7. 2D • IBM Data Explorer platform (opensource tool) • http://researchweb.watson.ibm.com/dx/imageGallery/index.html - gallery of output from system with different types of data C.L. Corritore

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  10. time-based series • Bade paper – looking at ways to represent data related to time (medical) • Tufte and paper – proof of concept http://www.edwardtufte.com/tufte/lancet_p3 • explanation - http://www.edwardtufte.com/tufte/lancet_p2 C.L. Corritore

  11. information-rich visualizations • Pampelk ref - SOM maps –self-organizing map (using neural net) - http://websom.hut.fi/websom/ (millions of docs; system automatically creates the map; search on finnish demo) • labels are core vocabulary of map unit docs • coloring – light are more dense (clusters) and dark are ravines between clusters C.L. Corritore

  12. information-rich visualizations • Pampalk et al - 6 Mozart sonatas by 6 famous pianists – idea is to allow user to adjust variables and analysis method http://www.ofai.at/~elias.pampalk/kdd03/ • also Islands of Music (music repositories) and animals (characteristics like appearance vs. activity) C.L. Corritore

  13. evaluating data • Gresh et al – Figure 7 - http://www.cindycorritore.com/readings/visualization/week_2/gresh%20visualization.pdf • shows how user can manipulate information and examine outliers (potential money losers or makers) C.L. Corritore

  14. 3D • Periscope project – search results - website at: http://periscope.kti.ae.poznan.pl/project/index2.html • demo (test): http://periscope.kti.ae.poznan.pl/ • Compare search results - cylinders are domains (green bar if subdomains) - documents (circles on host; squares if doc on subdomain host) - move cylinders around C.L. Corritore

  15. eBiz Live - Bank of America Credit Policy Scoring • Review characteristics of 200,000 automobile loans to improve credit scoring procedure. • Correlate incidence of bad loans with loan applicant details. • Compare sub-populations. Geographic or abstract e.g. age, income or any of 100+ characteristics. • Visualization highlights patterns in credit performance. C.L. Corritore

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  17. simple but facile • Broadmoor hotel – Colorado Spring, CO https://reservations.ihotelier.com/onescreen.cfm?hotelID=2054&languageID=1 • Yankee Candles – custom http://sparrow10.parc.xerox.com:8000/sparrow_2.0/index.html C.L. Corritore

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