Comp 15 Usability Human Factors Unit 12 a

Comp 15 - Usability & Human Factors Unit 12 a - Information Visualization This material was developed by Columbia University, funded by the Department of Health and Human Services, Office of the National Coordinator for Health Information Technology under Award Number 1 U 24 OC 000003.

Overview Main concepts Field of Information Visualization Component 15/Unit 12 a • Presentation • Interaction and dynamic queries • Hierarchies and trees • Time-series data Health IT Workforce Curriculum 2. 0/Spring 2011 Version Information Visualization in Medicine 2

Field of Information Visualization Data explosion • 1000000000 bytes of unique info per year • 250 Meg for every man, woman and child • Printed documents – 0. 003% of total • Peter Lyman and Hal Varian, 2000 Cal-Berkeley, Info Mgmt& Systems • www. sims. berkeley. edu/how-much-info Knowledge workers • • • Reliance on information Ability to process information to make correct decision or select appropriate action Medical applications Access to large volumes of various patient-related information Assess the case, select appropriate action Component 15/Unit 12 a Health IT Workforce Curriculum 2. 0/Spring 2011 Version 3

Field of Information Visualization Human Vision Component 15/Unit 12 a Health IT Workforce Curriculum 2. 0/Spring 2011 • Highest bandwidth (100 MB/sec) • Fast, parallel • Pattern recognition • Pre-attentive • Extends memory and cognitive capacity • People think visually • Great resource to use in application design Version 4

Field of Information Visualization Which state has the highest income? Is there any relationship between income and education? (tables and graph – lectures in Info. Vis Chris North, UV) Component 15/Unit 12 a Health IT Workforce Curriculum 2. 0/Spring 2011 Version 5

Field of Information Visualization Which state has the highest income? Is there any relationship between income and education? (tables and graph – lectures in Info. Vis Chris North, UV) Component 15/Unit 12 a Health IT Workforce Curriculum 2. 0/Spring 2011 Version 6

Field of Information Visualization Component 15/Unit 12 a • Understand decision making practices in a particular domain • Understand data used in decision making • Provide tools that present data in a way that helps people understand it and gain insight from it (data information knowledge) Information Visualization IS NOT Information Visualization IS Cognitive process Health IT Workforce Curriculum 2. 0/Spring 2011 Visual design UI design or Information Architecture (although can be related) Scientific visualization (visual representation of physical objects – medical imaging) Version 7

Field of Information Visualization Components: Analysis tasks: Component 15/Unit 12 a • Mapping items with no direct physical correspondence to 1, 2 or 3 -D physical space • Highlighting important aspects of data that support its comprehension • Identify, Locate, Distinguish, Categorize, Cluster, Distribution, Rank, Compare (within relations), Compare (between relations), Associate, Correlate • Overview, Zoom, Filter, Details on demand, Relate, History, Extract Health IT Workforce Curriculum 2. 0/Spring 2011 Version 8

Examples Smart Money (http: //www. smartmoney. com/marketmap/) Component 15/Unit 12 a Transparent New York (http: //www. skyscraper. org/timeformations/transparent. html) Health IT Workforce Curriculum 2. 0/Spring 2011 Version 9

Multivariate data sets Data tables • Most popular way of presenting information in information-rich interfaces (tabular) • Disadvantage – provide access to data, but minimal decision support Component 15/Unit 12 a Data sets – number of variables per class Data types: • Nominal (qualitative) • Ordinal • Numeric (quantitative) • Meta-data (data about data, i. e. type) Health IT Workforce Curriculum 2. 0/Spring 2011 • 1 – Univariable sets • 2 – Bivariate sets • 3 – Trivariate sets • >3 – Hypervariate sets Version 10

Multivariate data sets Representation • Graphs • Charts (structure and relationships between entities are important) • Maps (spatial organization) • Diagrams (schematic picture of object or entity) • Glyphs (metaphors – mapping variables to particular visual properties) Component 15/Unit 12 a Health IT Workforce Curriculum 2. 0/Spring 2011 Version 11

Representations of data sets: Simple data sets 1. Univariate sets 8 6 3 1 Component 15/Unit 12 a Health IT Workforce Curriculum 2. 0/Spring 2011 Version 12

Representations of data sets: Simple data sets (con’t) 2. Bivariate sets (scatter plot is common) price mileage Component 15/Unit 12 a Health IT Workforce Curriculum 2. 0/Spring 2011 Version 13

Representations of data sets: Simple data sets (con’t) 3. Trivariate sets (3 D scatter plot – quickly becomes messy) horsepower price mileage Component 15/Unit 12 a Health IT Workforce Curriculum 2. 0/Spring 2011 Version 14

Representations of data sets: Simple data sets (con’t) 3. Trivariate sets (3 D scatter plot – quickly becomes messy) horsepower price mileage Component 15/Unit 12 a Health IT Workforce Curriculum 2. 0/Spring 2011 Version 15

Multivariate data sets 1. Each variable in its own display Component 15/Unit 12 a Health IT Workforce Curriculum 2. 0/Spring 2011 Version 16

Hypervariate data sets 2. Scatterplot matrix Image source: http: //arcobjectsonline. esri. com/Arc. Objects. Online/Samples/Analysis%20 and%20 Visualization/Scatterplot. htm Component 15/Unit 12 a Health IT Workforce Curriculum 2. 0/Spring 2011 Version 17