1 Week 9 March 29 • Graphics • Graphics Builder R. Ching, Ph.D. • MIS Area • California State University, Sacramento Sales Revenue R. Ching, Ph.D. • MIS Area • California State University, Sacramento 2 Bar Chart R. Ching, Ph.D. • MIS Area • California State University, Sacramento 3 Pie Chart Note. Slices are ordered large to small, counterclockwise R. Ching, Ph.D. • MIS Area • California State University, Sacramento 4 Man-Machine Interface Studies • Color improves – Performance in recall – Performance in a search and locate task – Performance in a retention task – Comprehension of instructional materials – Performance in a decision judgment – Ability to extract information (very quickly) R. Ching, Ph.D. • MIS Area • California State University, Sacramento 5 Man-Machine Interface Studies • Display Format: Graphic versus tabular – Graphical display is more conducive to information recall than tabular display when the task required memory for temporal and set-integrative patterns – Recall of simple facts (e.g., point values, simple comparisons) was indifferent to variations in presentation format R. Ching, Ph.D. • MIS Area • California State University, Sacramento 6 Color and Decision-Maker Productivity • “If the subject’s task is to identify some feature of a target, colors can be identified more accurately than sizes, brightness, familiar geometric shapes, and other shape or form parameters, but colors are identified with less accuracy than alphanumeric symbols.” Christ, 1975 R. Ching, Ph.D. • MIS Area • California State University, Sacramento 7 Color and Decision-Maker Productivity • “...the relative effectiveness of color is dependent upon the task of the subject. Color coding appears to be most effective when the position of the target(s) is unknown. This is particularly evident in tasks involving search over cluttered display fields. Other tasks such as target identification tend not be beneficially influenced by color coding.” Barker and Krebs, 1977 R. Ching, Ph.D. • MIS Area • California State University, Sacramento 8 Color and Decision-Maker Productivity • “If graphics and color are to produce positive results they must be used with considerable care. There are apparently important interactions between the use of graphic/color and attributes of both the decision maker and decision task. Effective use will require more than just converting our old tabular presentations to graphics.” Ives, 1982 R. Ching, Ph.D. • MIS Area • California State University, Sacramento 9 Human Information Processing Five Visual Input Channels 6 0 0 5 0 0 4 0 0 3 0 0 2 0 0 1 0 0 0 • • • • • Color Relative Position Brightness Movement Shape 10 Information capacity of a single channel is approximately seven, the number of distinguishable levels (differences) “...the human information processing system can handle considerably more inputs if those inputs are received on multiple channels.” Ives, 1982 R. Ching, Ph.D. • MIS Area • California State University, Sacramento 11 Boeing 777 “Glass Flight Deck” R. Ching, Ph.D. • MIS Area • California State University, Sacramento 12 Boeing 727-200 “Steam Gauges,” circa 1970 R. Ching, Ph.D. • MIS Area • California State University, Sacramento The different images can be displayed on each display Analog images 13 Engines LCD displays Fuel system R. Ching, Ph.D. • MIS Area • California State University, Sacramento Boeing 777 Glass Flight Deck Engines 14 Tanks Fuel system Boeing 777 Glass Flight Deck R. Ching, Ph.D. • MIS Area • California State University, Sacramento Factoid 15 5,117 miles (9-10 hours) Tokyo (NRT) San Francisco (SFO) • Flight path transmitted and programmed into aircraft’s computer from San Francisco before the aircraft leaves Tokyo • San Francisco maintenance base continuously monitors the aircraft’s computer while in flight • The aircraft’s computer is capable of flying the aircraft (during its cruise) from origin to destination with human assistance • The aircraft’s computer is capable of landing the aircraft R. Ching, Ph.D. • MIS Area • California State University, Sacramento Graphs • Convey information about summarized data, particularly to identify trend and proportion • Types – Pie chart • Proportion of a relative frequency to the whole – Bar graph (vertical and horizontal) • Frequency or relative frequency – Line graph • Trend R. Ching, Ph.D. • MIS Area • California State University, Sacramento 16 Independent and Dependent Variables • Pie charts and bar graphs – Categorical variable assigned to the independent variable – Quantitative units assigned to the dependent variable • Line graphs – Independent variable assigned to the horizontal or x axis • Must of at least ordinal scale – Dependent variable is a measurement of at least interval scale R. Ching, Ph.D. • MIS Area • California State University, Sacramento 17 18 Independent and dependent variables? R. Ching, Ph.D. • MIS Area • California State University, Sacramento 19 Independent and dependent variables? R. Ching, Ph.D. • MIS Area • California State University, Sacramento A Few Simple Steps for Creating a Graph • Build the initial SQL command in SQL*Plus • In Graphics Builder – Build the data model – Build the graph • Select the graph type • Assign the independent and dependent to the categories and values, respectively • Format the various components of graph as needed • Save and run the graph R. Ching, Ph.D. • MIS Area • California State University, Sacramento 20 Create the Data Model 21 R. Ching, Ph.D. • MIS Area • California State University, Sacramento Select the Graph Type and Subtype 22 R. Ching, Ph.D. • MIS Area • California State University, Sacramento Assign the Independent Variable 23 R. Ching, Ph.D. • MIS Area • California State University, Sacramento Assign the Dependent Variable 24 R. Ching, Ph.D. • MIS Area • California State University, Sacramento Initial Graph Field size too small R. Ching, Ph.D. • MIS Area • California State University, Sacramento 25