DATABASE GRAPHICAL USER INTERFACE WITH FISHEYE TECHNOLOGY Agency Columbia Center for New Media Teaching and Learning CCNMTL Title: Visual Interface Evaluation New Systems of Access in Data for The Digital Government Research Center (DGRC) Title Presenters Peter Sommer Ju-Ling Shih Laura Zadoff Date Month Jan.. Feb.. March April May Day 1 2 3 4 5 Present to DGRC Evaluation Board at Columbia University Applet CS EDS
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DATABASE GRAPHICAL USER INTERFACE WITH FISHEYE TECHNOLOGY
Applet. CS. EDS. CCNMTL. Agency. Columbia Center for New Media Teaching and Learning. DATABASE GRAPHICAL USER INTERFACE WITH FISHEYE TECHNOLOGY. Title: Visual Interface Evaluation New Systems of Access in Data for The Digital Government Research Center (DGRC). - PowerPoint PPT Presentation
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DATABASE GRAPHICAL
USER INTERFACE
WITH FISHEYE
TECHNOLOGY
Agency
Columbia Center for
New Media Teaching and
Learning
CCNMTL
Title:
Visual InterfaceEvaluation
New Systems of Access in Data
for
The Digital Government Research Center (DGRC)
Title
Presenters Peter Sommer Ju-Ling Shih Laura Zadoff
Date Month
Jan..
Feb..
March
April
May
Day
1
2
3
4
5
Present to DGRC Evaluation Board at Columbia University
Applet
CS EDS
Methodology Flowchart - PastMethodology Flowchart - Past
Development of Evaluation PlanDevelopment of Evaluation Plan
Goals of Evaluation• optimize the effectiveness of the interface,• identify usability problems,• provide feedback on the overall functionality,• anticipate changes in user need that might drive future
development,• validate the design,• indicate the extent to which the interface improves on
previous interfaces.Methods
• Heuristics• User and Task Analysis
Heuristics for Database InterfaceHeuristics for Database Interface
Usability inspection method targeting interface design by judging
compliances to principles for successful design.
Design• Adapted from existing research on interface design
Goal• User Behaviors• User Intuitiveness for Different Groups of Users• Strengths and Weaknesses of the Design
Participants• Content Experts• Government Agency Workers• Faculty and Students
Responses To Fisheye InterfaceResponses To Fisheye Interface
Interviewees:• EDS librarians
• Jane Weintrop• Nicole Fox
• Reference Desk librarians• Jerry Breeze• Alysse Jordan
Analysis of DataGate InterfaceAnalysis of DataGate Interface
Purpose• Understand User Behaviors with Database
Query Log Analysis of EDS DataGate by Nicole Fox
• Flexibility in Choosing Variables• Options to Sets of Variables• Options to Adjust Individual Variable
• Keyword Search: Search Methods and Syntax• “All” vs. “Any”• “And” vs. “Or”
• Modification of Queries• From General to Specific• From Specific to General
Interview FindingsInterview Findings
User Type Identification User Goals Kinds of Questions Brief History of Search Types of Searches Related Terms for Searches Selecting the database Learning to Use the
Interface
Students’ Searching Styles Searching Styles of Fisheye
Design Flexibility to Searching
Styles Helping the User Define the
Search Standardize Problem Librarians’ Duty Suggestions for the Fisheye
Design
Interview FindingsInterview Findings
User Type Identification• Novice and Power/Expert Users
Related Terms for Searches• Difficulty of Use of Alternative Terms
Learning to Use the Interface• Innovative Interface
• Need Orientation and Time to Familiarize with the Interface
Helping the User Define the Search• Help users to Visualize the Context and Structure of Information
• Definition and Redefinition of Search
[These issues need to be considered in all rich databases. All these issues were
shared with the team and considered in the further development of our
Playing Formative Role with Illuminative Goals• Inform Design Decisions
Change from Energy to Census dataAnchoring the Focus on Census would allow:
• Contribution to Census
• Testing the Interface with Existing Datasets:• Data is rich and accessible• There is enough of a user knowledge base to test
• Findings are Transferable to Energy, Labor, or other Census data.
Resource Analysis on Census DataResource Analysis on Census Data
Census Data Characteristics• User (Link)
• Variables (Link)
• Presentation Forms (Link)
• Geographical References (Link)
UsersUsers
Why define users? • To Create Task Scenario for User and Task Analysis
How? • Interview Experts
Regarding characteristics of PUMS:• Identify Target Users that
• Do not require to identify specific small geographic areas• Have knowledge, access, and time to program and process the samples
• Define Purposes and Tasks that involve• Cross-Variables Research• Study Relationships among variables not shown in existing tabulations• Concentrate on the characteristics of specifically defined populations
User TypesUser Types
AcademicDisciplinesFunctions
Non-AcademicGeneral Public
Novice Basic ResearchCourse Assignments
Personal UseResidence Relocation
Power/
Expert
ResearchLibrariansResearchers[cross-variables in research]
•Population
•Ethnicity
•Education
•Marriage
•Employment
•Residence
•Housing
•Etc.
Business UseMarketing
Expertise
Groups
VariablesVariables
Information Organization• Hierarchical Structure
• Massive Amount
Terminology• Some Variable Definitions Have Changed from Census to
Census
• Terminology is Not Always Obvious. • For example, there is no one variable for ethnicity. Asian ethnicity
is coded in the detailed race variable, Hispanic ethnicity in the detailed Hispanic origin field, and European ethnicity in the ancestry variable.
• Different Census Questions Performed in Different Years
Presentation FormsPresentation Forms
Using Geographic Information Systems (GIS)Using Dynamic Query Maps
Present Definition of the Selected Items Provide Synonyms Show Relationships Between Terms
• Example• Race =\= ethnic origin = ancestry =\= place of birth• educational attainment =\= highest education allocation• PUMA (above 100,000) = state =\= county =\= groups of counties
Show Number of Possible Results• Notes on the limitations of data. Make the users aware of the small
area data modification due to the confidentiality protection.
Display Cross-References Among Different Databases
Census Characteristics and Interface PossibilitiesCensus Characteristics and Interface Possibilities
Variables• Hierarchical Structure
• Massive Amount
Terminology• Definitions Change
• Obscure Terminology
• Census Question Change
Geographical References• Boundaries Change
• Unique Boundaries
• Codes for Areas
• Various Meanings for Same Names
Content Visualization• Display Information
Organization
Dynamic Menu• Magnification on Selected
Items with Full Content
Zoom In, Zoom Out• Manipulate the Level of
Magnification
Searchlight• Multiple Layers of Display
• Alternative Terms• Definition of Terms• Alternative Pathways
Create Dynamic Maps
PlanningPlanning
User and Task Analysis• Task Scenarios for Different User Groups
Prototype Testing. • Testing with Heuristics • Evaluate with Individual Features
• How effective is it? Are the results transferable to the usability of its totality?
• Define Minimum Functions in the Stage of Development• What are the basic criteria? How complete should the prototype be
in order to get meaningful results in functionality?
Usability TestingQuestionnaire
DiscussionDiscussion
We would like to invite discussion on experience in conducting formative evaluation, which provides proper feedback to the design team when the design is at its prototype stage.