research plan - information visualization in location-aware application analysis

INFORMATION VISUALIZATION

IN LOCATION-AWARE APPLICATION ANALYSIS:

THE SPOPOS CASE

BY JOÃO RAMOS(ERASMUS STAGE)

SCIENTIFIC COORDINATION = PROF. RAPOSO (UA) + PROF. PAULIN (ITU)

INFORMATION VISUALIZATION

IN LOCATION-AWARE APPLICATION ANALYSIS:

THE SPOPOS CASE

BY JOÃO RAMOS(ERASMUS STAGE)

SCIENTIFIC COORDINATION = PROF. RAPOSO (UA) + PROF. PAULIN (ITU)

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APPLICATIONANALYSIS

INFORMATIONVISUALIZATION

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RESEARCHPROJECTFOCUS

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1) ABSTRACT 2) RESEARCH PROBLEM 3) PROJECT PURPOSE AND GOALS 4) THEORETICAL FRAMEWORK 5) ANALYSIS MODEL 6) METHODOLOGY 7) CONTINGENCY PLAN 8) SCHEDULE 9) EXPECTED RESULTS10) EXTRA: EMAIL INTERVIEWS

RESEARCH PLAN D

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ABSTRACT

RESEARCH PLAN D

The following research project aims to develop an alternative dynamic interface to track and visualize the Copenhagen Airport customers and passengers, to be proposed for integration within the Spopos tracking system, already established and collecting data. The interface will be conceptualized using the principles and specifications of Ecological Interface Design and will allow an interoperable and multi-platform access to indoor live-tracking, location-aware visualizations.

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1) ABSTRACT 2) RESEARCH PROBLEM 3) PROJECT PURPOSE AND GOALS 4) THEORETICAL FRAMEWORK 5) ANALYSIS MODEL 6) METHODOLOGY 7) CONTINGENCY PLAN 8) SCHEDULE 9) EXPECTED RESULTS10) EXTRA: EMAIL INTERVIEWS

RESEARCH PLAN D

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RESEARCH PROBLEM

RESEARCH PLAN D

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RESEARCH PROBLEM

RESEARCH PLAN D

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Check-in

RESEARCH PROBLEM

RESEARCH PLAN D

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}Check-inReal-time monitoring and tracking

RESEARCH PROBLEM

RESEARCH PLAN D

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Check-in }Improved security

Targeted marketing

Customer satisfaction

} Real-time monitoring and tracking

RESEARCH PROBLEM

RESEARCH PLAN D

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Check-in

SUPER SERVICE

+

+}Improved security

Targeted marketing

Customer satisfaction

} Real-time monitoring and tracking

RESEARCH PROBLEM

RESEARCH PLAN D

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Check-in

SUPER SERVICE

+

+}Improved security

Targeted marketing

Customer satisfaction

} Real-time monitoring and tracking

?

RESEARCH PROBLEM

RESEARCH PLAN D

What would be the interaction design layout, based on concerns related with Information Visualization, that is more suitable for applications focused on indoors tracking and analysis?“

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1) ABSTRACT 2) RESEARCH PROBLEM 3) PROJECT PURPOSE AND GOALS 4) THEORETICAL FRAMEWORK 5) ANALYSIS MODEL 6) METHODOLOGY 7) CONTINGENCY PLAN 8) SCHEDULE 9) EXPECTED RESULTS10) EXTRA: EMAIL INTERVIEWS

RESEARCH PLAN D

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PROJECT PURPOSE

RESEARCH PLAN D

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To envision a location-aware representation of the Copenhagen Airport passengers in a real-time alternative monitoring interface, so that users can avoid queue lines, get to their flights on time and consume targeted information about shopping and refreshment opportunities.

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PROJECT GOALS

RESEARCH PLAN D

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To establish a theoretical framework through a fundamental bibliographic revision on Information Visualization and Ecological Interface Design.1

PROJECT GOALS

RESEARCH PLAN D

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To identify and systematize potential actions, tasks, goals and navigation patterns to be addressed by the dynamic interface, through exhaustive tacit knowledge surveys.2

PROJECT GOALS

RESEARCH PLAN D

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To spot usability issues, technical problems and both paradigmatic and pragmatic relevant topics on the current default interface, to be taken as resolvable subjects on the design process of the alternative interface.

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PROJECT GOALS

RESEARCH PLAN D

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To deploy a final functional prototype in form of a web-based and interoperable visualization interface and raise awareness among location-aware application analysis.4

1) ABSTRACT 2) RESEARCH PROBLEM 3) PROJECT PURPOSE AND GOALS 4) THEORETICAL FRAMEWORK 5) ANALYSIS MODEL 6) METHODOLOGY 7) CONTINGENCY PLAN 8) SCHEDULE 9) EXPECTED RESULTS10) EXTRA: EMAIL INTERVIEWS

RESEARCH PLAN D

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THEORETICAL FRAMEWORK: PART I

RESEARCH PLAN D

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HISTORICAL OVERVIEW

1DEFINING INFOVIS

TECHNOLOGICAL APPLICATION

VISUAL COGNITION

DESIGN PATTERNS

USABILITY

THEORETICAL FRAMEWORK: PART I

RESEARCH PLAN D

4

HISTORICAL OVERVIEW

1DEFINING INFOVIS

TECHNOLOGICAL APPLICATION

VISUAL COGNITION

DESIGN PATTERNS

USABILITY

M NAPOLEON MARCH ON MOSCOW (1869), NIGHTINGALE (1858), JOHN SNOW (1854), HARRY BECK, MENDELIEEV

THEORETICAL FRAMEWORK: PART I

RESEARCH PLAN D

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HISTORICAL OVERVIEW

1DEFINING INFOVIS

TECHNOLOGICAL APPLICATION

VISUAL COGNITION

DESIGN PATTERNS

USABILITY

M FROM DATA TO WISDOM, APPROACHES, METHODS, UNDERSTANDING PROCESS, ABOUT INFODESIGN, ONLINE COMMUNITIES

THEORETICAL FRAMEWORK: PART I

RESEARCH PLAN D

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HISTORICAL OVERVIEW

1DEFINING INFOVIS

TECHNOLOGICAL APPLICATION

VISUAL COGNITION

DESIGN PATTERNS

USABILITY

M MEDIA OVERVIEW, DEVELOPMENT (BROWSER, APP, PROGRAMMING)

THEORETICAL FRAMEWORK: PART I

RESEARCH PLAN D

4

HISTORICAL OVERVIEW

1DEFINING INFOVIS

TECHNOLOGICAL APPLICATION

VISUAL COGNITION

DESIGN PATTERNS

USABILITY

M SYMBOLS, VISUAL TAXONOMIES (GESTALT PRE-ATTENTIVE VARIABLES AND GROUPING/ALIGNMENT)

THEORETICAL FRAMEWORK: PART I

RESEARCH PLAN D

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HISTORICAL OVERVIEW

1DEFINING INFOVIS

TECHNOLOGICAL APPLICATION

VISUAL COGNITION

DESIGN PATTERNS

USABILITY

M DISPLAY PATTERNS, BEHAVIOR PATTERNS, INTERACTION PATTERNS

THEORETICAL FRAMEWORK: PART I

RESEARCH PLAN D

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HISTORICAL OVERVIEW

1DEFINING INFOVIS

TECHNOLOGICAL APPLICATION

VISUAL COGNITION

DESIGN PATTERNS

USABILITY M UNIVERSAL USABILITY, INFORMATION AESTHETICS

THEORETICAL FRAMEWORK: PART II

RESEARCH PLAN D

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VISUAL ANALYTICS

2SITUATION AWARENESS

TACIT KNOWLEDGE VS EXPLICIT KNOWLEDGE

ADAPTABILITY VS ADAPTATIVITY

INTERFACE DESIGN APPROACH

THEORETICAL FRAMEWORK: PART II

RESEARCH PLAN D

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VISUAL ANALYTICS

2SITUATION AWARENESS

TACIT KNOWLEDGE VS EXPLICIT KNOWLEDGE

ADAPTABILITY VS ADAPTATIVITY

INTERFACE DESIGN APPROACH

M SENSEMAKING, SCOPE

THEORETICAL FRAMEWORK: PART II

RESEARCH PLAN D

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VISUAL ANALYTICS

2SITUATION AWARENESS

TACIT KNOWLEDGE VS EXPLICIT KNOWLEDGE

ADAPTABILITY VS ADAPTATIVITY

INTERFACE DESIGN APPROACH

M THEORETICAL MODEL

THEORETICAL FRAMEWORK: PART II

RESEARCH PLAN D

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VISUAL ANALYTICS

2SITUATION AWARENESS

TACIT KNOWLEDGE VS EXPLICIT KNOWLEDGE

ADAPTABILITY VS ADAPTATIVITY

INTERFACE DESIGN APPROACH

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TASK ANALYSIS

THEORETICAL FRAMEWORK: PART II

RESEARCH PLAN D

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VISUAL ANALYTICS

2SITUATION AWARENESS

TACIT KNOWLEDGE VS EXPLICIT KNOWLEDGE

ADAPTABILITY VS ADAPTATIVITY

INTERFACE DESIGN APPROACH

USER CONTROL, AUTOMATED TASKS

M

THEORETICAL FRAMEWORK: PART II

RESEARCH PLAN D

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VISUAL ANALYTICS

2SITUATION AWARENESS

TACIT KNOWLEDGE VS EXPLICIT KNOWLEDGE

ADAPTABILITY VS ADAPTATIVITY

INTERFACE DESIGN APPROACH EID VS UCDM

1) ABSTRACT 2) RESEARCH PROBLEM 3) PROJECT PURPOSE AND GOALS 4) THEORETICAL FRAMEWORK 5) ANALYSIS MODEL 6) METHODOLOGY 7) CONTINGENCY PLAN 8) SCHEDULE 9) EXPECTED RESULTS10) EXTRA: EMAIL INTERVIEWS

RESEARCH PLAN D

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Concepts Dimensions Components Indicators

Visualization Approaches Data Visualization, Information Visualization, Scientific Visualization, Information Aesthetics, Information Graphics, Knowledge Visualization

Visualization anatomy and dissection: type, format, support, goal, interactivity and context.

Visualization

Method Categories Data Visualization, Information Visualization, Concept Visualization, Strategy Visualization, Metaphor Visualization and Compound Visualization

Pie charts, interactive Tableau charts, concept visualizations, maps and meta-maps, infographics, and other Visualization methods.

Visualization

Process Acquire, Parse, Filter, Mine, Represent, Refine, Interact

Current state of the Visualization process.

Visualization

Continuum Data, Information, Knowledge, Wisdom

The nature of the continuum stage.

Visualization

Development Browser-based, Programming-based, JavaScript-based

Impure, Many-Eyes, Tableau, SPSS, Processing, Polymaps, Protovis, etc.

Visualization

Visual Cognition Visual Taxonomies Hue, Brightness, Saturation, texture, Position and Alignment, Orientation, Size and Shape; Proximity, Similarity, Continuity and Closure.

Visualization

Design Patterns Display patterns, Behavior patterns, Interaction patterns

Tree maps, simple and local zooming, checkboxes, and many more.

Visualization

Usability Universal Usability, Information Aesthetics, Evaluation Techniques

Effectiveness, Efficiency, Satisfaction

Interface Ecological Interface Design Complexity, Environment, Context of use, Work domain

Interface elementsInterface

Visual Analytics Data Analysis, Knowledge Management, Decision Science, Geospatial Analysis, etc

Patterns, data, environment, predictability, evaluation, monitoring

Interface

Situation Awareness Perception, Comprehension, Projection

Patterns, data, environment, predictability, evaluation, monitoring

Concepts Dimensions Components Indicators

Visualization Approaches Data Visualization, Information Visualization, Scientific Visualization, Information Aesthetics, Information Graphics, Knowledge Visualization

Visualization anatomy and dissection: type, format, support, goal, interactivity and context.

Visualization

Method Categories Data Visualization, Information Visualization, Concept Visualization, Strategy Visualization, Metaphor Visualization and Compound Visualization

Pie charts, interactive Tableau charts, concept visualizations, maps and meta-maps, infographics, and other Visualization methods.

Visualization

Process Acquire, Parse, Filter, Mine, Represent, Refine, Interact

Current state of the Visualization process.

Visualization

Continuum Data, Information, Knowledge, Wisdom

The nature of the continuum stage.

Visualization

Development Browser-based, Programming-based, JavaScript-based

Impure, Many-Eyes, Tableau, SPSS, Processing, Polymaps, Protovis, etc.

Visualization

Visual Cognition Visual Taxonomies Hue, Brightness, Saturation, texture, Position and Alignment, Orientation, Size and Shape; Proximity, Similarity, Continuity and Closure.

Visualization

Design Patterns Display patterns, Behavior patterns, Interaction patterns

Tree maps, simple and local zooming, checkboxes, and many more.

Visualization

Usability Universal Usability, Information Aesthetics, Evaluation Techniques

Effectiveness, Efficiency, Satisfaction

Interface Ecological Interface Design Complexity, Environment, Context of use, Work domain

Interface elementsInterface

Visual Analytics Data Analysis, Knowledge Management, Decision Science, Geospatial Analysis, etc

Patterns, data, environment, predictability, evaluation, monitoring

Interface

Situation Awareness Perception, Comprehension, Projection

Patterns, data, environment, predictability, evaluation, monitoring

1) ABSTRACT 2) RESEARCH PROBLEM 3) PROJECT PURPOSE AND GOALS 4) THEORETICAL FRAMEWORK 5) ANALYSIS MODEL 6) METHODOLOGY 7) CONTINGENCY PLAN 8) SCHEDULE 9) EXPECTED RESULTS10) EXTRA: EMAIL INTERVIEWS

RESEARCH PLAN D

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METHODOLOGY

RESEARCH PLAN D

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The applied research methodology is the exploratory method. It properly begins with the theoretical framework as a way of collecting relevant information out of a bibliographical research on the subjects of Information Visualization (Part I) and Ecological Interface Design (Part II) and is followed by two data collection techniques.

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METHODOLOGY

RESEARCH PLAN D

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INQUIRY (QUESTIONNAIRES)

OBSERVATION (DIRECT OBS.)

two data collection techniques“ ”

METHODOLOGY

RESEARCH PLAN D

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two data collection techniques“ ” TO BE APPLIED BEFORE AND AFTER THE PROTOTYPING STAGE

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MULTIDISC. QUESTIONNAIRES

DIRECT OBS. W/ THINK-ALOUD

METHODOLOGY

RESEARCH PLAN D

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two data collection techniques“ ” TO BE APPLIED BEFORE AND AFTER THE PROTOTYPING STAGE

BEFORE

Test the current

interface and spotusability

issues.

AFTER

Test the alternative interface, usability,emotional reactions and content.

10 PARTICIPANTS: STAFF, PASSENGERS

AND PASSENGER RELATIVES

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MULTIDISC. QUESTIONNAIRES

DIRECT OBS. W/ THINK-ALOUD

METHODOLOGY

RESEARCH PLAN D

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PassengerStaff Passenger

relatives

Data  collection

Location  and

Situation

Awareness

Location  and

Situation

Awareness

Inside  airport

Content-­driven  and  usability  tests

Emotional  reaction  tests

Outside  airport

1) ABSTRACT 2) RESEARCH PROBLEM 3) PROJECT PURPOSE AND GOALS 4) THEORETICAL FRAMEWORK 5) ANALYSIS MODEL 6) METHODOLOGY 7) CONTINGENCY PLAN 8) SCHEDULE 9) EXPECTED RESULTS10) EXTRA: EMAIL INTERVIEWS

RESEARCH PLAN D

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CONTINGENCY PLAN

RESEARCH PLAN D

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No access to the server-side technology and relevant Spopos infrastructures.“ ”Not enough participants in both the inquiry and the observation techniques.“ ”Partner restrictions or software license limitations.“ ”

1) ABSTRACT 2) RESEARCH PROBLEM 3) PROJECT PURPOSE AND GOALS 4) THEORETICAL FRAMEWORK 5) ANALYSIS MODEL 6) METHODOLOGY 7) CONTINGENCY PLAN 8) SCHEDULE 9) EXPECTED RESULTS10) EXTRA: EMAIL INTERVIEWS

RESEARCH PLAN D

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Sep. ’10Sep. ’10Sep. ’10Sep. ’10 Oct. ’10Oct. ’10Oct. ’10Oct. ’10 Nov. ’10Nov. ’10Nov. ’10Nov. ’10 Dec. ’10Dec. ’10Dec. ’10Dec. ’10 Jan. ’11Jan. ’11Jan. ’11Jan. ’11# Task Week1 Coordination MeetingCoordination Meeting

2 BrainstormingBrainstorming

Part APart A

3 Exploratory readingsExploratory readings

4 Dissertation composingDissertation composing

5 Table of ContentsTable of Contents

6 Theoretical FrameworkTheoretical Framework

7 Methodological designMethodological design

8 Research Plan composingResearch Plan composing

9 Research Plan presentationResearch Plan presentation

Part BPart B

10 Select sampleSelect sample11 Data collectingData collecting

12 Current state analysisCurrent state analysis13 Future state analysisFuture state analysis

Part CPart C

14 Infovis specificationsInfovis specifications15 Interface prototypingInterface prototyping16 Design and developmentDesign and development

17 TestingTesting

18 Partner evaluationPartner evaluation

Part DPart D

19 Conclusions composingConclusions composing

20 Finish dissertationFinish dissertation

21 Deliver dissertationDeliver dissertation

22 Present dissertationPresent dissertation

1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4

SCHEDULE D 1ST SEMESTER

SCHEDULE D 2ND SEMESTERFeb. ’11Feb. ’11Feb. ’11Feb. ’11 Mar. ’11Mar. ’11Mar. ’11Mar. ’11 Apr. ’11Apr. ’11Apr. ’11Apr. ’11 May ’11May ’11May ’11May ’11 Jun. ’11Jun. ’11Jun. ’11Jun. ’11

# Task Week

1 Coordination MeetingCoordination Meeting

2 BrainstormingBrainstorming

Part APart A

3 Exploratory readingsExploratory readings

4 Writing dissertationWriting dissertation

5 Table of ContentsTable of Contents

6 Theoretical FrameworkTheoretical Framework

7 Methodological designMethodological design

8 Writing Research PlanWriting Research Plan

9 Presenting Research PlanPresenting Research Plan

Part BPart B

10 Select sampleSelect sample

11 Data collectingData collecting

12 Current state analysisCurrent state analysis

13 Future state analysisFuture state analysis

Part CPart C

14 Infovis specificationsInfovis specifications

15 Interface prototypingInterface prototyping

16 Design and developmentDesign and development

17 TestingTesting

18 Partner evaluationPartner evaluation

Part DPart D

19 Writing conclusionsWriting conclusions

20 Finish dissertationFinish dissertation

21 Deliver dissertationDeliver dissertation

22 Present dissertationPresent dissertation

1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4

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1) ABSTRACT 2) RESEARCH PROBLEM 3) PROJECT PURPOSE AND GOALS 4) THEORETICAL FRAMEWORK 5) ANALYSIS MODEL 6) METHODOLOGY 7) CONTINGENCY PLAN 8) SCHEDULE 9) EXPECTED RESULTS10) EXTRA: EMAIL INTERVIEWS

RESEARCH PLAN D

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EXPECTED RESULTS

RESEARCH PLAN D

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In the end of this research project it is expected to have a functional prototype as an alternative UI layer for the Spopos tracking-system. This prototype will fix usability and display issues of the current interface and will provide users with an alternative, Information Visualization powered and situation-awareness solution, based on targeted research.

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EXPECTED RESULTS

RESEARCH PLAN D

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In the end of this research project it is expected to have a functional prototype as an alternative UI layer for the Spopos tracking-system. This prototype will fix usability and display issues of the current interface and will provide users with an alternative, Information Visualization powered and situation-awareness solution, based on targeted research.

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1) ABSTRACT 2) RESEARCH PROBLEM 3) PROJECT PURPOSE AND GOALS 4) THEORETICAL FRAMEWORK 5) ANALYSIS MODEL 6) METHODOLOGY 7) CONTINGENCY PLAN 8) SCHEDULE 9) EXPECTED RESULTS10) EXTRA: EMAIL INTERVIEWS

RESEARCH PLAN D

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EXTRA: EMAIL INTERVIEWS

RESEARCH PLAN D

WWW.VISUALIZING.IT“ ”10

OBRIGADOHELLO@JOAORAMOS.ORG