Research design and design-orientedresearch: A path to tell stories from data                                             ...
Research design and design-orientedresearch: A path to tell stories from data                                             ...
Overview          Introduction: Research ContextMethodology Path: Analyzing Photo-elicited Interviews         Outcome: Mak...
Introduction: Research Context
Community Multimedia Centres
RE-ACT Project                                              RQ1: What is the social                                       ...
RE-ACT Project                                              RQ1: What is the social                                       ...
Background        Qualitative         Analysis Outcomes
ArmchairAnthropologist   Paradox
Methodology Path: Analyzing   Photo-elicited Interviews
Data Collection: Photo-elicitation Positive Aspect of CMC  Negative  Aspect of  CMC What CMCrepresents forher/his life
Data Collection: Photo-elicitation        fFocus oAnalysis             Positive             Aspect of             CMC     ...
Thesis: Research QuestionWhat are the main positive and negativeperceptions of staff and users of CMCs in             Moza...
Data Description: Study Population                       101 Interviews                       55 Users & 48 Staff         ...
Data Description: CMCs in Mozambique              Chitima   Chiure        Morrumbene              Dondo     Chokwe        ...
Data Description: CMCs in Mozambique              Chitima   Chiure        Morrumbene              Dondo     Chokwe        ...
Data Description: Demographics
Methodology Steps  Photo Taxonomy Thematic AnalysisComparative Analysis   Cluster AnalysisUser/Staff Typologies    POV Per...
Photo TaxonomyRE-ACT Project: Prof. Lorenzo Cantoni, Dr. Isabella Rega and Sara Vannini           NewMinE Lab – Università...
Photo Taxonomy     Radio                                                Equipment     Telecentre                          ...
Thematic Analysis
Thematic Analysis
Comparisons
Comparisons
Comparisons
Comparisons     User Typologies           Staff TypologiesTrusting User                 External locus of controlInstrumen...
Cluster AnalysisUsers                      Staff
Cluster AnalysisUsers                      Staff
Outcomes: Making Sense of Data
How to condense the richness of the qualitative                data results?
How to move a step further from thedescription of results to design-oriented          research outcomes?
Taking inspiration from User-Centred Design
“Point of View” Personas
“Point of View” Personas
POV Personas                                   Role                                   Primary Motivation                  ...
Some Final Thoughts
Some Final ThoughtsThe explanatory power of narrative.        Room for creativity  Arriving to “usable” outcomes
Thank you all for your attention and feedback                                    Let’s talk                               ...
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Research design and Design-oriented Research

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  • Introduction: The ground I’m standing in Methodology: Steps that I followed. My difficulties and strenghts Outcome: How did I go from descriptive results to narratives that capture the complexity of qualitative data.
  • Brief
  • Action oriented: Results Communication
  • Quick!!!
  • Research design and Design-oriented Research

    1. 1. Research design and design-orientedresearch: A path to tell stories from data Lucía Aguirre-Sánchez Università della Svizzera Italiana Presented at the IPID 7th International Annual Symposium IPID - International Network of Postgraduate Students in the area of ICT4D Kristiansand, Norway September 2012
    2. 2. Research design and design-orientedresearch: A path to tell stories from data Lucía Aguirre-Sánchez Università della Svizzera Italiana Presented at the IPID 7th International Annual Symposium IPID - International Network of Postgraduate Students in the area of ICT4D Kristiansand, Norway September 2012
    3. 3. Overview Introduction: Research ContextMethodology Path: Analyzing Photo-elicited Interviews Outcome: Making Sense of Data Conclusions and Further Questions
    4. 4. Introduction: Research Context
    5. 5. Community Multimedia Centres
    6. 6. RE-ACT Project RQ1: What is the social representation of a CMC in theRE-ACT (social Representations of community where it has beencommunity multimedia centres and established?ACTions for improvement) RQ2: Does the location in which the CMC has been set up“studying the awareness and the influence the socialunderstanding that different social representation of it?.groups have of CMCs” “developing a tool to capture the extra-technological dimensions, which have an impact onto sustainability”
    7. 7. RE-ACT Project RQ1: What is the social representation of a CMC in theRE-ACT (social Representations of community where it has beencommunity multimedia centres and established?ACTions for improvement) RQ2: Does the location in which the CMC has been set up“studying the awareness and the influence the socialunderstanding that different social representation of it?.groups have of CMCs” “developing a tool to capture the extra-technological dimensions, which have an impact onto sustainability”
    8. 8. Background Qualitative Analysis Outcomes
    9. 9. ArmchairAnthropologist Paradox
    10. 10. Methodology Path: Analyzing Photo-elicited Interviews
    11. 11. Data Collection: Photo-elicitation Positive Aspect of CMC Negative Aspect of CMC What CMCrepresents forher/his life
    12. 12. Data Collection: Photo-elicitation fFocus oAnalysis Positive Aspect of CMC Negative Aspect of CMC What CMC represents for her/his life
    13. 13. Thesis: Research QuestionWhat are the main positive and negativeperceptions of staff and users of CMCs in Mozambique?
    14. 14. Data Description: Study Population 101 Interviews 55 Users & 48 Staff 303 Photos 10 CMCs
    15. 15. Data Description: CMCs in Mozambique Chitima Chiure Morrumbene Dondo Chokwe Cuamba Ilha Quelimane Sussundenga Xinavane
    16. 16. Data Description: CMCs in Mozambique Chitima Chiure Morrumbene Dondo Chokwe Cuamba Ilha Quelimane Sussundenga Xinavane
    17. 17. Data Description: Demographics
    18. 18. Methodology Steps Photo Taxonomy Thematic AnalysisComparative Analysis Cluster AnalysisUser/Staff Typologies POV Personas
    19. 19. Photo TaxonomyRE-ACT Project: Prof. Lorenzo Cantoni, Dr. Isabella Rega and Sara Vannini NewMinE Lab – Università della Svizzera Italiana
    20. 20. Photo Taxonomy Radio Equipment Telecentre Premises GeneralRE-ACT Project: Prof. Lorenzo Cantoni, Dr. Isabella Rega and Sara Vannini NewMinE Lab – Università della Svizzera Italiana
    21. 21. Thematic Analysis
    22. 22. Thematic Analysis
    23. 23. Comparisons
    24. 24. Comparisons
    25. 25. Comparisons
    26. 26. Comparisons User Typologies Staff TypologiesTrusting User External locus of controlInstrumental User Internal locus of controlHopeful UserVisitor User
    27. 27. Cluster AnalysisUsers Staff
    28. 28. Cluster AnalysisUsers Staff
    29. 29. Outcomes: Making Sense of Data
    30. 30. How to condense the richness of the qualitative data results?
    31. 31. How to move a step further from thedescription of results to design-oriented research outcomes?
    32. 32. Taking inspiration from User-Centred Design
    33. 33. “Point of View” Personas
    34. 34. “Point of View” Personas
    35. 35. POV Personas Role Primary Motivation Verbatim Persona’s silhouette Photos Demographics Photo Verbatim Region ProfileExperience in CMC
    36. 36. Some Final Thoughts
    37. 37. Some Final ThoughtsThe explanatory power of narrative. Room for creativity Arriving to “usable” outcomes
    38. 38. Thank you all for your attention and feedback Let’s talk @luciapurpura

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