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ViralVCD
Tracing Information-Diffusion Paths with Low
Cost Media in Developing Communities




Nithya Sambasivan, UC , Irvine
Ed Cutrell, Microsoft Research India
Kentaro Toyama, UC, Berkeley
The problem
• ICT4D projects assess need, relevance, and scope for
  development
  – Often community-centered
     • Study technology penetration /use in a community
     • Understand key players and dynamics of diffusion
• Surveys and interviews limited by lack of in-situ
  monitoring
• Experience sampling and probes fail to scale in
  communities
Enter ViralVCD
• A low-cost, rapid data elicitation technique for low-
  income contexts
• Employs physical media and mobile phone
  questionnaires
• Gathers data that is:
  – Social: networks underpinning diffusion
  – Technological: ownership, access, and usage
  – Developmental: assessment of baseline
• Combines probes and snowball sampling
  – Contextualized in technology use
  – Caters to local practices
The site
• Preliminary ethnographic study in 2 slums in
  Bangalore, India (female domestic workers)
• Total: 7 slums in deployment
• In collaboration with NGOs
• Topics for conversation: healthcare and education
• 30 / 64 households owned a DVD player
The process



Participatory   Screenings   Mobile call-in   Diffusion
videos + VCDs                  contest
Participatory videos
 • Useful and interesting content
   – 13 minutes at most
   – Showcase local practices to other communities
   – But a lens into its own diffusion
 • Observation of a subset of social networks
   – Interested in “development”
Nutritive cooking
Conducted a cooking contest
•Openly competitive
Nutritive cooking
•Local knowledge
•Taste and nutrition as criteria
Childhood education
 •Role play between two non-literate women
Dissemination
•Screenings, 2-3 VCDs per person
Call-in contest
•Missed calls, researcher calls back


                              ப ோன்
                               ண்ணுங்க!
                              ಫೋನ್ ಮಾಡಿ!


                         98411 21111
Call-in contest
•Entertainment idiom
Call-in contest
•Entertainment idiom
Call-in contest
• We determined
  –   Unique identifier / photo
  –   Socio-economic profile and baseline
  –   Source of VCD (person received from)
  –   Unique content-related question
• Correct answers
  – Utilitarian incentive (bed sheets or utensils)
  – Varied experimental conditions to test effects
• They then pass the VCD to someone else
  – Contest ended in a week
Results
• Gave 131 VCDs to 64 attendees
• Call response: 31.25% (50 unique callers)
Social insights
Micro-level
• Two forms of diffusion
  – Peer-to-peer (A→B→C)
  – Actor-driven (A→ (B and C)).
Macro-level
• Diffusion reflected social
  solidarity
• Helped understand
  relationships in an ecology
Technological insights
• Understand in-situ usage
• 50% of callers had proximate access (neighborhood
  access)
• All mobile, except for 4 pay phones
• Strong correlation between owing mobiles and DVD
  players
Developmental insights
• Development extensions
• Contest at the end necessitated viewing of videos
• No difference in diffusion across income levels
Opportunities
•   Provided a direct interview opportunity
•   Identify key players in communities
•   Assess the socio-technical makeup of the setting.
•   Across income levels, with appropriate incentive
•   Medium technological penetration may be sufficient
•   Identify and recruit peers of the same stratum,
    possibly across communities.
Conclusion
• Avoided additional infrastructure
• Helped us understand
  – Social networks
  – Technological access and ownership
  – Developmental baseline
• Could use other pervasive technologies
  – Cassettes or notebooks
• More broadly applicable to CHI
OK ta-ta bye-bye!
                    Please refer to the
                    paper for a lengthier
                    discussion of method
                    and results.

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ViralVCD

  • 1. ViralVCD Tracing Information-Diffusion Paths with Low Cost Media in Developing Communities Nithya Sambasivan, UC , Irvine Ed Cutrell, Microsoft Research India Kentaro Toyama, UC, Berkeley
  • 2. The problem • ICT4D projects assess need, relevance, and scope for development – Often community-centered • Study technology penetration /use in a community • Understand key players and dynamics of diffusion • Surveys and interviews limited by lack of in-situ monitoring • Experience sampling and probes fail to scale in communities
  • 3. Enter ViralVCD • A low-cost, rapid data elicitation technique for low- income contexts • Employs physical media and mobile phone questionnaires • Gathers data that is: – Social: networks underpinning diffusion – Technological: ownership, access, and usage – Developmental: assessment of baseline • Combines probes and snowball sampling – Contextualized in technology use – Caters to local practices
  • 4. The site • Preliminary ethnographic study in 2 slums in Bangalore, India (female domestic workers) • Total: 7 slums in deployment • In collaboration with NGOs • Topics for conversation: healthcare and education • 30 / 64 households owned a DVD player
  • 5. The process Participatory Screenings Mobile call-in Diffusion videos + VCDs contest
  • 6. Participatory videos • Useful and interesting content – 13 minutes at most – Showcase local practices to other communities – But a lens into its own diffusion • Observation of a subset of social networks – Interested in “development”
  • 7. Nutritive cooking Conducted a cooking contest •Openly competitive
  • 9. Childhood education •Role play between two non-literate women
  • 11. Call-in contest •Missed calls, researcher calls back ப ோன் ண்ணுங்க! ಫೋನ್ ಮಾಡಿ! 98411 21111
  • 14. Call-in contest • We determined – Unique identifier / photo – Socio-economic profile and baseline – Source of VCD (person received from) – Unique content-related question • Correct answers – Utilitarian incentive (bed sheets or utensils) – Varied experimental conditions to test effects • They then pass the VCD to someone else – Contest ended in a week
  • 15. Results • Gave 131 VCDs to 64 attendees • Call response: 31.25% (50 unique callers)
  • 16. Social insights Micro-level • Two forms of diffusion – Peer-to-peer (A→B→C) – Actor-driven (A→ (B and C)). Macro-level • Diffusion reflected social solidarity • Helped understand relationships in an ecology
  • 17. Technological insights • Understand in-situ usage • 50% of callers had proximate access (neighborhood access) • All mobile, except for 4 pay phones • Strong correlation between owing mobiles and DVD players
  • 18. Developmental insights • Development extensions • Contest at the end necessitated viewing of videos • No difference in diffusion across income levels
  • 19. Opportunities • Provided a direct interview opportunity • Identify key players in communities • Assess the socio-technical makeup of the setting. • Across income levels, with appropriate incentive • Medium technological penetration may be sufficient • Identify and recruit peers of the same stratum, possibly across communities.
  • 20. Conclusion • Avoided additional infrastructure • Helped us understand – Social networks – Technological access and ownership – Developmental baseline • Could use other pervasive technologies – Cassettes or notebooks • More broadly applicable to CHI
  • 21. OK ta-ta bye-bye! Please refer to the paper for a lengthier discussion of method and results.