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TEAM DNA
2018.05.29 Semi-final
Contents
I. Concept Statement
II. Data Analysis & Insight
III. Possible persona
IV. Possible Models
V. Further Plans
. Chatbot-style
. Blockchain-based
Mechanisms and Social, Cognitive Influence of
Digital Analytics and Algorithms
Applied in Commercial Services
Title of the study
โ€œ
02
Study Description and Objective
to understand
the process and influence of
data analytics and algorithm
to deduce
the most efficient tracking
mechanism for a specific target base
to suggest
an improved approach
03
Subject of the Study
Single-person
Households
In their 20-30s
04
Research Design . Methods 05
Survey
In-depth
Interview
FGI Observation
Diary
Study
Data Analysis . Attitude toward Online Ads 06
Usage of personal
information,
area of interest
Data Analysis . Attitude toward Online Ads 07
Negative feelings
5๋ถ„ ์ „์— ๊ฒ€์ƒ‰ํ–ˆ๋˜ ์ƒํ’ˆ ๊ด‘๊ณ ๊ฐ€ ์œ ํŠœ๋ธŒ์— ๋‚˜์˜ฌ ๋•Œ
๊ธฐ๋ถ„์ด ๋ฌ˜ํ•˜๊ณ  ๋ฌด์„œ์› ์Œ
๋‚ด ์ •๋ณด๋ฅผ ์ด์šฉํ•˜๊ณ  ์žˆ๋‹ค๋Š” ์ƒ๊ฐ์ด ๋“ค์–ด ๋ถˆ์พŒํ–ˆ๋‹ค.
๋‚ด๊ฐ€ ์ž์ฃผ ๊ฐ€๊ณ  ๋ณด๋˜ ์ƒํ’ˆ๋“ค์ด ์˜จ๋ผ์ธ ๊ด‘๊ณ ๋กœ ๋‚˜ํƒ€๋‚˜์„œ ์†”์งํžˆ ์†Œ
๋ฆ„๋‹๋Š”๋‹ค.
์ฟ ํŒก์—์„œ ์‚ฌ๊ณ ์‹ถ์€ ๊ฒƒ๋“ค ๊ฒ€์ƒ‰ํ•˜๊ณ  ํŽ˜๋ถ์— ๋“ค์–ด๊ฐ”๋Š”๋ฐ ๋‚ด๊ฐ€ ๊ฒ€์ƒ‰
ํ–ˆ๋˜ ์ œํ’ˆ๋“ค์— ๊ด€ํ•œ ์ถ”์ฒœ ๊ด‘๊ณ ๊ฐ€ ์—„์ฒญ ๋– ์„œ ๊ธฐ๋ถ„ ๋‚˜๋นด์Œ ๋งˆ์น˜ ์‚ฌ์ฐฐ
๋‹นํ•˜๊ณ  ์žˆ๋Š” ๊ธฐ๋ถ„์ด ๋“ค์—ˆ๋‹ค.
Privacy Invasion _ Scared, uncomfortable
ํƒ€๊ฒŸํŒ… ์‹œ์Šคํ…œ์ด ํšจ๊ณผ์ ์ด์ง€ ๋ชปํ•œ ๊ฒƒ ๊ฐ™์Œ
๊ต‰์žฅํžˆ ์งœ์ฆ์ด ๋‚ฌ์Œ
์‚ฐ ๊ฒƒ๋„ ๋˜ ์‚ฌ๋ผ๊ณ  ๋‚  ๋”ฐ๋ผ๋‹ค๋‹ˆ๋ฉด์„œ ๊ด‘๊ณ ํ•ด
์ •๋ง ์Œฉ๋šฑ๋งž์€ ๊ฒƒ๋“ค๋„ ์žˆ์–ด์„œ ์งœ์ฆ๋‚œ๋‹ค.
์‹ฌ์ง€์–ด ๊ตฌ๊ธ€ ์• ๋“œ์…‹ํŒ…์—์„œ ๋‚ด๊ฐ€ ์‹ซ์–ดํ•˜๋Š” ํ•ญ๋ชฉ์— ์ถ”๊ฐ€ํ–ˆ๋Š”๋ฐ๋„ ๊ณ„์† ๋‚˜์™€์„œ
๋งค์šฐ ์งœ์ฆ๋‚ฌ๋‹ค.
ads that I havelost interest in continue to show up, and they become
bothersome
Irrelevant Ads _ irritated
Data Analysis . Attitude toward Online Ads 08
Positive feelings
Relevancy, Contents, fun/humorous
๋‚˜๋ฅผ ๋Œ€์ƒ์œผ๋กœ ํ•œ ๊ด‘๊ณ ๋“ค์€ ๋‚ด๊ฐ€ ์ƒˆ๋กœ์šด ์ƒํ’ˆ์— ๋Œ€ํ•œ ์ •๋ณด๋ฅผ ์–ป์„ ์ˆ˜ ์žˆ์–ด์„œ ์ข‹์€๋ฐ
ํ•œํŽธ์œผ๋ก  ๋‚ด๊ฐ€ ๊ด€์‹ฌ์žˆ์–ด ํ•˜๋Š” ์ œํ’ˆ๋“ค์„ ์ค‘์ ์ ์œผ๋กœ ์ถ”์ฒœํ•ด์ฃผ๋Š”๊ฑฐ๋‹ˆ ์–ธ์  ๊ฐ€ ํ•œ๋ฒˆ์ฏค์€
๋‚˜์—๊ฒŒ ์ถ”์ฒœํ•ด์ค€ ๋Œ€์ƒ๋“ค ์ค‘์—์„œ ๊ตฌ๋งค๋ฅผ ํ•˜์ง€ ์•Š์„๊นŒ ์‹ถ๊ธฐ๋„ ํ–ˆ๋‹ค
์žฌ๋ฏธ์žˆ๋Š” ์œ ํŠœ๋ธŒ ๊ด‘๊ณ ๋“ค์€ ์Šคํ‚ตํ•˜์ง€ ์•Š๊ณ  ๋ณธ๋‹ค.
์œ ํŠœ๋ธŒ ๊ด‘๊ณ ๊ฐ€ ๋„ˆ๋ฌด ์žฌ๋ฐŒ์–ด์„œ ํ‰์†Œ ๋ฐฅ ๋จน๋“ฏ ํ•˜๋˜ ๊ด‘๊ณ  ๋›ฐ์–ด๋„˜๊ธฐ ๋ฒ„ํŠผ ํด๋ฆญํ•˜๋Š” ๊ฑธ ์žŠ
์–ด๋ฒ„๋ฆฌ๊ณ  ๊ด‘๊ณ ๋ฅผ ๋๊นŒ์ง€ ๋‹ค ๋ด๋ฒ„๋ฆฐ ๊ฒƒ...
๋ฏธ์ƒค ์œ ๋ณ‘์žฌ ๊ด‘๊ณ  (์›ƒ๊น€)
์งง๊ณ  ์žฌ๋ฐŒ๋Š”
Habitual
Purchase
Habitual
Purchase
Habitual
Purchase
Data Analysis . Improvement Insights 09
Issue of
controllability
Privacy
Issue
Habitual
Purchase
More
impulsive
purchase
Transparent
security
Direct
control
Habitual
Purchase
Irrelevant
Users
can adjust
relevancy
Possible Persona 10
20-30s
?
habitual
Bedtime, 15+
Informative
& fun
Perceives ads as
Easily
affected by ads
Several times a day/week
wants control
For higher relevance
Not too
offended
By for personal info
being tracked down
Possible Models 11
Ads manager
1. Chatbot-type
Similar to the ChatBot style.
Widget is personified/characterized,
providing different kinds of characters.
Adopt pet raising style game.
A lot of interaction going on.
2. Blockchain-based
Similar to the Bitclave model
No ads platform/serivce provider
between consumers and sellers.
Information is encrypted with blockchain
technology. Users get reward if
transaction is successfullymade.
Possible Models. 1. Chatbot-style 12
Chatbot-style
The primary form of interaction will be conversing with the system via
a chat-bot interface. The user simply tells the system what he wants and the
system reacts accordingly.
The user can tell the system things like โ€œI need to buy quality dog food
because I have a corgi at home.โ€ orโ€œI want to advertise my handmade
accessories to teens who like fantasy.โ€
The system will use language processing software to understand the userโ€™s
needs and make appropriate changes to algorithms that concerns that user.
It will also always use conversational feedback to explicitly let the user know
when and what kind of information that the system has received and utilized.
After the initialization sequence is complete, the user is free to interact with
the system whenever he pleases using the dedicated app, social media
pages, or the widgets.
Possible Models. 1. Chatbot-style 13
Habitual
Purchase
Habitual
Purchase
Habitual
Purchase
Clear Feedback
via natural language
Happens within
Single Platform
Friendly
Characters
Less
Invasive
Less
Disturbing
More
Controllability
Possible Models. 1. Chatbot-style 14
Terms &
Condition
Initial
Preference Setting
(Tinder, Watcha)
Real-time
Adjustment
&feedback
(Natural language)
Possible Models. 1. Chatbot-style 15
1-a. Dedicated App
Possible Models. 1. Chatbot-style 16
1-b. Social Media App
Possible Models. 1. Chatbot-style 17
1-c. Web Widget
Possible Models. 1. Chatbot-style 18
1 +@. Personified/ Characterized
Possible Models. 1. Chatbot-style 19
1+@. Possible Commands
I likedthis product that you recommendedto me today.
I donโ€™t want to see any more ads on protein supplements.
Erase everything you know about me.
Send me statistics of the ads I sent out.
Possible Models. 2. Blockchain-based 20
Blockchain-based
Blockchain-based marketing/advertising platforms largely appeal to users
with their reward system of tokens, with the foremost premise being that the
reward does not go through any mediators within the process.The
provider/client delivers relevant ad contents AND equivalent rewards
DIRECTLY to the users.
Users trust the blockchain systemโ€™s security of encrypted, decentralized data
and agree to provide individual information.Provider/client collects and
analyzes the above information to provide each individual with optimized
promotional ad contents.
User will receive corresponding amount of token reward(ConsumerActivity
Token) within the system upon being exposed, orreacting to the above ads.
Such mechanism enables the user to be acknowledged of the value of his
personal information which had been utilized/abused for nothing.
The provider also benefits from this direct and mutual process by eliminating
the risks of breaching personal information regulations, and not having to
worry about the accuracy and relevancy of randomly collected partial data.
Possible Models. 2. Blockchain-based 21
Relevancy Non-mediated
Information
Security
Possible Models. 2. Blockchain-based 22
2+@. Basic Sketch
Possible Models. 2. Blockchain-based 23
2. Blockchain Model Information Architecture
Possible Models. 2. Blockchain-based 24
2โ€™. Influencer Targeting Ads Platform
Blockchain + Influencer
This slightly altered model reflects on the impact and possibility of token
reward, that such approach is highly likely to induce a positive, mutually
beneficial cycle of the production and distribution of quality-contents which
will lead to the infinite accumulation of consumerdata and vice versa.
Influencer(contents producer) receives token reward within the system
based on the viewers/consumers reaction/receptivity on his contents.
Consumers are also subject to token reward by exposing themselves to
these contents and responding/reacting to them.
The platform itself provides above information and is able to suggest the
optimal influencercontents to clients. The efficiency of such process(of
collecting and consuming data, reward, etc.) is maximized and optimized by
blockchain technology itself.
Further Plans. 25
2+@. More relevancy, time difference -> More efficiency
E.o.D
End of Document

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Team dna pitch semi-final

  • 2. Contents I. Concept Statement II. Data Analysis & Insight III. Possible persona IV. Possible Models V. Further Plans . Chatbot-style . Blockchain-based
  • 3. Mechanisms and Social, Cognitive Influence of Digital Analytics and Algorithms Applied in Commercial Services Title of the study โ€œ 02
  • 4. Study Description and Objective to understand the process and influence of data analytics and algorithm to deduce the most efficient tracking mechanism for a specific target base to suggest an improved approach 03
  • 5. Subject of the Study Single-person Households In their 20-30s 04
  • 6. Research Design . Methods 05 Survey In-depth Interview FGI Observation Diary Study
  • 7. Data Analysis . Attitude toward Online Ads 06 Usage of personal information, area of interest
  • 8. Data Analysis . Attitude toward Online Ads 07 Negative feelings 5๋ถ„ ์ „์— ๊ฒ€์ƒ‰ํ–ˆ๋˜ ์ƒํ’ˆ ๊ด‘๊ณ ๊ฐ€ ์œ ํŠœ๋ธŒ์— ๋‚˜์˜ฌ ๋•Œ ๊ธฐ๋ถ„์ด ๋ฌ˜ํ•˜๊ณ  ๋ฌด์„œ์› ์Œ ๋‚ด ์ •๋ณด๋ฅผ ์ด์šฉํ•˜๊ณ  ์žˆ๋‹ค๋Š” ์ƒ๊ฐ์ด ๋“ค์–ด ๋ถˆ์พŒํ–ˆ๋‹ค. ๋‚ด๊ฐ€ ์ž์ฃผ ๊ฐ€๊ณ  ๋ณด๋˜ ์ƒํ’ˆ๋“ค์ด ์˜จ๋ผ์ธ ๊ด‘๊ณ ๋กœ ๋‚˜ํƒ€๋‚˜์„œ ์†”์งํžˆ ์†Œ ๋ฆ„๋‹๋Š”๋‹ค. ์ฟ ํŒก์—์„œ ์‚ฌ๊ณ ์‹ถ์€ ๊ฒƒ๋“ค ๊ฒ€์ƒ‰ํ•˜๊ณ  ํŽ˜๋ถ์— ๋“ค์–ด๊ฐ”๋Š”๋ฐ ๋‚ด๊ฐ€ ๊ฒ€์ƒ‰ ํ–ˆ๋˜ ์ œํ’ˆ๋“ค์— ๊ด€ํ•œ ์ถ”์ฒœ ๊ด‘๊ณ ๊ฐ€ ์—„์ฒญ ๋– ์„œ ๊ธฐ๋ถ„ ๋‚˜๋นด์Œ ๋งˆ์น˜ ์‚ฌ์ฐฐ ๋‹นํ•˜๊ณ  ์žˆ๋Š” ๊ธฐ๋ถ„์ด ๋“ค์—ˆ๋‹ค. Privacy Invasion _ Scared, uncomfortable ํƒ€๊ฒŸํŒ… ์‹œ์Šคํ…œ์ด ํšจ๊ณผ์ ์ด์ง€ ๋ชปํ•œ ๊ฒƒ ๊ฐ™์Œ ๊ต‰์žฅํžˆ ์งœ์ฆ์ด ๋‚ฌ์Œ ์‚ฐ ๊ฒƒ๋„ ๋˜ ์‚ฌ๋ผ๊ณ  ๋‚  ๋”ฐ๋ผ๋‹ค๋‹ˆ๋ฉด์„œ ๊ด‘๊ณ ํ•ด ์ •๋ง ์Œฉ๋šฑ๋งž์€ ๊ฒƒ๋“ค๋„ ์žˆ์–ด์„œ ์งœ์ฆ๋‚œ๋‹ค. ์‹ฌ์ง€์–ด ๊ตฌ๊ธ€ ์• ๋“œ์…‹ํŒ…์—์„œ ๋‚ด๊ฐ€ ์‹ซ์–ดํ•˜๋Š” ํ•ญ๋ชฉ์— ์ถ”๊ฐ€ํ–ˆ๋Š”๋ฐ๋„ ๊ณ„์† ๋‚˜์™€์„œ ๋งค์šฐ ์งœ์ฆ๋‚ฌ๋‹ค. ads that I havelost interest in continue to show up, and they become bothersome Irrelevant Ads _ irritated
  • 9. Data Analysis . Attitude toward Online Ads 08 Positive feelings Relevancy, Contents, fun/humorous ๋‚˜๋ฅผ ๋Œ€์ƒ์œผ๋กœ ํ•œ ๊ด‘๊ณ ๋“ค์€ ๋‚ด๊ฐ€ ์ƒˆ๋กœ์šด ์ƒํ’ˆ์— ๋Œ€ํ•œ ์ •๋ณด๋ฅผ ์–ป์„ ์ˆ˜ ์žˆ์–ด์„œ ์ข‹์€๋ฐ ํ•œํŽธ์œผ๋ก  ๋‚ด๊ฐ€ ๊ด€์‹ฌ์žˆ์–ด ํ•˜๋Š” ์ œํ’ˆ๋“ค์„ ์ค‘์ ์ ์œผ๋กœ ์ถ”์ฒœํ•ด์ฃผ๋Š”๊ฑฐ๋‹ˆ ์–ธ์  ๊ฐ€ ํ•œ๋ฒˆ์ฏค์€ ๋‚˜์—๊ฒŒ ์ถ”์ฒœํ•ด์ค€ ๋Œ€์ƒ๋“ค ์ค‘์—์„œ ๊ตฌ๋งค๋ฅผ ํ•˜์ง€ ์•Š์„๊นŒ ์‹ถ๊ธฐ๋„ ํ–ˆ๋‹ค ์žฌ๋ฏธ์žˆ๋Š” ์œ ํŠœ๋ธŒ ๊ด‘๊ณ ๋“ค์€ ์Šคํ‚ตํ•˜์ง€ ์•Š๊ณ  ๋ณธ๋‹ค. ์œ ํŠœ๋ธŒ ๊ด‘๊ณ ๊ฐ€ ๋„ˆ๋ฌด ์žฌ๋ฐŒ์–ด์„œ ํ‰์†Œ ๋ฐฅ ๋จน๋“ฏ ํ•˜๋˜ ๊ด‘๊ณ  ๋›ฐ์–ด๋„˜๊ธฐ ๋ฒ„ํŠผ ํด๋ฆญํ•˜๋Š” ๊ฑธ ์žŠ ์–ด๋ฒ„๋ฆฌ๊ณ  ๊ด‘๊ณ ๋ฅผ ๋๊นŒ์ง€ ๋‹ค ๋ด๋ฒ„๋ฆฐ ๊ฒƒ... ๋ฏธ์ƒค ์œ ๋ณ‘์žฌ ๊ด‘๊ณ  (์›ƒ๊น€) ์งง๊ณ  ์žฌ๋ฐŒ๋Š”
  • 10. Habitual Purchase Habitual Purchase Habitual Purchase Data Analysis . Improvement Insights 09 Issue of controllability Privacy Issue Habitual Purchase More impulsive purchase Transparent security Direct control Habitual Purchase Irrelevant Users can adjust relevancy
  • 11. Possible Persona 10 20-30s ? habitual Bedtime, 15+ Informative & fun Perceives ads as Easily affected by ads Several times a day/week wants control For higher relevance Not too offended By for personal info being tracked down
  • 12. Possible Models 11 Ads manager 1. Chatbot-type Similar to the ChatBot style. Widget is personified/characterized, providing different kinds of characters. Adopt pet raising style game. A lot of interaction going on. 2. Blockchain-based Similar to the Bitclave model No ads platform/serivce provider between consumers and sellers. Information is encrypted with blockchain technology. Users get reward if transaction is successfullymade.
  • 13. Possible Models. 1. Chatbot-style 12 Chatbot-style The primary form of interaction will be conversing with the system via a chat-bot interface. The user simply tells the system what he wants and the system reacts accordingly. The user can tell the system things like โ€œI need to buy quality dog food because I have a corgi at home.โ€ orโ€œI want to advertise my handmade accessories to teens who like fantasy.โ€ The system will use language processing software to understand the userโ€™s needs and make appropriate changes to algorithms that concerns that user. It will also always use conversational feedback to explicitly let the user know when and what kind of information that the system has received and utilized. After the initialization sequence is complete, the user is free to interact with the system whenever he pleases using the dedicated app, social media pages, or the widgets.
  • 14. Possible Models. 1. Chatbot-style 13 Habitual Purchase Habitual Purchase Habitual Purchase Clear Feedback via natural language Happens within Single Platform Friendly Characters Less Invasive Less Disturbing More Controllability
  • 15. Possible Models. 1. Chatbot-style 14 Terms & Condition Initial Preference Setting (Tinder, Watcha) Real-time Adjustment &feedback (Natural language)
  • 16. Possible Models. 1. Chatbot-style 15 1-a. Dedicated App
  • 17. Possible Models. 1. Chatbot-style 16 1-b. Social Media App
  • 18. Possible Models. 1. Chatbot-style 17 1-c. Web Widget
  • 19. Possible Models. 1. Chatbot-style 18 1 +@. Personified/ Characterized
  • 20. Possible Models. 1. Chatbot-style 19 1+@. Possible Commands I likedthis product that you recommendedto me today. I donโ€™t want to see any more ads on protein supplements. Erase everything you know about me. Send me statistics of the ads I sent out.
  • 21. Possible Models. 2. Blockchain-based 20 Blockchain-based Blockchain-based marketing/advertising platforms largely appeal to users with their reward system of tokens, with the foremost premise being that the reward does not go through any mediators within the process.The provider/client delivers relevant ad contents AND equivalent rewards DIRECTLY to the users. Users trust the blockchain systemโ€™s security of encrypted, decentralized data and agree to provide individual information.Provider/client collects and analyzes the above information to provide each individual with optimized promotional ad contents. User will receive corresponding amount of token reward(ConsumerActivity Token) within the system upon being exposed, orreacting to the above ads. Such mechanism enables the user to be acknowledged of the value of his personal information which had been utilized/abused for nothing. The provider also benefits from this direct and mutual process by eliminating the risks of breaching personal information regulations, and not having to worry about the accuracy and relevancy of randomly collected partial data.
  • 22. Possible Models. 2. Blockchain-based 21 Relevancy Non-mediated Information Security
  • 23. Possible Models. 2. Blockchain-based 22 2+@. Basic Sketch
  • 24. Possible Models. 2. Blockchain-based 23 2. Blockchain Model Information Architecture
  • 25. Possible Models. 2. Blockchain-based 24 2โ€™. Influencer Targeting Ads Platform Blockchain + Influencer This slightly altered model reflects on the impact and possibility of token reward, that such approach is highly likely to induce a positive, mutually beneficial cycle of the production and distribution of quality-contents which will lead to the infinite accumulation of consumerdata and vice versa. Influencer(contents producer) receives token reward within the system based on the viewers/consumers reaction/receptivity on his contents. Consumers are also subject to token reward by exposing themselves to these contents and responding/reacting to them. The platform itself provides above information and is able to suggest the optimal influencercontents to clients. The efficiency of such process(of collecting and consuming data, reward, etc.) is maximized and optimized by blockchain technology itself.
  • 26. Further Plans. 25 2+@. More relevancy, time difference -> More efficiency