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Memory Connected
Extending Memory on the Web
via Human-Centric Knowledge Exchange Network
Jie Bao and Li Ding
1
Memect
Memory Connected
Presented at W3C Workshop on Social Standards: The Future of Business, 7-8 August 2013, San Francisco, USA
Memect
Memory Connected
Where is my data?
• I’m locked in a garden
• Ownership?
• Needs for open exchange
• I don’t use a garden
• Prefer not: security, cost
• Needed, but no service
2
person A Person B
Silo Y
Silo X
http://www.w3.org/2005/Incubator/socialweb/XGR-socialweb-20101206/
Memect
Memory Connected
Human-Centric Design – Three principles
Human readable knowledge
Tangible rewards and cost reduction
Bottom-up growth scales
3
Memect
Memory Connected
Human Centric Design – Principle 1
4
Human readable knowledge
• To extend human’s memory, not only store, but also recall
• To facilitate human communication
Communicate
Memect
Memory Connected
Human readable knowledge: Design Issues
• For developers
• Readable code and data (e.g. JSON, python)
• Reusable code and data (e.g. snippet, modules)
• For users
• Readable data (e.g. visual vs. raw text)
• Explorable data (e.g. faceted browsing)
5
“programs must be written for people to
read, and only incidentally for machines
to execute” (Abelson and Sussman , 1984)
http://mitpress.mit.edu/sicp/front/node3.html
Memect
Memory Connected
Human Centric Design – Principle 2
6
Tangible rewards and cost reduction
• To obtain instant rewards and feedbacks
• To enable cheap start
Books
take months
--------------------
130M/ so far
(est. by Google)
http://googleblog.blogspot.com/2010/08/you-can-count-number-of-books-in-world.html (2010)
http://en.wordpress.com/stats/ (2013)
https://blog.twitter.com/2011/numbers (2012)
Blog Posts
take days
--------------------
47M/month
@wordpress
Tweets
take minutes
--------------------
140M/day
@twitter
Memect
Memory Connected
Tangible rewards and cost reduction: Design Issues
• For developers
• Ownership of code and data, e.g. fork vs. branch
• Keep it simple, e.g. RESTful vs. SOAP
• For users
• Social/cognitive rewards often work better than money.
e.g. stackoverflow vs. google answer
• Expect immediate response from system, e.g. wikipedia,
electronic spreadsheet
7
Memect
Memory Connected
Human Centric Design – Principle 3
8
Bottom-up growth scales
• Top-down: consensus may take years, by experts
• Bottom-up: shared and evolving, by users
Memect
Memory Connected
Bottom-up growth: Design Issues
• For developers
• Leverage well-adopted technologies, e.g. json, csv,
• Data can have mixed representations
• Live schema from live data
• Coding in evolving, agile, mashup fashion
• For users
• Publish data now, refine it on demand
• My data first
9
Memect
Memory Connected
Use-case Study
• Support mailing list users
• Daily routine: improve signal/noise ratio
• Conversation: need timely response
• Topic: find relevant discussions for a topic
• Contact: trust in unfamiliar contact, activity stream
• Support team common knowledge
• Shared understanding: reduce unnecessary cost in
consensus making
• Is consensus just the project manager’s view?
• Group memory and knowledge transfer: versatile
search/navigation tools to recall team knowledge
10
Memect
Memory Connected
Vision: Knowledge Exchange Network
• Extended Memory: capture and organize
• Connected Memory: exchange
11
person A
Person B
person C
Broker X
Broker Z
Broker Y
Questions and Comments?

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Memory Connected

  • 1. Memory Connected Extending Memory on the Web via Human-Centric Knowledge Exchange Network Jie Bao and Li Ding 1 Memect Memory Connected Presented at W3C Workshop on Social Standards: The Future of Business, 7-8 August 2013, San Francisco, USA
  • 2. Memect Memory Connected Where is my data? • I’m locked in a garden • Ownership? • Needs for open exchange • I don’t use a garden • Prefer not: security, cost • Needed, but no service 2 person A Person B Silo Y Silo X http://www.w3.org/2005/Incubator/socialweb/XGR-socialweb-20101206/
  • 3. Memect Memory Connected Human-Centric Design – Three principles Human readable knowledge Tangible rewards and cost reduction Bottom-up growth scales 3
  • 4. Memect Memory Connected Human Centric Design – Principle 1 4 Human readable knowledge • To extend human’s memory, not only store, but also recall • To facilitate human communication Communicate
  • 5. Memect Memory Connected Human readable knowledge: Design Issues • For developers • Readable code and data (e.g. JSON, python) • Reusable code and data (e.g. snippet, modules) • For users • Readable data (e.g. visual vs. raw text) • Explorable data (e.g. faceted browsing) 5 “programs must be written for people to read, and only incidentally for machines to execute” (Abelson and Sussman , 1984) http://mitpress.mit.edu/sicp/front/node3.html
  • 6. Memect Memory Connected Human Centric Design – Principle 2 6 Tangible rewards and cost reduction • To obtain instant rewards and feedbacks • To enable cheap start Books take months -------------------- 130M/ so far (est. by Google) http://googleblog.blogspot.com/2010/08/you-can-count-number-of-books-in-world.html (2010) http://en.wordpress.com/stats/ (2013) https://blog.twitter.com/2011/numbers (2012) Blog Posts take days -------------------- 47M/month @wordpress Tweets take minutes -------------------- 140M/day @twitter
  • 7. Memect Memory Connected Tangible rewards and cost reduction: Design Issues • For developers • Ownership of code and data, e.g. fork vs. branch • Keep it simple, e.g. RESTful vs. SOAP • For users • Social/cognitive rewards often work better than money. e.g. stackoverflow vs. google answer • Expect immediate response from system, e.g. wikipedia, electronic spreadsheet 7
  • 8. Memect Memory Connected Human Centric Design – Principle 3 8 Bottom-up growth scales • Top-down: consensus may take years, by experts • Bottom-up: shared and evolving, by users
  • 9. Memect Memory Connected Bottom-up growth: Design Issues • For developers • Leverage well-adopted technologies, e.g. json, csv, • Data can have mixed representations • Live schema from live data • Coding in evolving, agile, mashup fashion • For users • Publish data now, refine it on demand • My data first 9
  • 10. Memect Memory Connected Use-case Study • Support mailing list users • Daily routine: improve signal/noise ratio • Conversation: need timely response • Topic: find relevant discussions for a topic • Contact: trust in unfamiliar contact, activity stream • Support team common knowledge • Shared understanding: reduce unnecessary cost in consensus making • Is consensus just the project manager’s view? • Group memory and knowledge transfer: versatile search/navigation tools to recall team knowledge 10
  • 11. Memect Memory Connected Vision: Knowledge Exchange Network • Extended Memory: capture and organize • Connected Memory: exchange 11 person A Person B person C Broker X Broker Z Broker Y Questions and Comments?