Showing posts with label age of context. Show all posts
Showing posts with label age of context. Show all posts

Friday, May 16, 2014

[lecture] 왜 지금 ‘컨텍스트의 시대’를 논하는가? (App Center)

Title
-(translation) Why now are we talking about “Age of Context?”
Place
KAIST Dogok Software Grad School 101-ho
Time
May 16, 2014 7PM~9:20PM
Speaker
박지훈, 이구환, Ciren Jang
Organizer
App Center
Focus
5 forces for contexts

I.       Message (c.f. Amazon: booklink)
1.       Related terms
1)      Definition of context: the circumstances and facts that surround a situation
2)      “If content is king, context is god.” – Gary Vaynerchuk
2.       Five forces shaping the age of context
1)      Mobile: mostly wearables
2)      Social media: real-time emotions on SNS
3)      Data: analyzable large data
4)      Sensors: eyeball tracker at Google Glass, light and humidity sensor at Plant Sensor, temperature and humidity sensor at Nest, depth sensor at Prime Sense
5)      LBS: foursquare, Check-in, Waze, Asthmas Police
3.       Application: Try to think of value-added services based on the above 5 forces
4.       Example
1)      Personalized and predictive service
  Google Glass- e.g. displaying my stock portfolio info
  Google Search- e.g. Jejudo ticket info can be displayed at the top of SRP
  MindMeld- e.g. previous conversation info is displayed during video-chatting
  IBM Watson- e.g. predict why a person has to have a certain sickness by analyzing the person’s data
  Google Now- e.g. flight ticket info can be displayed on SRP
  23andMe- e.g. DNA analysis service to provide probability report to get a certain disease
2)      Anticipatory services and products
  SRI’s tempo- utilized all possible information related to calendar schedule (e.g. parking info around meeting locations and emails related to the meeting)
  Tapingo- utilized time and place info (e.g. you used to eat Chinese food today, would you like to eat it today?)
  Tagwhat- telling you what’s happening nearby
3)      Context means business
  Knowing everything about customers: Uber and GE’s industrial Internet
  Knowing your customer in deep detail
A       Audience.fm
B       Datasift- analyzes Tweeted messages via Twitter’s Firehose
C       Vintank- recommends wines based on user’s wine related tweet through their user profiling technology
5.       Case utilizing all 5 forces?
1)      Disney’s RFID bracelet- visited restaurant, used as a payment tool
  identifies a customer spending lots of money and sends coupon notification to make customers spend more money
2)      Belgium museum’s iBeacon- sends description of a museum item to visitors
3)      Yahoo’s Marissa Mayer- announced that Yahoo search engine will provide contextual search results
4)      Mercedes-Benz- preparing a service predicting passengers’ directions based on dates, riders, and previous destinations
6.       Contextual privacy: e.g. Friends’ nearby, Edward Snowden
7.       Ask below questions for opportunities--> to come up with services saving people’s time
1)      Do you know your customer?
2)      Are you building highly personalized systems? Or are you serving those who are?
3)      Do you see a way to “Uberize” your business?
4)      Are you dreaming of a new sensor-based world and how it might be different?
5)      Are you hanging out with people who are building next generation technologies?

II.      Takeaway
1.       Anticipatory services and products cases