주제
|
Tech Planet 2012
|
장소
|
Coex International Harmony Ballroom
|
일시
|
2012년 11월 14일 (목) 9:30AM~6:30PM
|
강사
|
John Lagerling 외
|
주관
|
SK planet
|
초점
|
UX/UI, Big Data, Platform
|
I.
Intro / 서진우 / President & CEO, SK planet
1.
1천만 가입자까지 기간– 1989년 13개월 (AOL), 오늘날 4개월 (IOS, Android)
2.
SK Planet의 Focus - Open Platform, UX, Big Data
3.
Big Data
1)
드라마- KCTV Person of Interest
(Jonathan Nolan)
2)
Challenge- 개발자, 사용자 편의성 제공
3)
관심 부분- 지능형 개인화 (자연어 처리, 패턴분석, 추론기술), Social 개인화 (Social Indexing/Graph, 분석 engine)
4.
UX
1)
기술발전 : Recognition Tech (voice,
motion), browsing tech (AR, NFC, HTML5)
2)
User Centric Design : [감각, 감성] Design, multimodal UX
3)
Zero UX : zero input, distance,
latency
II.
Android : An ecosystem of
openness and innovation / John Lagerling / Director, Google
1.
Stats
1)
More Android devices are sold
than PCs.
2)
Countries : 169
3)
2012 Smartphone Penetration :
60%
2.
Current Google Business
1)
Device : Nexus 4, 10
2)
Development : seamless
integration and UI for smartphone, tablet, TV
3)
Android Apps : 675K
III.
Facebook News Feed: Social Data
at Scale / Serkan Piantino / Head of Engineering, Facebook NYC
1.
Facebook Users : 1 billion
2.
Social Graph : friends, brands,
political figures, etc. connected together
3.
News Feed : center column of
Facebook
4.
2 ways to use feeds : public
postings (megafeed), private postings (multifeed)
IV.
From UX to SX(Service
Experience) / Jamin Hegeman / Director, Adaptive Path
1.
UX vs SX : Transactional vs.
relationship
2.
Storyboard before diving into
UX design
3.
Service Blueprint : operations
are listed
4.
Research : ask why people
commute or use bus system before going into tasks at hand
5.
Outside in approach : Experience->
system
6.
Read “Outside in” by Kerry
Bodine
V.
Natural UI : 새로운 UI의 가능성과 한계 / 이태일 /
교수, 고려대 산업디자인학과
1.
기술적 정확성 vs. 낯설음
2.
2006 Nintendo Wii
3.
NI : gesture UI, LEAP Motion
4.
Understanding Media 1960대 : 미디어가 메시지다.
VI.
Designing Interactions &
Experiences for Private SNS / 하경제 / CDO, Sunnyloft
1.
BI : Capability to analyze
financial statement, ERP, CRM
2.
Why Big Data is important for
businesses?
1)
Need for being able to knowing
data, analysis, and proprose
3.
Hadoop- Hundreds of small
machines with analyzing capability
1)
Creating democracy of analyzing
data
2)
Open source- anyone can use
VII.
Data analysis on clouds / 이준섭
/ 팀장, SK planet
1.
추천방법
1)
CBF- content based filtering
① 예 : 장르, 스토리 전개, 주인공, 감독
② 단점: 누가 database 구성해야 함
2)
CF- collaborative filtering
① 사용 : 집단 지성 이용
② 방법 : 나와 비슷한 사람 찾고 (또는 그룹핑), 그 사람이 좋아한 것 추천
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