보이스챗봇시대의사용자 uxŠ¸렌드세미나... · 2017. 3. 28. ·...
TRANSCRIPT
보이스 챗봇 시대의 사용자 UX
SUNGJAE HWANG (PH.D)Co-founder & CPO, Fluenty Inc.
www.UXInventor.comwww.UXInventions.com
WHO AM I
0
Sungjae Hwang is an inventor, entrepreneur and investor. He is a partner of FuturePlay Inc., which builds and invests tech-centric start-ups innovating human-computer interactions. He got his Ph.D from Culture Technology in KAIST and has published 35+ papers and 350+ patents that introduce novel input techniques for future smart devices. Among them, several inventions have been transacted to the world’s leading companies such as Samsung, LG Electronics and NPEs,
and some have been used as seed ideas for start-ups.
Other profiles: Marquis Who’s Who, The world’s leading IP strategists 300, Naver, Wikipedia
SUNGJAE HWANG (PH.D)
:: Co-found ::
IPCUBE
:: Invention feat ::
Fluenty.ai: Chatbot building platform
Fluenty.AI
포스트 스마트폰 시대, 인공지능과 챗봇
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딥러닝 인공지능 기술의 부상
챗봇(Chatbot)의 부상
보이스 챗봇(Chatbot)의 대중화
THE EVOLUTION OF AI
지능(INTELLIGENCE)
학습 (LEARNING) 지각 (PERCEPTION) 추론 (INFERENCE)
DEEP LEARNING(Deep Neural Network)
MACHINE LEARNINGTREE SEARCH
지능(INTELLIGENCE)
MACHINE LEARNING
Recommendation(supervised – prescriptive)
Association Rule(supervised / unsupervised)
MACHINE LEARNING
Hidden layer를 늘리면 Classification 성능이 놀라간다Source: http://www.slideshare.net/secondmath/deep-learning-by-
jskim
DEEP LEARNING
DEEP LEARNING
DEEP LEARNING BIG PLAYERS
http://insights.venturescanner.com/2016/03/22/artificial-intelligence-q1-update-in-15-visuals/
https://www.cbinsights.com/blog/top-acquirers-ai-startups-ma-timeline/
https://www.cbinsights.com/blog/artificial-intelligence-startups-q1-2016-funding/
THE EVOLUTION OFCHATBOT
Fluenty.ai
Examples of a Fluenty.ai-powered chatbot
Speech-to-Text
오늘부터 이번수요일까지 송도 근
처 호텔 있어?”
NLU(Fluenty.ai)
{“Intent”: 호텔검색,“check-in”: “2016-11-28”,“check-out”: “2016-11-30”,
“location”: “송도”}
Chatbot dialoguesDevice
Fluenty.ai
How it works
Fluenty.ai
How it works
UX LIMITATION
VS
UX EXAMPLE
THE EVOLUTION OFVOICE-CHATBOT
Voice Chatbots
Voice-chatbots at this moment
Voice Chatbots at CES 2017Emotech’s Olly
Voice Chatbots at CES 2017Bosch-supported Mayfield Robotics
Alexa is everywhere
AristotleHopper LG Smart refrigerator Bixi Ford & Volkswagen
Samsung’s Roomba(control)
LG Hub GE ring lamp(control)
Coway Airmega(control)
Pebble core
Alexa is everywhere
Alexa is now Operating Systemizing
https://stratechery.com/2017/amazons-operating-system/
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음성형 챗봇 인터렉션에서의 사용자 경험 (UX)
(http://www.noahlab.com.hk/labvision/research_hci)
HCI: Minimize the barrier between human and computer
A long-term goals of HCI is the attempt to minimize the barrier between the human cognitive model and the understanding of a computer.
BACKGROUND : Minimize the barrier between human and computer
Sensor(communication channel)
Modality(communication channel)
Effects
(http://www.qualcomm.com/news/snapdragon/2014/04/24/behind-sixth-sense-smartphones-snapdragon-processor-sensor-engine)
BACKGROUND: Sensor of Computer
(www.androidnova.org)
(Silbernagl et al., 1979)
Humans naturally perceive surrounding sensory information in multimodal ways. Examples of major modalities include vision, audition, touch, taste, smell, and equilibrioception (the perception of balance).
BACKGROUND: Sensor of Humans
A Change of Traditional Input Method
Graphical UICommand-line UI Tangible UI Bio-centric UI
Time
Portability
Handheld Device
IoT / Wearable Device
Personal Computer
How to interact with these smart things?
The always-on interface for massive devices
Key Input & output
Always there Always on Always perform
InputKeyboard, Mouse Touch, Motion Gesture
Output Visual + Auditory Visual + Auditory + Tactile
Motion, EGG, EMG, Eye Tracking
Visual + Auditory + Tactile
Always Around
Voice, Motion, Bio
Visual + Auditory + (Movement)
Pulse , Blood Pressure, Weight Context
Voice-Chatbot feedbacks
Visual Auditory (Movement)
AI Speaker is the first step to evolve into a robot.
사용성의한계
킬러앱의부재
프라이버시이슈
• Performance
• E.g., 자연스러운 대화 능력
• User eXperience
• E.g., 보이스 챗봇의 바운스백 인터렉션은 무엇인가?
• Costs
• E.g., 공짜 또는 저렴한 가격
• Privacy
• E.g., 개인정보 유출, 결제 주문 등.
• Environmental Singularity.
• E.g., 다른 IoT 기기와의 강한 연결 (Strong-Integration), 메타 서비스의 유인.
KEY ISSUES IN VOICE CHATBOT INTERACTION
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메타 서비스의 시작
Wea
r
ne
ar
sca
tter
Low-Interactivity High-Interactivity
IoT Map (Integrated with AI)
Smart Environment – Meta context
Wearable
Nearables IoTs
+ +
Meta services
AI (Big data)Meta context
Meta Service
Example - Meta services
US008615473, Method and system for anticipatory package shipping, Amazon technologies, Inc.
Hyper Connected IoTs
Knowledge flows
SUNGJAE HWANG, Ph.D
Blog : www.inventUp.orgHome : www.UXInventor.com
Micro Blog : www.UXInventions.com