AIELA is a patent pending blockchain emotion AI platform integrated with AI chatbot technology for developing maximum customer’s royalty. AIELA utilizes AI chatbot to form a friendly relationship with users and obtain various user information. AI chatbot can be implemented in user wallet for a cryptocurrency transaction. AIELA uses emotion recognition engine to detect users’ emotion. It can measure facial expressions of emotion using any optical sensor such as cameras attached in smartphones. It also can measures vocal expressions of emotion using any audio sensor such as microphone.

1. AIELATM: Chatbot for
Blockchain Emotion AI Platform
Alex G. Lee, PhD
CTO/Elamachain Foundation
Managing Partner/Elamachain USA
페이스북 챗봇 개발자 모임

2. AI for Customer/User Experience
Optimal customer experience is achieved when a business remembers a
customer and treats them with attention, respect and consideration.
Evolutionary stages of AI for new customer/user experience:
Curation: AI learns about a customer’s preferences and provides the most
relevant information regarding the preferences.
Customized information: AI understands customer queries and intent and
provides customized information in real time.
Recommendations: AI makes recommendations to find and choose the
right products and services. AI engages customers to deliver conversational
experiences and truly personalized recommendations.
Predictions: AI predicts user behavior to deliver proactive customer
support, which increases loyalty in more relevant and personalized ways.
Automation: AI automates customer's daily tasks.
Contextual analysis: AI detects customer’s current emotion using facial
expressions, gestures, body language and tone of voice to deliver the
optimal experience by adapting customer’s experience to mood.

3. Specific AI Technologies for Customer/User Experience I
Chatbots
Chatbots are AI-based conversation agents that are being used in many
different customer-engagement scenarios. They are designed to
simulate human interactions and provide immediate, personalized
responses 24*7. Chatbots interact directly with customers to provide
information, process support inquiries, or solve simple problems.
Chatbots vary in technical complexity, ranging from being simple scripted
experiences to leveraging state-of-the-art natural language processing
(NLP) and understanding (NLU) techniques.
Recommendation (Recommender) Systems
Recommendation systems are making it possible to take the leap from
merely organizing information to offering personalized suggestions or
advice according to specific tastes or needs in an automated way.
Recommendation systems learn from patterns in customer’s behavior
data and are able to form new relationships. Recommendation learn to
find and choose new suggestions for each customer.

4. Specific AI Technologies for Customer/User Experience II
Sentiment Analysis
Sentiment analysis analyzes textual data, such as emails, social media
posts, survey responses, or chat and call logs, for emotional information.
Sentiment analysis can transform subtle nuances in textual data into
accurate insights about a customer’s feelings, needs, and wants.
Sentiment analysis can find out when customers are having a specific
issue with a product, which help to take more focused action in a timely
manner.
Emotion AI
Emotional Intelligence enhances AI's ability to understand emotional
input, and continually adapt to and learn from information to provide
human-like responses in real time. Emotion AI, or affective computing,
trains AI to recognize, interpret, and respond to human emotion in text,
voice, facial expressions, or body language. As customers increased
their level of emotional connectedness with a brand/product/service, their
value increased alongside it. And there was a massive increase in value
when they reached the highest level of emotional connectedness.

5. Blockchain + AI Chatbot Integration Use Cases
Blockchains create shared and trusted ledgers that track the ownership
of various assets. Blockchain integrated with AI chatbots enables an
automated way of managing those assets in a trusted and secure
manner.
Oracle Car Buying/Selling Demo

6. Emotion AI Technology I
Humans use a lot of non-verbal cues, such as facial expressions,
gesture, body language and tone of voice, to communicate their
emotions.
Emotion detection – Face
Emotion AI measures facial expressions of emotion, using any optical
sensor. Emotion AI technology first identifies a human face in real time or
in an image or video. Computer vision algorithms identify key landmarks
on the face – for example, the corners of eyebrows, the tip of nose, the
corners of your mouth. Deep learning algorithms then analyze pixels in
those regions to classify facial expressions. Combinations of these facial
expressions are then mapped to emotions (anger, contempt, disgust,
fear, joy, sadness and surprise).

7. Emotion AI Technology II
Emotion AI uses a combination of a convolutional neural network (CNN)
and long short-term memory (LSTM) that is capable of recognizing
patterns in sequences of images.
Emotion detection – Speech
Emotion AI analyzes how it is said, observing changes in speech
paralinguistics, tone, loudness, tempo, and voice quality to distinguish
speech events, emotions, and gender.
Multimodal Emotion AI combines analysis of both face and speech as
complementary signals to provide richer insight into the human
expression of emotion.

8. Emotion AI Chatbot Insights from Patents
US20180196796 (SYSTEMS AND METHODS FOR A MULTIPLE TOPIC
CHATBOT)
A multiple topic AI chatbot can respond to user queries and
spontaneously respond in a conversation with multiple topics with one or
multiple users. The multiple topic AI chatbot utilizes deep learning and
sentiment analysis to identify topics, determine and score relationships
between users, determine and score topic engagement, and to
determine and score user-topic interest.
The sentiment system analyzes the input sentences associated with
each topic to determine an emotion for each topic. The sentiment system
also assigns an emotion label that represents the emotion of a user for
each input sentence of a user in a conversation.
The multiple topic AI chatbot utilizes user feedback and/or world
feedback to train and update the deep learning algorithms to improve the
multiple topic AI chatbot's responses over time.
The multiple topic AI chatbot is capable of tracking multiple topics in a
conversation with one or multiple users and providing contextually and
emotionally appropriate spontaneous responses or requested
responses.

9. AIELATM Introduction
AIELATM is a patent pending blockchain emotion AI platform integrated
with AI chatbot technology for developing maximum customer’s royalty.
AIELATM utilizes AI chatbot to form a friendly relationship with users and
obtain various user information. AI chatbot can be implemented in user
wallet for a cryptocurrency transaction.
AIELATM uses emotion recognition engine to detect users’ emotion. It can
measure facial expressions of emotion using any optical sensor such as
cameras attached in smartphones. It also can measures vocal
expressions of emotion using any audio sensor such as microphone.

10. UI of AIELATM Chatbot Wallet

11. AIELATM Mission
AIELATM mission is a task that is performed by a user to find user’s needs
and emotional preference. Users complete missions utilizing a blockchain
cryptocurrency transaction system.
AIELATM Mission is an output of interactive communication between users
and AIELATM. AIELATM actively engages in conversation for better
understanding of user behavior while recommending various types of
missions. Missions recommend some products/services/ activities or options
using a recommender engine. Users who provide data of conversation,
measured in quantity and quality, which leads to higher affinity level with
AIELATM gets higher rewards.
For example, a mission can be linked to a product/service promotion
program giving out discount coupons and other incentives such as
free coffee in Starbucks or a ticket for the concert. When users pay for
the promotional product/service with the blockchain cryptocurrency
transaction system, it counts as a mission completion. Amount of
rewards is accounted according to paid amount of coin and discount
rate of product/service.

12. System for AIELATM

13. Procedure for AIELATM

14. Global Development Collaboration with Boston R&D Center