Emotion AI Chatbot Services

Emotion AI Chatbot Services
Emotional Intelligence Chatbot Service

Elamachain

In emotional AI, the relationship between the user andnthe AI is built focusing on conversation.

Emotional AIELA, grows with conversations of AI, suggesting actions and recommendation of consumption through interactions based on natural language processing systems like communicating with real people, to maximize the cognitive and emotional satisfaction of the user. It is used in conjunction with the various DAPP services available on the Elamachain platform. Chatbots can receive data not only through letters but also through various input devices such as voice or camera images.

In emotional AI, the relationship between the user andnthe AI is built focusing on conversation.

Emotional AIELA, grows with conversations of AI, suggesting actions and recommendation of consumption through interactions based on natural language processing systems like communicating with real people, to maximize the cognitive and emotional satisfaction of the user. It is used in conjunction with the various DAPP services available on the Elamachain platform. Chatbots can receive data not only through letters but also through various input devices such as voice or camera images.

First meeting with ELA and conversation

Now, here is your fluttering first meeting with ELA. When a user selects the conversation character of the choice and starts the conversation with ELA, a surprising world will begin.

“ELA wants to know your every daily life. Nicely answer to ELA’s questions. Ask what you want to know from ELA and ELA will answer. If you repeat such casual conversations with ELA, ELA’s affinity level will go up! “

Emotional conversation with ELA is conducted via user-selected characters. Custom characters differ in emotional settings, conversation tone, and visual avatar. Some of the characters and their likelihood are as below

When you choose a character and meet your unique ELA, ELA’s exclusive AI service will actively engage in emotional conversation with you. ELA will learn through text-based conversation of the big data for recognizing your spending patterns, spending process, and influence factors ( recognition, emotion ) throughout behavioral analysis.
Then, via machine learning, it will study to recommend the optimized life choices that suits user’s preference.

ELA collects the baseline information on user behavior talking with users as a friend or family. Processed and analyzed user information then are ELA devises this 6-staged consumption purchasing process.