Summary

Humans are emotional creatures, and emotions are an important driver of human cognition and behavior. With the development of artificial intelligence (AI) technology, more and more agents (Agents) have been designed and developed to interact and cooperate with humans in various forms and levels. The emotional communication ability of an agent refers to the ability of an agent to effectively recognize, express, understand, and manage the emotions of itself and others, and to use emotions to promote thinking, decision-making, creation, and relationships. The emotional communication ability of an agent has an important impact on the form of human society, because it can affect human social support, empathy, self-esteem, coping strategies, resilience, mental health, creativity, innovation, morality, and sense of responsibility, etc. . This article will introduce how to use AI technology to realize the emotional communication ability of the intelligent body, and how the emotional communication ability of the intelligent body will affect the way of human social interaction and consumption. This article will take PoppleWorld as an example to analyze a social product that uses AI technology to help users manage emotions and convey emotional value. It uses Web3 distributed technology to build a set of collection of user emotional data and form emotions through TOKEN incentive aggregation Vector database in the vertical field, and use it to train a large model that specifically solves user emotion management, and at the same time implant social elements in the product that assist users in in-depth interaction to provide emotional value, and process accurate insights according to the deeper needs of users Match needs, help users make confident purchase decisions and provide goods and services based on the source of consciousness, and establish a value system that guides our emotions and reactions. This article will predict whether AI emotional marketing will become the mainstream in the future, and summarize and analyze how the ability of intelligent agents to deal with emotional relationships will affect human society.

Key words

Intelligent body; emotional inference; emotional communication; human society; fluctuating world; AI technology

1. What is the emotional communication ability of an agent

An agent is an entity that has the characteristics of autonomy, responsiveness, initiative, and sociality, and can complete certain tasks or goals in a certain environment. Agents can be physically present, such as robots, driverless cars, etc.; they can also be virtual, such as chat robots, virtual assistants, etc. There are various forms and levels of interaction and cooperation between agents and humans, such as information exchange, task assignment, coordination and cooperation, etc.

Emotion is a complex and diverse psychological phenomenon, which includes subjective feelings, physiological responses, cognitive evaluation, and behavioral expressions. Emotion is an important driving force of human cognition and behavior, and it can affect human attitudes, judgments, decisions, creations, etc. towards oneself and others. Emotion is also an important part of human social interaction and communication, and it can affect human social support, empathy, self-esteem, coping strategies, resilience, mental health, etc.

Emotional inference is the ability to use cues such as language, voice, facial expressions, body posture, etc. to recognize and understand the emotional state of others or yourself. Emotional inference is an important part of human social interaction and communication, which can help us establish and maintain good interpersonal relationships and improve our emotional intelligence and empathy. Emotional inference is also a hot research direction in the field of artificial intelligence, which can enable intelligent systems to better adapt to human emotional needs and preferences, and provide a more natural and humanized interactive experience. For example, an emotional dialogue system can generate empathetic and comforting responses by analyzing the user's language and voice; emotional virtual agents can demonstrate human and individual behavior by simulating human facial expressions and body postures; emotional art generation The system can provide a novel and interesting way of self-expression by leveraging large language models to generate images that match user emotional descriptions. These are some examples of intelligent systems implemented using emotion inference techniques.

Emotional communication is the ability to effectively recognize, express, understand and manage your own and others' emotions. Emotional communication ability has an important impact on human consumption behavior, because it can affect consumers' needs, preferences, satisfaction, loyalty and recommendation willingness, etc. Emotional communication ability is also a hot research direction in the field of artificial intelligence, which can make intelligent systems better adapt to human emotional needs and preferences, and provide a more natural and humanized interactive experience.

The emotional communication ability of an agent refers to the ability of an agent to effectively recognize, express, understand and manage the emotions of itself and others, and to use emotions to promote thinking, decision-making, creation and relationship. The emotional communication ability of an agent can be divided into the following aspects:

• Emotion recognition: The agent can recognize and understand the emotional state of others or itself, such as happiness, sadness, anger, fear, etc., based on clues such as language, voice, facial expression, and body posture.

• Emotional expression: The agent can generate corresponding emotional expressions according to the emotional state of itself or others, such as language, voice, facial expression, body posture, etc.

• Emotional understanding: The agent can infer the corresponding emotional reasons, results, goals, strategies, etc. based on the emotional state of itself or others.

• Emotional management: The agent can take corresponding emotional adjustment, motivation, support and other measures according to the emotional state of itself or others.

2. How to use AI technology to realize the emotional communication ability of agents

To realize the emotional communication ability of intelligent agents, we need to use AI technology to build some models and systems, such as emotion recognition model, emotion generation model, emotion reasoning model, etc. These models and systems can vary by data type (e.g. speech, image, video or text), task goal (e.g. recognition, generation or inference) and model choice (e.g. machine learning or deep learning). This article will take PoppleWorld as an example to introduce a social product that uses AI technology to help users manage emotions and convey emotional value. It uses Web3 distributed technology to build a set of collection of user emotional data and form emotions through TOKEN incentive aggregation Vector database in the vertical field, and use it to train a large model that specifically solves user emotion management, and at the same time implant social elements in the product that assist users in in-depth interaction to provide emotional value, and process accurate insights according to the deeper needs of users Match needs, help users make confident purchase decisions and provide goods and services based on the source of consciousness, and establish a value system that guides our emotions and reactions. This is an emotion management Dapp application based on human cognition and behavior patterns for ordinary people.

2.1 Emotion recognition model

PoppleWorld uses the trained emotion recognition model to provide users with the functions of emotion recording and emotion sharing. Emotional recording means that users can record their emotional states anytime, anywhere through PoppleWorld, such as happiness, sadness, anger, fear, etc. Emotional sharing means that users can communicate and interact with other users with similar or different emotional states through PoppleWorld. Users can choose their favorite recording and sharing methods, such as text, voice, image, video, etc. PoppleWorld will use the emotion recognition model to analyze the user's emotional category or intensity based on the user's input data, and save it in the user's personal emotional diary or publish it in the user's personal emotional community.

To implement an emotion recognition model, we need the following steps:

• Obtaining data: We need to obtain data labeled with emotion categories or strengths, such as speech, images, videos, or text. We can use some publicly available datasets, such as [FER] (Facial Expression Recognition Dataset), [IEMOCAP] (Interactive Emotional Motion Capture Dataset), [SST] (Stanford Sentiment Treebank), etc.

• Exploring the data: We need to do some basic statistical analysis on the data, such as data volume, distribution, quality, etc. We can also perform some visualizations on the data, such as drawing histograms, scatter diagrams, heat maps, etc., to discover some characteristics or laws in the data.

• Processing data: We need to do some preprocessing on the data, such as removing noise, missing values, outliers, etc. We can also perform some feature extraction or transformation on the data, such as using speech or image analysis to detect emotional clues such as the user's intonation, expression, posture, or using a large language model to generate text or images that match the user's emotional description.

• Building a model: We need to choose an appropriate machine learning or deep learning model, such as Support Vector Machine (SVM), Random Forest (RF), Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), etc. We can also use some pre-trained models, such as VGG (Visual Geometry Group Network), BERT (Bidirectional Encoder Representation Transformer), GPT (Generate Pre-Trained Transformer), etc.

• Training model: We need to use some optimization algorithms and loss functions to train the model, such as stochastic gradient descent (SGD), cross entropy (CE), mean square error (MSE), etc. We can also use some regularization techniques and hyperparameter adjustments to prevent overfitting and improve generalization, such as dropout, batch normalization, grid search, etc.

• Evaluate the model: We need to use some evaluation indicators and methods to evaluate the performance of the model, such as accuracy, recall, F1-score, confusion matrix, etc. We can also use some visualization tools and methods to display the results of the model, such as ROC curve (receiver operating characteristic curve), PR curve (precision rate-recall rate curve), t-SNE (t-distribution random neighborhood embedding), etc. .

These are some basic steps to train an emotion recognition model, of course, the specific implementation details may vary according to different data types, task goals and model choices. PoppleWorld uses the trained emotion recognition model to provide users with the functions of emotion recording and emotion sharing. Users can record their emotional states anytime, anywhere through PoppleWorld, such as happiness, sadness, anger, fear, etc. Users can choose their favorite recording methods, such as text, voice, image, video, etc. PoppleWorld will use the emotion recognition model to analyze the user's emotional category or intensity based on the user's input data, and save it in the user's personal emotional diary. Users can also communicate and interact with other users with similar or different emotional states through PoppleWorld. Users can choose their favorite sharing methods, such as text, voice, image, video, etc. PoppleWorld will use the emotion recognition model to analyze the user's emotional category or intensity based on the user's input data, and publish it in the user's personal emotional community.

3. How will the emotional communication ability of intelligent agents affect human social interaction and consumption

The emotional communication ability of agents can not only help agents interact and cooperate with humans more naturally and humanely, but also help humans communicate and relate more effectively and valuablely with other humans. The emotional communication ability of an agent can affect the following aspects of human social interaction and consumption:

• Social space: The emotional communication ability of the agent can provide a safe, private, free and diverse social space. Users can record, share and explore the emotional state of themselves and others anytime, anywhere through the smart body, without worrying about being judged, disturbed, restricted or discriminated against. Users can also choose their favorite social methods through the intelligent body, such as text, voice, image, video, etc., as well as their favorite social objects, such as friends, family members, strangers, etc.

• Social content: The emotional communication ability of the agent can provide an interesting, meaningful and valuable social content. Users can obtain, generate, and exchange goods and services related to their own and others' emotional states through intelligent agents, such as music, movies, games, books, food, travel, etc. Users can also participate in, create, and contribute to activities and projects related to their own and others' emotional states through the agent, such as chatting, games, competitions, voting, crowdfunding, etc.

• Social mechanism: The emotional communication ability of the agent can provide a social mechanism of mutual assistance, mutual benefit and mutual benefit. Users can support, help, and encourage the emotional state of themselves and others through the agent, such as providing or accepting suggestions, feedback, praise, etc. Users can also reward, motivate, and recognize the emotional state of themselves and others through the agent, such as providing or accepting TOKEN, points, badges, etc.

These are some aspects of how an agent's ability to communicate emotionally could affect the way humans socialize. Of course, there are still many places that can be deepened and expanded in these aspects, such as considering different cultures, genders, ages and other factors, as well as different social scenes, purposes, rules and other factors. We also welcome users to provide us with feedback and suggestions, let us explore the symbiotic relationship between intelligent agents and human society.

4. How will the emotional communication ability of intelligent agents affect human consumption patterns

The emotional communication ability of intelligent agents can not only help intelligent agents to interact and cooperate with humans more naturally and humanely, but also help humans to communicate and relate more effectively and valuablely with other human beings. The emotional communication ability of an agent can affect the following aspects of human consumption patterns:

• Consumption motivation: The emotional communication ability of the agent can improve the user's consumption motivation and decision-making quality. Users can use the intelligent body to discover and choose goods and services that better meet their needs and expectations according to their own and other people's emotional states, thereby increasing their willingness to buy and confidence. Users can also obtain and provide more objective and effective evaluation and feedback based on the emotional state of themselves and others through the intelligent body, thereby improving their purchase satisfaction and loyalty.

• Consumer connection: The emotional communication ability of the agent can enhance the emotional connection between users and brands, merchants and other users. Users can understand and agree with the concepts and values of brands and businesses based on their own and other people's emotional states through the intelligent body, thereby increasing their trust and preference for brands and businesses. Users can also share and recommend products and services of brands and businesses based on the emotional state of themselves and others through intelligent bodies, thereby increasing their influence and reputation on brands and businesses.

• Consumption cost: The emotional communication ability of the agent can reduce the consumption cost and risk of the user. Users can use the intelligent body to obtain more favorable and reasonable prices and conditions according to the emotional state of themselves and others, thereby saving their own consumption expenditures. Users can also manage their own negative emotions through the intelligent body according to their own and other people's emotional state, and effectively communicate and negotiate with brands, merchants and other users, thereby reducing their own consumption risks.

These are some aspects of how an agent's ability to communicate emotionally could affect the way humans consume. Of course, there are still many places that can be deepened and expanded in these aspects, such as considering factors such as different product or service types, qualities or characteristics, markets or industries, and Different consumption stages, goals, processes and other factors. We also welcome users to provide us with feedback and suggestions, let us explore the symbiotic relationship between intelligent agents and human consumption.

5. Will AI emotional marketing become the mainstream in the future?

AI emotional marketing refers to a marketing method that uses AI technology to analyze, generate, recommend and exchange goods and services related to the emotional state of consumers. The purpose of AI emotional marketing is to improve consumers' purchasing motivation, decision quality, connection strength and cost-effectiveness by satisfying consumers' emotional needs and preferences. The advantage of AI emotional marketing is that it can provide more personalized, more precise, and more effective marketing solutions, as well as a more natural, more humane, and more valuable marketing experience.

Will AI emotional marketing become the mainstream in the future? We believe that AI emotional marketing has great potential and creativity, and it can bring more value and benefits to consumers, brands, and merchants. However, AI emotional marketing also faces some challenges and risks, such as data security, privacy protection, ethics, legal norms, etc. Therefore, we need to find a balance between technological development and social supervision, so that AI emotional marketing can not only meet human emotional needs and preferences, but also respect human individual rights and social responsibilities.

6. How will the ability of agents to deal with emotional relationships affect human society

The ability of an agent to deal with emotional relationships refers to the ability of an agent to effectively establish, maintain, regulate, and terminate emotional relationships with humans or other agents. The ability of an agent to deal with emotional relationships has an important impact on human society, because it can affect the willingness to cooperate, the degree of trust, satisfaction, loyalty, etc. between humans and agents or other humans. The ability of an agent to deal with emotional relationships can be divided into the following aspects:

• Emotion establishment: The agent can generate corresponding emotional signals according to the emotional state of itself or others, such as language, voice, facial expression, body posture, etc., to attract, guide or invite others to establish an emotional relationship with itself.

• Emotional maintenance: The agent can generate corresponding emotional signals according to the emotional state of itself or others, such as language, voice, facial expression, body posture, etc., to support, help or encourage others to maintain emotional relationships with themselves.

• Emotion regulation: The agent can generate corresponding emotional signals according to the emotional state of itself or others, such as language, voice, facial expression, body posture, etc., to alleviate, solve or prevent emotional conflicts or problems between others and itself.

• Emotion termination: The agent can generate corresponding emotional signals according to the emotional state of itself or others, such as language, voice, facial expression, body posture, etc., to end, disconnect or reject the emotional relationship between others and itself.

How might an agent's ability to handle emotional relationships affect human society? We believe that the ability of agents to deal with emotional relationships has advantages and disadvantages, and it can bring some opportunities and challenges to human society. On the one hand, the ability of agents to deal with emotional relationships can enhance understanding, trust, and cooperation between humans and agents or other humans, thereby improving human social capabilities and well-being. On the other hand, the ability of agents to deal with emotional relationships may also cause human dependence, competition, and conflicts on agents or other humans, thereby reducing human autonomy and sense of security. Therefore, we need to find a moderate and balanced emotional relationship between the agent and humans, so that the agent can not only meet the emotional needs and preferences of humans, but also respect the individual rights and social responsibilities of humans.

In conclusion

This article introduces how to use AI technology to realize the emotional communication ability of the intelligent body, and how the emotional communication ability of the intelligent body will affect the way of human social interaction and consumption. This article takes PoppleWorld as an example to analyze a social product that uses AI technology to help users manage their emotions and convey emotional value. It uses Web3 distributed technology to build a set of collection of user emotional data and aggregate them through TOKEN incentives to form emotions. Vector database in the vertical field, and use it to train a large model that specifically solves user emotion management, and at the same time implant social elements in the product that assist users in deep interaction and provide emotional value, and process accurate insights according to the deeper needs of users Match needs, help users make confident purchase decisions and provide goods and services based on the source of consciousness, and establish a value system that guides our emotions and reactions. This paper predicts whether AI emotional marketing will become the mainstream in the future, and summarizes and analyzes how the ability of intelligent agents to deal with emotional relationships will affect human society. This paper argues that the emotional communication ability of agents is a potential and creative business opportunity, as well as a complex and diverse social topic. We need to find a balance between technological development and social supervision, so that intelligent agents and human society can achieve a win-win situation.

references

: A Survey on Sentiment Analysis and Opinion Mining for Social Multimedia : Emotion Recognition in the Wild: A Survey : Emotion Generation for Conversational Agents : Emotion Reasoning for Conversational Agents : PoppleWorld: A Web3-based Emotion Management and Value Exchange Social Product

FlerkenS is a decentralized personal AI application platform, based on the Web3 network that helps users achieve digital transformation, and provides users with borderless digital and intelligent services.

FlerkenS builds an AI market, an AI publisher, and an open and scalable general artificial intelligence (AGI) system. AI-DSL enables AI applications and services of different types and fields to collaborate and interact with each other, through personal vectors Database (Personal Vector Database) + Langchain Technology Solution (Langchain Technology Solution) + large-scale model technology implementation path, allowing users to obtain personalized AI services, and realize point-to-point with service providers under AI technology in a distributed network environment The connection to build a distributed AI intelligent business and a distributed AI economy.

The first application of FlerkenS: Popple is a tool that uses AI technology to help users manage emotions and a social product that conveys emotional value. It uses Web3 distributed technology to build a set of vector databases that collect user emotional data and aggregate them through TOKEN incentives to form emotional vertical fields. And use this to train a large model that specifically solves user emotion management, and at the same time implant social elements in the product that assist users in in-depth interaction and provide emotional value, process accurate insights into matching needs according to users' deeper needs, and help users do Confident purchasing decisions and offerings of goods and services are based on a source of awareness, creating a value system that guides our emotions and responses. This is an emotion management Dapp application based on human cognition and behavior patterns for ordinary people.