Research On The Influence Emotions On Decision-Making In Human-Machine Hybrid Intelligence

There are still many technical limitations in the intelligent implementation of machines,and the current artificial intelligence is essentially just advanced automation and needs autonomous intelligence.The effectiveness of artificial intelligence could be more satisfactory,and we cannot or dare not wholly rely on it in significant decisions.Therefore,we must ensure people are in the loop and build a human-machine hybrid intelligent system to enable human-machine hybrid decision-making.In human-machine hybrid intelligent systems,emotions have a profound impact.Emotions,an inevitable psychological activity of human beings,can dominate the reasoning process and subsequently affect decisionmaking.As the interaction between humans and machines increases,the emotional interactive behavior of machines will also affect people’s emotional state toward machines.Therefore,exploring the impact of emotions on decision-making in human-machine hybrid intelligent systems and dynamically perceiving and regulating emotions is crucial for the entire human-machine hybrid system.Current intelligent systems often overlook the influence of human emotions and the emotional interaction between humans and machines.The design of intelligent systems is too mechanized and lacks the human touch.When studying the impact of emotions on decision-making,only attention is paid to the situation of people making decisions,and there needs to be more research on the effects of feelings and emotions on the decision-making of the entire human-machine hybrid intelligent system.To address the above issues and explore the impact of emotions on decision-making in human-machine hybrid intelligence,this article conducted the following research work:(1)A human-machine emotional interaction model and a dynamic bidirectional emotional transmission model were established better to analyze the emotional interaction between humans and machines.Theoretically refine the emotional interaction process between humans and machines and the emotional transformation and transmission method.Model the emotional interaction process from different perspectives to locate the problematic parts in the interaction process in subsequent research and lay a theoretical foundation for the emotional design of human-machine hybrid intelligent systems.(2)To enhance the emotional design of intelligent systems,this article focuses on the design of systems that do not have a physical image and establishes an experimental platform to explore the impact of intelligent system design on human emotions.The experiment includes experiments on the human similarity of machine speech and the effect of gender on affinity,as well as on the acceptance of machine speech under negative emotions.It focuses on the impact of sound in non-physical systems to ensure an excellent emotional state in the early stages of interaction.(3)To explore the impact of emotions on the decision-making of human-machine hybrid intelligent systems,this article selects classic game scenarios and builds an artificial intelligence-assisted decision-making system based on the counterfactual regret minimization algorithm.It explores the willingness of humans to adopt assisted decision-making under different emotions and deduces the decision-making modes of human-machine hybrid intelligent systems under other emotions.The design scheme of a human-machine hybrid intelligent assisted decisionmaking system considering the influence of emotions is obtained.In summary,this article proposes two emotional interaction theoretical models for human-computer interaction.Focus on designs that can add emotional value to intelligent systems and explore the emotional impact of intelligent system design through experiments.And by building an artificial intelligence-assisted decision-making system and experimental platform,the decision-making schemes of the humanmachine hybrid intelligent system under different emotional influences were obtained.To dynamically switch the human-machine collaboration and decision-making modes of the human-machine hybrid intelligent design in the context of dynamic changes in the environmental situation to achieve optimal decision-making and enhance the effectiveness of the human-machine hybrid intelligent system.