AI predicts customer emotionChapter One(AI) tool predicts consumer immediate and expected emotion how to influence consumption decision If (AI) tool can be confirmed to apply to predict consumer behavior, then I can conclude that it can be attempted to apply to predict what the factor(s) of the product itself can cause the consumer has positive or negative emotion, so the manufacturer can attempt to avoid the bad factors cause to bring negative emotion to influence the consumer chooses not to buy the product more easily, such as vehicle product case. Economists refer to the consumption desirability is as " utility" and the product or service consumption decision making is aroseinfluenced by maximizing utility only. However, they neglect consumer individual immediate emotion change will also influence the consumer individual consumption decision consequently. Expected emotions are those that are anticipated to occur as a result of the outcomes associatedwith different possible courses of action. For example, if a potential investor, were deciding whether to purchase a stock, who might imagine the disappointment who would feel if who ought it and it reduced its price. Otherwise, whose emotion would experience, such as regret if it increased in price, but who does not buy it before the stock rise its price. However, I believe nowadays technology, in the future one day, (AI) tool can be attempted to assist consumer psychology profession or marketing research profession to assist them to find what are the bad factors to influence consumers choose not to buy any manufacturers' products. Then, when the manufacturercan discover what are the bad factor(S) cause(S) consumers who do not choose to buy their products, then the manufacturer can raise whose product of consumption desirability or " utility" to raise whose product's consumption decision making is influenced by maximizing utility. Hence, (AI) tool will be possible to find what the bad factor(S) to cause consumers do not choose to buy the manufacturer's product in order to raise the product's utility to bring consumer positive emotion to choose to buy its product in possible. SO, (AI) tool will be one consumer psychological emotion prediction tool to assist any manufacturers to help their products to build positive emotion to any consumers in possible.The key feature of expected emotions is that they are experienced when the outcomes of a decision materialize, but not at the moment of choice, at the moment of choice, they are only feel about future emotion. Such as consumption case, if the consumer chose to buy the product or consume the service before it's price is increased. Then, the consumer will feel happy and it is worth to purchase or consumer the service as well as the consumer's expected emotion is positive before who decides to buy the product or consume the service, because who believes or feels the product or service's price will be raised in short term, e.g. after one month, one week. Thus, it means that if the consumer does not believe orfeel or predict the product or service's price either it will increase or decrease in short term, whose emotion will be negative, those negative emotion will influence who does not decide to buy the product or service, it is possible that who feel it is not worth to buy the product or consume the service immediately. He She will choose to consume the service or buy the product to wait it's price is decreased later. it seems that the consumer's positive or negative emotion will influence who decides to buy the product or consume the service later or earlier. Thus, it has close relationship between the consumer individual immediate purchase or consumption decision and positive emotion or negative emotion ( either expected emotion or immediate emotion influences).