According to foreign media reports, in Silicon Valley, the presence of chat robots is everywhere. Advances in artificial intelligence have made these chat-like assistants a reality. They are thriving in a variety of different forms. Social networking Facebook has greatly improved the chat bot in Messenger's messaging app. In a sense, it is the voice-controlled chat bot that has led to personal assistants such as Siri appearing on our phones, which has led to the emergence of Amazon Echo smart speakers in our living room. All this is enough to make you believe that chat bots have begun to penetrate into our daily lives. However, they have not yet become mainstream. The technologies that drive the development of chat bots, as well as technologies related to machine learning and artificial intelligence, must also make greater progress in "chat" before becoming a standard user interface. Google (microblogging) is aware of this. This week, it launched the Human+Artificial Intelligence Research Project, which aims to promote the development of a “people-centric†AI system. Computers need to better understand human language, emotions, and intentions. Some big companies have started testing water chat bots to make sure they don't fall behind. However, artificial intelligence must be developed in several important ways before it can have a wide range of applications. Some requirements are very obvious, such as improving speech recognition, and some requirements are more concealed, such as the ability of chat bots to indicate which services they offer. The chattering chat bot has to make great progress in these five aspects before it can be truly accepted by the majority of users. 1. Improved in artificial intelligence and natural language processing Remember the early network? The pages at the time were all flashing neon lights and blue links. The current chat bot is equivalent to the network of the year. If chat bots are to be popular, then people must be able to ask questions and place orders in natural language. Whether the user is using speech or text, you should not expect them to master a special vocabulary before communicating with the robot. If you let the voice assistant Alexa play a song, she can't understand your request at first, which is understandable. Users who use it often have established a "relationship" with it, and of course they are willing to ignore these issues. However, if a user first subscribes to a new chat bot for a movie ticket without success, they may go elsewhere to buy a ticket. Neurolinguistics now plays a big role, but it is a bit difficult to deal with dialects, proverbs and words. Speech recognition technology can gradually grasp how people talk when they are over time. However, if you call a company once a year, it is difficult for chat robots to learn how you speak. We are still in the early stages of human-machine interaction. All this will be reflected in the image of the brand. The chat bot cannot simply copy the mode of the current automatic voice service. Because social media tends to magnify negative reviews of users, companies need to get things right. Everything that people do now through the web and mobile apps should be done in natural language, but we haven't developed this yet. 2. Know your consumers The most critical issue for artificial intelligence to play is to understand the background information. Just as marketing and sales will look at consumers in a 360-degree view, chat bots need to understand more about the people they interact with: who they are, how they become what they are, what they are looking for, and what they are What have you done? This information must be collected and shared between chat bots. Only by understanding this background information, chat robots can meet people's needs steadily and continuously. For example, AdmitHub, a school-based consulting service, partnered with Georgia State University last year to use a chat bot to handle the new enrollment and student placement process. In the early days, chat bots helped the school deal with issues such as admissions, bursaries, and student activity rooms, and as a result it greatly improved the efficiency of student enrollment. The school hopes that chat bots will be able to better understand each student's academic and financial support over time. By the time these students graduated, these robots knew everything about them. 3. Robot and robot chat The network is a magical interconnected place. Enter any product name in the Google search engine and you will soon be contacted by the merchant who sold the product. Chat bots also need to evolve in this way. Therefore, chat bots should be able to flexibly introduce users to each other, so that communication can be smoothly completed. If I type "I want burger" in Facebook Messenger, then it should be able to pass this information to other chat bots so that other chat bots can arrange the corresponding service to satisfy my order. On the web, this is all done through the REST API. There are many APIs in the field of chat bots that are competing for people's attention. Chat bots require sophisticated chat APIs to implement interoperability. 4. Showcase the services you provide If I interact with an app or a web page, I can quickly see what services it provides through the link and what other information is available on the screen. However, chat bots do not have this visual language capability. When you talk to a chat bot, you are equivalent to talking to it with your eyes closed. You have to think about it in advance, what are you going to ask? What can it do? Microsoft and Amazon have been trying to teach consumers about the features of products such as Cortana and Echo. In fact, many articles on related topics have appeared. When interacting with a chat bot for the first time, people should figure out: Can this robot let me choose a seat, or can I only buy tickets? Can I change my appointment or can I make an appointment? Can I order food according to my own needs? Since there is no visual cue information, the chat bot needs to find a new way to prompt which services it provides. 5. Read human emotions If chat bots can read human facial expressions or voice changes to understand the emotional changes of people who communicate with them, they will undoubtedly provide better service. Chatbots can now only handle simple customer service. If the user is disappointed or annoyed, the chat bot may need to hand over the conversation to the human agent. However, there is now an entire category of services, such as counseling or treatment, based entirely on user interaction. The development of artificial intelligence and computer vision will make this possible, but they still have a long way to go. Chat bots have broad application prospects, both at work and in our personal lives. However, we need to solve these problems in order to make them mainstream. Once these issues are resolved, chat bots will bring us greater convenience and a better experience. Insulation Silicone Fiberglass Sleeve Insulation Silicone Fiberglass Sleeve,Acrylic Coated Fiberglass Sleeving,Silicone Fibreglass Cable Sleeve,Insulation Silicone Fibreglass Cable Sleeve Longkou Libo Insulating Material Co.,Ltd. , https://www.liboinsulation.com