On Thanksgiving Day, the US Patent & Trademark Office published patent applications from Apple related to Business Chat and Face ID using a machine learning process to accurately identify users.
Business Chat Patent Application
Apple Business Chat is a powerful new way for organizations to connect to customers directly from Messages. By using Business Chat, customers can answer questions, resolve issues and complete transactions on iPhone, iPad, Mac and Apple Watch. Customers can find your business and start conversations from Safari, Maps, Search, and Siri.
Apple Patent Applications Today for the "Business Messaging Interface"
Part One and Part Two
Apple notes in one of their patent applications that the current methods of contacting companies like resellers and service companies to conduct inquiries are outdated, time consuming and ineffective. More specifically, business inquiries are usually conducted by person visits in stores, by voice call, e-mail or by submission of contact forms on web pages. The two latter alternatives are both associated with long-term delays and do not allow bi-directional communication that is often required to resolve problems or carry out transactions. Personal visits are disturbing to customers and time consuming. As a result, the vast majority of customer service requests are still handled by voice calls. However, voice calls themselves can be very frustrating experiences for customers with long waiting times and difficult to navigate in interactive voice response systems.
Apple patent figures 10S and 10R are user interface examples that cover a business call. Summary of customer and workshop repairs.
Apple's invention covers lessons and methods that can better handle customer service requests using messaging processes and interfaces. For example, certain types of such designs offer a faster and more efficient method and interface for performing customer service requests from businesses.
Various designs can also reduce the cognitive burden of a user and produce a more efficient human-machine interface. For battery-powered data processing devices, different designs of such methods and interfaces save power and increase the time between battery charges.
Similarly, certain embodiments of such methods and interfaces for conducting enterprise queries reduce the load on network infrastructure over voice issues by reducing the bandwidth and service levels required. In addition, certain embodiments of the methods and interfaces described here may reduce fraud and improve the security of electronic devices.
The method further includes, in response to detecting the interaction with the message action, initiating a message session with the business device, the message session is initiated in a messaging user interface.
Apple calls this Business Chat and you learn more from Apple's website on this.
Apple Face ID Patent Application
Apple Face ID Related Patent Abstract: "Detection of a user paying attention to a device can be used to enable or support biometric security (such as Face Detection) enabled features on Device taken with the camera can be used to determine whether the user is aware of the device. The facial features of the user's face in the images can be evaluated to determine if the user is aware of the device. Features can be evaluated by comparing function vectors generated from the captured image function to A well-known function vectors can be generated using a machine learning process . "
Apples Patent Fig. 2 shows a representation of an embodiment of Fig. 3 shows a representation of an embodiment of a processor on a device Figure 4 shows a flowchart with an embodiment of a detection detection process.
Apple notes further to determine if a user pays attention to a device that can be used to enable or support biometric security (such as face detection) enabled features on the device. For example, a device can determine if the user should be aware of a device before approving the user or accessing specific data (such as password, personal data) or specific systems (such as payment systems) to prevent accidental access.
Attention can be determined by taking an infrared illuminated image of the user of the device with the user's face in capture d image. Face features in the user's face can be encoded to generate function vectors in a function room where function vectors define the user's facial functions in the function area.
A set of classification tools can then be used on the function vectors to determine if the user is aware of the device or not. Determination of attention may include using one or more classification elements to determine if function vectors of the captured image correlate with vectors known (e.g., trained) for the user to be aware of the device.
For more details part of the Face ID project, see Apple's patent application titled "Attention Detection."