Electronic enthusiasts eight o'clock: US technology blog recently wrote that the mobile phone lock screen interface will gradually become a new battlefield in the field of artificial intelligence with its unique advantages.
The following is the original content compiled by the AI ​​generation:
In the past 10 years, information flow has become the main way people find interesting and useful content in the digital world, and it is also the mainstream user interface. Today, from Facebook to Twitter to LinkedIn, Instagram and Pinterest, the flow of information will provide you with interesting news and content through your social network and the sources you are interested in.
This situation is about to change. Push notifications to the personal mobile device's lock screen will turn your lock screen into a new stream. Therefore, when people get and experience a variety of notable updates and content, the lock screen interface will become the main interface.
As a result, your lock screen and mobile devices will replace stand-alone applications and become the connection point for all personal data streams, providing resources for machine learning algorithms that will soon run on your personal hardware.
This is a far-reaching change that will change the way you digitally experience, change the way artificial intelligence systems understand you, and even change the balance of power between technology giants like Facebook, Google (microblogging) and Apple.
Lock screen warWe have been using the push notification feature for a while. In 2014, Wall Street Journal's Christopher Mims predicted that the Yo app would be a huge success because it took advantage of the simple feature of push notifications.
Yo failed to make a big splash, but the application and influence of push notifications continued to increase. Today, the landscape of push notifications is changing rapidly. Both Android and iOS are updating push features very fast.
Notifications evolved from simple text boxes into adaptive elements that can lead to richer and subtle experiences, and are therefore called "rich notifications." Designers and developers are also embracing these new possibilities to provide a more interactive user experience.
Today's notifications can include interactive features such as text formatting, larger images, videos, dynamic charts, and sharing. Therefore, the user is consuming more and more content directly on the lock screen interface.
Lock screen has become an important channel to grab the attention of users. As a result, all applications are competing to develop more meaningful and interactive notifications. Nic Newman of the University of Oxford's Reuters Academy called it "Lock Screen Wars." In the process, applications are gradually transformed into micro-platforms, which not only provide notifications, but also provide optimized, branded mini products.
From rich notifications to smart notificationsThe new and richer interactions that appear on your lock screen interface represent a new user interface paradigm that will have a huge impact on personalization in the future.
Since it can automatically appear on the lock screen, push notifications let fun things proactively find you, rather than letting you find interesting content. At the same time, the lock screen interface does not have to display the content in chronological order. Push notifications let you get a personalized experience based on your surroundings: notifications automatically appear on the lock screen without any action.
The important thing is that you don't have to open any apps to get content. Today, notifications from news apps let you focus on what’s happening on the lock screen. You can participate in conversations, view photos, watch live streams, and share content without opening the app.
As we saw in the information flow on Facebook, Twitter, and Pinterest, we need personalized algorithms to keep updating the flow of information. Your lock screen will soon be filtered by a personalized algorithm.
As people's interactive channels move from applications to lock screens, iOS and Android have begun to use automation technology to handle the way content is presented and content is captured on the lock screen. Android provides an auto-trigger smart notification package that collects useful notifications. The iPhone highlights related apps based on your personal environment, including time and location. On both platforms, widgets are part of this trend, providing richer interactions and more content without opening the app.
As an extension of yourself, all of your apps are installed on your personal mobile device, making it a treasure trove of massive personal data. As an interface, the lock screen can integrate the targeted interactive data in the application with the rich background data in the device.
Specifically, the lock screen interface will introduce a new layer of personalized algorithms. The lock screen captures your social interactions and content consumption patterns, as well as your favorite apps, movies, videos, music and more. This rich data can be used to provide resources for machine learning systems to enhance the relevance of individual recommendations and more fully reflect background information.
Your lock screen will soon be proactively filtering push information through automation to determine which updates, suggestions, messages, apps, movies, receipts, and ads are visible. With the data provided by the personalized lock screen, you are expected to get a truly personalized smart device.
From smart notifications to personal artificial intelligenceWhen you interact more with the lock screen interface, the data they generate will be more plentiful. Your mobile device can learn everything you do, achieving unprecedented accuracy.
This opens up new opportunities for devices to truly understand you as an independent individual, breaking through the existing personalization gap. No single personal application today can reach this level - even Facebook is no exception. (It is worth mentioning that Facebook has tried to develop its own mobile device, but failed.)
Personal hardware has become a key component of personalization and machine learning.
As Gary Marcus, founder of Geometric Intelligence and a professor at New York University, says, artificial intelligence systems should be able to complete the learning process with less data. They should be continuous, iterative, and learning anytime, anywhere, like children, to summarize, apply, and infer these learning in a useful way.
Is there a possibility: To develop such a machine learning system, the only thing missing is to implant and run personal artificial intelligence on your most private hardware so that you can learn with you like a child.
Run this kind of artificial intelligence system on your personal device so that you can keep learning and understanding the rich interactive information and background data you provide. It can evolve through self-iteration based on your feedback and personal patterns.
When absorbing information directly from you, personal artificial intelligence can take advantage of specialized internal and external agents (all of which exist in a variety of digital environments) while using the computing power of the cloud. In addition, these personal agents can handle and provide data, information and advice in specific areas, from providing stock market newsletters to optimizing travel routes. The best version of your personal artificial intelligence has evolved to be better yourself through cooperation and competition.
Who controls your personal artificial intelligence?Everything that happens on the lock screen can be recorded to improve your personal experience – not directly handled by Facebook or other apps, but primarily by Google and Apple. The speed of intellectual improvement of Google Assistant and Siri will speed up.
Google has introduced machine learning to their devices using its own algorithms and hardware. At the same time, the company also provides developer tools to optimize notifications. Apple is also close behind. Samsung is also trying to catch up with the two giants through the recent acquisition of Viv.
Will personal artificial intelligence become your algorithmic angel, allowing you to maintain your own personal agent in the future algorithm world? Or does it only turn your device into an ultimate marketing experience, trying to influence all your decisions?
A new era of personalized lock screens and personalized artificial intelligence, the algorithm angel's philosophy (algorithm based on your personality) is more timely than ever. The supporting ethics committee and terms of use need to keep up, but this is not enough. Since our decisions are all aided by intelligent machine learning systems, algorithms, interfaces, and methods that can be interpreted are needed to guide and control these intelligent entities in a clear and understandable way.
The lock screen user interface provides a new way to achieve this.
Can I swipe left enough on the lock screen to see my personal AI settings and preferences? Can I get multiple versions of these artificial intelligences and simply activate the different personal intelligence systems at different times by sliding the lock screen interface? You may be able to engage in a secular conversation about the logic behind the advice provided by the artificial intelligence system, and then use intuitive gestures, touch and sound to communicate with each other in a way that is understandable to each other.
The final "conversational interface" will not be an application or a robot, you don't need to make a special trip to open or call, but will be ready to show, ready to use, it will continue with you and your digital and physical environment "dialogue".
Personalized lock screens create a unique interface that connects you to the personal artificial intelligence running on your most private device. This brings new opportunities, and it is expected to design a new generation of human-machine communication methods and user interfaces, and even apply to mobile devices and a variety of environments such as augmented reality and virtual reality. At the same time, this will be an indispensable step in enhancing human and machine thinking in the future.
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