Gartner: 10 AI-powered smartphone uses

Gartner: 10 AI-powered smartphone uses
Gartner has identified 10 uses for AI-powered smartphones.
Published: 13 January 2018 - 7:56 a.m.
By: Aasha Bodhani

Artificial Intelligence (AI) has become a critical feature in many devices and now it is becoming a key differentiator within the smartphone industry, with vendors giving their products an edge.

According to research house Gartner, by 2022, 80% of smartphones shipped will have AI capabilities, which is up from 10% in 2017.

CK Lu, research director at Gartner, said: "With smartphones increasingly becoming a commodity device, vendors are looking for ways to differentiate their products.

"Future AI capabilities will allow smartphones to learn, plan and solve problems for users. This isn't just about making the smartphone smarter, but augmenting people by reducing their cognitive load. However, AI capabilities on smartphones are still in very early stages."

Gartner has identified 10 uses for AI-powered smartphones to enable vendors to provide more value to their customers.

1. "Digital Me" Sitting on the Device

Smartphones will be an extension of the user, capable of recognising them and predicting their next move. "Your smartphone will track you throughout the day to learn, plan and solve problems for you," said Angie Wang, principle research analyst at Gartner. "It will leverage its sensors, cameras and data to accomplish these tasks automatically. For example, in the connected home, it could order a vacuum bot to clean when the house is empty, or turn a rice cooker on 20 minutes before you arrive."

2. User Authentication

Security technology combined with machine learning, biometrics and user behaviour will improve usability and self-service capabilities. Smartphones can capture and learn a user's behaviour, such as patterns when they walk, swipe, apply pressure to the phone, scroll and type, without the need for passwords or active authentications.

3. Emotion Recognition

Emotion sensing systems and affective computing allow smartphones to detect, analyse, process and respond to people's emotional states and moods. The proliferation of virtual personal assistants and other AI-based technology for conversational systems is driving the need to add emotional intelligence for better context and an enhanced service experience.

4. Natural-Language Understanding

Continuous training and deep learning on smartphones will improve the accuracy of speech recognition, while better understanding the user's specific intentions.

5. Augmented Reality (AR) and AI Vision

With the release of iOS 11, Apple included an ARKit feature that provides new tools to developers to make adding AR to apps easier. Similarly, Google announced its ARCore AR developer tool for Android and plans to enable AR on about 100 million Android devices by the end of next year. Google expects almost every new Android phone will be AR-ready out of the box next year. One example of how AR can be used is in apps that help to collect user data and detect illnesses such as skin cancer or pancreatic cancer.

6. Device Management

With many sensors, smartphones can better understand and learn user's behaviour, such as when to use which app. The smartphone will be able to keep frequently used apps running in the background for quick re-launch, or to shut down unused apps to save memory and battery.

7. Personal Profiling

Smartphones are able to collect data for behavioural and personal profiling. Users can receive protection and assistance dynamically, depending on the activity that is being carried out and the environments they are in (e.g., home, vehicle, office, or leisure activities).

8. Content Censorship/Detection

Computer recognition software can detect any content that violates any laws or policies. For example, taking photos in high security facilities or storing highly classified data on company-paid smartphones will notify IT.

9. Personal Photographing

Personal photographing includes smartphones that are able to automatically produce beautified photos based on a user's individual aesthetic preferences.

10. Audio Analytic

AI capability on device is able to tell those sounds, and instruct users or trigger events. For example, a smartphone hears a user snoring, then triggers the user's wristband to encourage a change in sleeping positions.

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