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Artificial intelligence to revolutionise personal device usage by 2022, says Gartner

January 09, 2018

According to Gartner, emotion artificial intelligence (AI) systems are becoming so sophisticated that by 2022, personal devices will know more about an individual's emotional state than his or her own family. AI is generating multiple disruptive forces that are reshaping the way people interact with personal technologies.

The current wave of emotion AI systems is being driven by the proliferation of virtual personal assistants (VPAs) and other AI-based technology for conversational systems. As a second wave emerges, AI technology will add value to more and more customer experience scenarios, including educational software, video games, diagnostic software, athletic and health performance, as well as the autonomous car.

Commenting on the development, AI Roberta Cozza, research director, Gartner said, "Emotion AI systems and affective computing are allowing everyday objects to detect, analyse, process and respond to people's emotional states and moods to provide better context and a more personalised experience. To remain relevant, technology vendors must integrate AI into every aspect of their devices, or face marginalisation."

He further added, "Prototypes and commercial products already exist and adding emotional context by analysing data points from facial expressions, voice intonation and behavioural patterns will significantly enhance the user experience. Beyond smartphones and connected home devices, wearables and connected vehicles will collect, analyse and process users' emotional data via computer vision, audio or sensors capturing behavioural data to adapt or respond to a user's wants and needs."

Further, as AI emotion systems evolve there is huge potential for specialised devices, such as medical wristbands, which can anticipate life-threatening conditions and facilitate an early response system. At the same time special apps are also being developed for diagnostic and therapy services that will help to recognise conditions such as depression or help children with autism.

Gartner estimates that by 2021, 10 per cent of wearable users will have changed lifestyles, and thereby extend their life spans by an average of six months.

Further, cloud-based AI technologies are driving compelling user experiences on a variety of connected devices. Cloud offerings from the big tech players, such as Google, Microsoft, Amazon, Tencent, Baidu and IBM, are starting to proliferate due to their attractive cost model, easy-to-use integration and potential to create complex services. It is estimated that by 2020, 60 per cent of personal technology device vendors will use third-party AI cloud services to enhance functionality and services.


 

 
 

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