Artificial intelligence (AI) systems are already very sophisticated. Gartner predicts that by 2022, AI-enabled personal devices will know a lot more about that person's emotional state. Moreover, AI is a disruptive force that will reshape the way we interact with many personal devices.
"Emotion AI systems and affective computing are allowing everyday objects to detect, analyze, process and respond to people's emotional states and moods to provide better context and a more personalized experience," said Roberta Cozza, research director at Gartner. "To remain relevant, technology vendors must integrate AI into every aspect of their devices, or face marginalization."
Emotion AI Market Development
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, and the autonomous car.
"Prototypes and commercial products already exist and adding emotional context by analyzing data points from facial expressions, voice intonation and behavioral patterns will significantly enhance the user experience," said Ms. Cozza.
Beyond smartphones and connected home devices, wearables and connected vehicles will collect, analyze and process users' emotional data via computer vision, audio or sensors capturing behavioral data to adapt or respond to a user's wants and needs.
Cloud-based AI technologies are driving compelling user experiences on a variety of connected devices. Cloud offerings from the big tech players are starting to proliferate due to their attractive cost model, easy-to-use integration and potential to create complex services.
A major catalyst for device vendors to use cloud AI services is the increased usage of VPAs and natural-language technologies, while the adoption of VPA-based, screenless devices such as Amazon Echo and Google Home is also on the rise, further increasing usage of cloud AI services.
Other Findings from the market study include:
By 2021, 10 percent of wearables users will have changed lifestyles, and thereby extend their life spans by an average of six months.
By 2020, 60 percent of personal technology device vendors will use third-party AI cloud services to enhance functionality and services.
Through 2022, security technology combining machine learning, biometrics and user behavior will reduce passwords to account for less than 10 percent of all digital authentications.
"Emotion AI systems and affective computing are allowing everyday objects to detect, analyze, process and respond to people's emotional states and moods to provide better context and a more personalized experience," said Roberta Cozza, research director at Gartner. "To remain relevant, technology vendors must integrate AI into every aspect of their devices, or face marginalization."
Emotion AI Market Development
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, and the autonomous car.
"Prototypes and commercial products already exist and adding emotional context by analyzing data points from facial expressions, voice intonation and behavioral patterns will significantly enhance the user experience," said Ms. Cozza.
Beyond smartphones and connected home devices, wearables and connected vehicles will collect, analyze and process users' emotional data via computer vision, audio or sensors capturing behavioral data to adapt or respond to a user's wants and needs.
Cloud-based AI technologies are driving compelling user experiences on a variety of connected devices. Cloud offerings from the big tech players are starting to proliferate due to their attractive cost model, easy-to-use integration and potential to create complex services.
A major catalyst for device vendors to use cloud AI services is the increased usage of VPAs and natural-language technologies, while the adoption of VPA-based, screenless devices such as Amazon Echo and Google Home is also on the rise, further increasing usage of cloud AI services.
Other Findings from the market study include:
By 2021, 10 percent of wearables users will have changed lifestyles, and thereby extend their life spans by an average of six months.
By 2020, 60 percent of personal technology device vendors will use third-party AI cloud services to enhance functionality and services.
Through 2022, security technology combining machine learning, biometrics and user behavior will reduce passwords to account for less than 10 percent of all digital authentications.