How Personalized AI Assistance Allows Users To Feel More Human

How Personalized AI Assistance Allows Users To Feel More Human
Retail

Services from home assistants to mood monitors utilize AI to improve productivity or give us peace of mind

PSFK
  • 7 may 2018

Technology still may be ways off from being truly human, but with each passing year AI is getting better and better at using data to read our moods and predict our desires. This is especially important for modern consumers, who, while increasingly willing to forfeit personal information about themselves, want something tangible back in return from the services they use.

In a 2017 report by YouGov, almost half of those surveyed (47%) said they had higher expectations about their customer experience as a direct result of sharing personal information with companies, with age proving to be a significant factor. The younger the respondent, the higher their expectations, with over half (59%) of millennials noting the more data they share, the higher the expectations for a better customer experience, followed by Gen X (47%) and baby boomers (38%).

From new technologies that scan our emails to improve our productivity, to home assistants that are able to intimately understand our daily routines, PSFK researchers identified three crucial trends in the realm of personalized AI assistance that are helping to keep us safe, sane and happy.

Always-On Monitoring
A new slate of services is supplementing consumer decision-making by offering contextual reminders and advice and helping them avoid potential risks. Lighthouse is an artificially-intelligent home assistant that uses machine learning to understand home routines and sends alerts when there are deviations from normal behavior, and sends context-specific updates of home activity. The device allows remote users to keep tabs on deliveries, familial behavior or other ongoing actions. Via a mobile app, residents can ask Lighthouse for video clips tailored to specific questions, such as who was home at a specific hour or if a particular person came by the house. Lighthouse uses machine learning to understand home routines and sends alerts when there are deviations from normal behavior.

Tailored Support
New services are monitoring behaviors and using data such as email archives to provide personalized advice and recommendations, as well as tailored suggestions for finding relevant connections, content and activities. Trove is a service that’s designed to analyze users’ email messages and provide them with insights about their professional network. Trove also allows people to create teams so that they can pool their connections and help each other get introduced to the right people. Depending on how a team is set up, users can either reach out to people directly or ask a contact inside the organization for a connection. In situations where connections are more sensitive, it’s possible to set up a Trove team so users can only see that someone in their organization knows a matching contact, but not who.

Emotional Safeguards
New technologies are going beyond traditional user inputs and reading into more complex indicators such as emotion to deliver a more relevant and secure user experience. A team of researchers developed iPhone app BiAffect that uses Apple’s ResearchKit, allowing the technology to track and predict a user’s mood and episodes by analyzing their keystrokes. The app tracks typing speed and how hard keys are pressed when using the keyboard and monitors the frequency of the use of backspace and spellcheck.

These are just a few examples of the ways in which personalized AI is enabling more comfortable and convenient user experiences. For even more examples, as well as other trends, check out our recent report Building Brand Trust Through Privacy Tools.


Lead image: Lighthouse AI via Facebook

Technology still may be ways off from being truly human, but with each passing year AI is getting better and better at using data to read our moods and predict our desires. This is especially important for modern consumers, who, while increasingly willing to forfeit personal information about themselves, want something tangible back in return from the services they use.

+AI
+AI
+Apple
+Baby Boomers
+Facebook
+gen X
+home
+infants
+Millennials
+mobile
+monitoring
+Privacy
+retail
+technology
+USA
+work

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