Category
Lifestyle
Assisted Choices
Trend cluster
Category
Branded
Detection
Emotion-detecting technologies and campaigns prioritize mental health.
3.1
Trend score
Trend
What is the Branded Detection trend?
Branded Detection: Emotion-detecting technology, whether used for personal or promotional purposes, is on the rise in a variety of different formats. These technologies come as companies aim to address and potentially reduce the impact of mental illness on consumers.
Insight
The consumer insight behind the Branded Detection trend
As the stigma behind mental illness diminishes, more people become comfortable talking about their experiences and in some cases, these stories are shared on social media. This creates an environment for supercharged emotional awareness, as many begin tracking their mental health and how they feel on a day-to-day basis. Since technology proves to be an efficient way of detecting and logging in information, many look for tech-powered tools that will help them monitor their wellbeing over time.
Trend themes
Themes within the Branded Detection trend
Three behaviours holding the trend together01
Emotion-detecting technology
Emotion-detecting technologies are on the rise as companies aim to address and potentially reduce the impact of mental illness on consumers by monitoring their emotional state through tech-powered tools.
02
AI-powered wearable technology
Companies are developing AI-powered wearable technology devices to track and detect one's emotion, mood, and health for personalized and targeted product recommendations.
03
Deep learning software
Deep learning software is being developed to detect individuals' moods based on their gait, gestures, and facial expressions for the purpose of public emotion detection and a targeted curation of content and ads directed to respective consumers
Industry implications
What the Branded Detection trend means for industry
Where the trend changes the playbookFor
Health and Wellness
The emotion-detecting technology trend and AI-powered wearable devices provide companies in the health and wellness industry an opportunity to develop personalized and targeted mental health products and services.
For
Mobile Advertising
The trend for emotion-detecting technology and deep learning software creates a disruption and opportunities for businesses in the mobile advertising industry to curate and target ads to consumers based on their emotional state and mood.
For
Artificial Intelligence
As more companies invest in AI-powered wearable technology and deep learning software, businesses in the artificial intelligence industry have opportunities to develop and improve technology for better consumer targeting and insights.
Workshop question
How is your brand addressing the mental health of its customers or employees?
Trend signals
Trend signals for Branded Detection
Trend score 3.1 out of 10, from popularity 56%, activity 28%, freshness 8%.
Popularity56%
Activity28%
Freshness8%
Audience
50%Men
50%Women
- Gen Alpha (not a primary audience)
- Gen Z
- Millennial
- Gen X
- Boomer
Market
North America
Europe
Asia-Pacific
South America
Africa
Evidence
Examples of the Branded Detection trend
4 featured examples from Nov 2, 2018 to Jul 18, 2019CategoryTech
Emotion-Detecting Gait Technology
This New Deep Learning Software Can Detect Moods Based on Gait
Companies could use mood detection technology to personalize advertisements based on individual's emotions.
CategoryLifestyle
Tracking Mood Disorder Apps
Mindstrong's Health App Detects Mental State from Phone Interactions
Healthcare technology companies can develop apps that leverage smartphone interactions for mental health diagnosis.
CategoryTech
Emotion-Detecting Wrist Gadgets
Amazon May Release a Wearable Device to Determine Your Emotions
Opportunity for disruptive innovation: Integration of emotion-detecting wrist devices with health and wellness products, enhancing self-improvement and mental well-being.
CategoryMarketing
Face-Recognizing Ad Programs
AdMov Incorporates Tablets to Detect Facial Responses
Opportunity for ad agencies and tech companies to develop and implement face-recognizing ad programs for targeted advertising campaigns.
