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Branded Detection

Emotion-detecting technologies and campaigns prioritize mental health

Trend - 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 - 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.
Workshop Question - How is your brand addressing the mental health of its customers or employees?
Trend Themes
1. 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.
2. 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.
3. 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
1. 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.
2. 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.
3. 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.
3.1
Score
Popularity
Activity
Freshness
Patterns
Megatrends
4 Featured, 35 Examples:
58,064 Total Clicks
Date Range:
Nov 18 — Jul 19
Trending:
Mild
Consumer Insight Topics:

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