AI Identifies Coworker Stress Using Wearable Data and Calendar Events
A WHOOP user developed an AI system to rank coworkers by stress levels, correlating heart-rate spikes during meetings with specific individuals. Using reverse-engineered wearable data, AI models, and calendar information, the project offers a creative, albeit unscientific, glimpse into workplace stress triggers, sparking discussion on data privacy.
Key points
- A WHOOP user created an AI-powered system to identify which coworkers cause the most stress.
- The system analyzed heart rate spikes during meetings, linking them to specific colleagues via calendar data.
- It utilized reverse-engineered WHOOP data and AI models, including Claude's Fable model.
- The results, presented as a 'stress leaderboard,' were shared publicly while keeping identities private.
- This project highlights innovative uses of wearable technology and AI for personal insights, raising questions about data application.
A novel application of artificial intelligence and wearable technology has emerged, allowing an individual to rank colleagues based on perceived stress levels experienced during work meetings. A user of the WHOOP fitness tracker developed a custom system that correlates spikes in heart rate with specific meetings and attendees.
By reverse-engineering data from his WHOOP device and integrating it with his work calendar, the user created an algorithm. This algorithm identifies periods of elevated heart rate and stress during meetings, attributing them to particular coworkers. The insights were then presented in a "stress leaderboard," which ranks individuals based on their apparent contribution to the user's stress.
The project leveraged AI models, including Claude's Fable model, alongside custom coding to process the information. While the creator acknowledged the experiment's limitations and potential for inaccuracy, it demonstrated a creative use of personal biometric data and AI for understanding workplace dynamics. The user shared the findings online, emphasizing the anonymized nature of the displayed results.
Sources
The WireByte editorial team synthesises technology news from multiple primary sources, verifies the facts, and links every source. Articles are produced with AI assistance and reviewed under our editorial policy.