The artificial intelligence company Kiwi thinks they can help smokers kick their habit with the Cue Smartwatch -- a wearable that uses AI to help users cut back, and eventually quit.
The infusion of AI helps this smartwatch get to know its wearer, creating a personalized plan to ensure maximum results. By tracking when users smoke, Cue can help manage cravings by anticipating when the urge to smoke will begin, before the wearer does. The app encourages users to widen the gap between smoke breaks, by giving a gentle but consistent nudge to focus on quitting, and to not lose sight of their goals, often resulting in dramatic improvements.
Artificial technology and wearables like the Cue smartwatch offer patients the ability to monitor their own health, revolutionizing the doctor patient relationship, by providing more agency to the patient.
Habit-Reducing Smartwatches
The Cue Smartwatch Uses AI to Predict Your Future Cigarette Cravings
Trend Themes
1. AI-driven Wearables - The Cue smartwatch demonstrates the potential of AI-driven wearables to revolutionize behavior change and addiction management.
2. Predictive Health Tracking - The integration of AI in the Cue smartwatch enables predictive health tracking, empowering individuals to anticipate and manage their cravings.
3. Personalized Habit Management - The Cue smartwatch showcases the power of personalized habit management through AI, offering a tailored approach to help individuals cut back and quit smoking.
Industry Implications
1. Wearable Technology - The Cue smartwatch exemplifies the possibilities for disruptive innovation in the wearable technology industry by leveraging AI for behavior change.
2. Healthcare - The integration of AI and wearables in the Cue smartwatch presents disruptive innovation opportunities in the healthcare industry, empowering patients to actively manage their health.
3. Addiction and Behavior Management - The Cue smartwatch points to disruptive innovation opportunities in addiction and behavior management, leveraging AI to provide personalized support and predictive tracking.