AI-Enhanced Digital Detox: Optimizing Employee Well-Being and Productivity in Commerce through Intelligent Interventions
Abstract
Abstract In the hyper-connected commerce sector, constant digital exposure from AI-powered tools, smartphones, and real-time notifications has led to widespread employee burnout, reduced focus, and health issues. This paper reframes digital detox as an AI-augmented approach, using machine learning algorithms to deliver personalized disconnection protocols that enhance well-being and productivity. (Nitika Singh*1, 2025)By analysing secondary data from recent studies such as a 42% stress reduction and 28% focus improvement from detox interventions it proposes frameworks for commerce firms to integrate AI-driven detox strategies, balancing technology reliance with human sustainability.
Fields of Study & Subjects
Technostress in Professional Settings
Personal Information Management and User Behavior
AI and HR Technologies
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 31 March 2026
- Language
- EN