AI-Enhanced Digital Detox: Optimizing Employee Well-Being and Productivity in Commerce through Intelligent Interventions

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Authors: Trupti Sandeep Thorat.
Cited by: 0

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