Ghost Mode: A Web-Based Digital Detox Platform for Promoting Mindful Technology Use

Abstract—In today’s hyperconnected world, excessive screen time has become a pressing issue, contributing to reduced productivity, digital fatigue, and mental health challenges. Despite the availability of screen monitoring tools and restrictive applications, users often find it difficult to maintain long-term digital discipline. This paper presents Ghost Mode, a Django-based web application designed to promote mindful technology use through self-initiated digital detox sessions. Unlike traditional restrictive methods, Ghost Mode focuses on voluntary participation and encourages users to take control of their screen habits through a minimal, responsive web interface. The system enables users to initiate detox sessions with custom timers, view motivational prompts during the session, and engage in reflection. The application architecture leverages Django’s model–view–controller pattern and includes core functionalities such as session initiation, state handling, and user feedback. Future enhancements aim to integrate session tracking, progress dashboards, and gamified rewards to further engage users. The proposed platform offers a practical, accessible, and scalable solution to promote healthier digital behavior among students and working professionals. Keywords—Digital Detox, Django, Web Application, Screen Time Management, Mindfulness, Wellness Technology component

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-08
DOI
https://doi.org/10.5281/zenodo.15618708
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
0.00
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article

Ghost Mode: A Web-Based Digital Detox Platform for Promoting Mindful Technology Use

Zenodo (CERN European Organization for Nuclear Research)
Digital Mental Health Interventions
article

Ghost Mode: A Web-Based Digital Detox Platform for Promoting Mindful Technology Use

article en

Abstract

Abstract—In today’s hyperconnected world, excessive screen time has become a pressing issue, contributing to reduced productivity, digital fatigue, and mental health challenges. Despite the availability of screen monitoring tools and restrictive applications, users often find it difficult to maintain long-term digital discipline. This paper presents Ghost Mode, a Django-based web application designed to promote mindful technology use through self-initiated digital detox sessions. Unlike traditional restrictive methods, Ghost Mode focuses on voluntary participation and encourages users to take control of their screen habits through a minimal, responsive web interface. The system enables users to initiate detox sessions with custom timers, view motivational prompts during the session, and engage in reflection. The application architecture leverages Django’s model–view–controller pattern and includes core functionalities such as session initiation, state handling, and user feedback. Future enhancements aim to integrate session tracking, progress dashboards, and gamified rewards to further engage users. The proposed platform offers a practical, accessible, and scalable solution to promote healthier digital behavior among students and working professionals. Keywords—Digital Detox, Django, Web Application, Screen Time Management, Mindfulness, Wellness Technology component

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 47%
Digital Mental Health Interventions
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Ghost Mode: A Web-Based Digital Detox Platform for Promoting Mindful Technology Use · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS