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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM67106
Volume:
10 |
9 |
Sep 2026
Pages:
1-7
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Computer science and engineering
Don Bosco institute of technology

Computer science and engineering
Don Bosco institute of technology

Computer science and engineering
Don Bosco institute of technology

Computer science and engineering
Don Bosco institute of technology

Computer science and engineering
Don Bosco institute of technology
Digital devices have become a significant part of people's lives for both studying and working. Notifications, social networks, entertainment and changing apps may take plenty of time. In general, the majority of digital wellbeing solutions aim at solving this problem through measuring screen time and imposing restrictions. Nevertheless, the solutions provided by developers do not estimate the efficiency of spending time this way. Therefore, this paper presents MindFull, a solution developed to address the problem stated above. First of all, unlike other applications, MindFull is designed not to estimate all types of screen time usage equally. It means that digital activities will be related to the tasks and goals of users. In particular, it includes such functions as measuring permitted application usage, activity classification, task planning, focus session creation and summarising usage in daily and weekly reports. Furthermore, it may suggest recommendations for app use based on recognised patterns. It should be highlighted that the purpose of MindFull is not to reduce time spent on using technology. This solution was created to learn how to spend it in a more controlled way. In this case, the application is created as a selfmanagement system. Its efficiency may be measured in terms of productive time, distracting time, task and focus session completion.
KEYWORDS
I think MindFull offers a framework that brings digital wellbeing and productivity management together. Digital technology is essential for education, work and everyday communication. Therefore, the solution to distraction cannot simply be to avoid screens. Users need tools that help them understand their habits and decide how technology should fit into their goals. The proposed system addresses this need through activity monitoring user-defined classification, task and goal management focus sessions, behavioural summaries and personalized feedback. The design keeps the user involved in decisions about what counts as productive and what recommendations are appropriate. The next important step is evaluation. A working prototype should be tested with users. Results should be reported using measures such as task completion, focus behaviour, digital activity patterns and perceived control. MindFull could then provide a foundation for digital wellbeing systems that are more contextual, personalised and human-centred. In short, the goal is not to use technology at any cost. The goal is to use it intentionally and in ways that support what matters to the user.
[1] What Makes Good Digital Time? Striking the Right Balance Between Productivity and Control,” Computers in Human Behavior Reports, vol. 23, Aug. 2026, Art. no. 101219. [2] Y. Shin, “Towards Human-Centered Artificial Intelligence for Users’ Digital Well-being: A Systematic Review, Synthesis, and Future Directions,” JMIR Human Factors, vol. 12, e69533, 2025, doi: 10.2196/69533. [3] G. Bondanini, C. Giovanelli, N. Mucci, and G. Giorgi, “The Double Edge of Digital Connectivity: Balancing Productivity and Well-being in the Modern Workplace,” International Journal of Environmental Research and Public Health, vol. 22, no. 6, 845, 2025. [4] M. Gui, T. Gerosa, G. Argentin, and L. Losi, “Mobile Media Education as a Means to Decrease Problematic Smartphone Use: Findings of a Randomised Impact Evaluation,” Computers & Education, vol. 194, 104705, 2023. [5] C. S. Conley et al., “The Effects of Mobile Technology-Delivered Interventions on Youth Well-being: Systematic Review and 3-Level Meta-analysis,” 2022. [6] S. B. Goldberg et al., “Mobile Phone-Based Interventions for Mental Health: A Systematic Meta-review of 14 Meta-Analyses of Randomized Controlled Trials,” PLOS Digital Health, 2022. [7] M. Ferrari et al., “Digital Interventions for Psychological Well-being of University Students: Systematic Review and Meta-analysis,” Journal of Medical Internet Research, vol. 24, no. 9, e39686, 2022. [8] S. Almoallim and C. Sas, “Towards Research-informed Design Implication for Interventions Limiting Smartphone Use: Functionalities Review of Digital Well-Being Apps,” JMIR Formative Research, vol.6, no.4, e31730,2022
Publication Date
9/4/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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