Business problem
People often overuse their smartphones due to a lack of effective time management
tools. Our solution involves creating a predictive model based on historical data to guide
users in setting reasonable time limits, benefiting those interested in self-time management.
Data
The data source is from our four team members' daily phone usage records, and we
are measuring the usage time every day (00:00 ~ 23:59). In addition, we also consider the
external information such as holidays, events, class hours, working hours, previous-day
social media and entertainment usage and phone pickup times that may affect our phone
usage time.
Forecasting Solution
Users will get a predicted time usage report every 00:30, and make self-time
management decisions according to the report, getting closer to their goals of proper time of
phone usage.
Recommendation
● Review and refresh the forecasting model every week to best fit the dynamic user
behaviors.
● Integrate gamification and social features to incentivize user participation and
engagement.
● Enhance forecasting models by incorporating user-selected reduction preferences
and refining time units (e.g., 15-minute intervals) to improve accuracy.