What Research Says About Reducing Smartphone Use

What does research say about reducing smartphone use?

Research says that changing the setup around your phone can reduce how much you use it, but the effects are usually modest and the evidence on well-being is mixed. Settings such as grayscale, batched notifications and self-set limits have the clearest support. Broad claims that cutting screen time will transform your mood, sleep or focus go further than the studies do.

This summary focuses on intervention studies, meaning research that changed something and measured what happened. It leaves aside the larger body of surveys that link heavy phone use to various outcomes, because those cannot show what happens when an adult deliberately cuts back.

What was studied?

The studies below tested different kinds of changes in adults and young adults.

What did the studies find?

Friction: grayscale and nudges

In the grayscale study by Dekker and Baumgartner (2023), switching phones to grayscale for a week reduced daily screen time by about 20 minutes compared with the baseline week. The number of daily unlocks did not change. Participants reported more control over their phone use and less perceived overuse and stress, but no change in productivity or sleep quality.

Olson et al. (2022) let participants choose from ten strategies, including disabling non-essential notifications and switching to grayscale, and follow them for two to six weeks. In the controlled study of 70 people, the intervention lowered screen time and problematic use scores compared with a group that only monitored its screen time. Because people combined different strategies, the study shows that a bundle can work, not which piece mattered most.

Notifications: batching versus silence

In a randomized field experiment with 237 people, Fitz et al. (2019) compared normal notifications, notifications batched three times a day, and no notifications at all. The batched group reported feeling more attentive, more productive and more in control of their phones than the control group. The no-notification group did not get those benefits and reported more anxiety and fear of missing out. The finding is useful precisely because it cuts against the instinct to turn everything off.

Commitment: limits you set in advance

Allcott, Gentzkow and Song (2022) ran a randomized experiment with social media users. Temporary payments to reduce use had effects that lasted after the payments ended, which the authors read as evidence that social media use is habit forming. Giving people a tool to set limits on their own future screen time substantially reduced use. Using an economic model, the authors estimated that self-control problems accounted for 31 percent of social media use in their sample. That figure is a model-based estimate, not a direct measurement.

Breaks: deactivation and detox

In a randomized experiment by Allcott et al. (2020), deactivating Facebook for the four weeks before the 2018 US midterm elections reduced online activity and increased offline activities such as socializing with friends and family and watching TV alone. It also increased subjective well-being and reduced later Facebook use, while reducing factual news knowledge.

A broader systematic review of 21 digital detox studies by Radtke et al. (2021), 12 of them randomized, found that effects on health and well-being, social relationships, self-control and performance varied across studies. Some found benefits, some found none, and some found negative consequences.

What does the research not show?

It is worth being precise about the gaps.

• It does not show long-term change. Most interventions ran for one to six weeks. Few studies followed people for months, so we do not know how durable these changes are.
• It does not give a safe number of hours. None of these studies set out to define healthy screen time for adults.
• It does not show that less use improves mental health for everyone. Some studies found better well-being, others found no change, and detox research includes negative effects. Individual results vary widely.
• It does not isolate every tactic. Bundled interventions show that combinations work, not which ingredient matters most.
• It may not generalize. Many samples were students or volunteers who wanted to cut back, which may overstate effects for people who are less motivated.
• It does not settle the "addiction" question. A model-based estimate of self-control problems is not a clinical diagnosis, and the research uses the word addiction in different ways.

What are the practical takeaways?

Here is how the evidence translates into a routine, with the uncertainty kept in view.

1. Start with notifications, and batch rather than silence. This had the clearest evidence on how people felt about their phones, and it avoids the anxiety linked to going fully silent.
2. Add friction to the apps that hold you longest. Grayscale, logging out and moving apps off the home screen target session length. Expect minutes, not hours.
3. Set limits while you are calm. A limit chosen in advance does the stopping when you are tired.
4. Treat breaks as experiments. A short break from one app can be informative, but results vary, so watch how you actually feel rather than assuming it will help.
5. Measure with your phone, not your memory. Use Screen Time or Digital Wellbeing for a baseline and weekly comparison.

For a step-by-step version of this, see our guide on how to reduce screen time, or the specific answer on whether grayscale reduces screen time. The 30-day screen time reduction plan orders these steps across a month, and you can build a version that fits your schedule. More resources are in the phone and screen time hub.

If phone use feels tied to anxiety, low mood or problems you cannot shift on your own, talk to a doctor or licensed therapist. The studies here describe routines, not treatments.