2. Research question and hypothesis
“Does enabling grayscale mode on
smartphones reduce phone usage?”
3. Experimental design
◦ Randomized Controlled Trial (RCT) is an appropriate
design for this study.
◦ Randomly assign participants to the experimental
group (using grayscale mode) and the control group
(using standard color mode).
◦ Ensure that the two groups are comparable in terms of
demographic factors, such as age, gender,
smartphone usage habits, etc.
4. Participant selection
Recruit a sufficient number of participants to
achieve statistical power. The sample size will
depend on factors like expected effect size,
desired level of significance, and statistical
power.
5. Participant selection
Recruit a sufficient number of participants to
achieve statistical power. The sample size will
depend on factors like expected effect size,
desired level of significance, and statistical
power.
6. Data collection
◦ Install necessary tracking software or apps on
participants' smartphones to measure usage
metrics, such as screen-on time, number of app
launches, and time spent on specific apps.
◦ Consider using pre-existing smartphone usage
data for a baseline measurement before the
study starts to establish a comparison.
7. Baseline measurement
◦ Collect baseline data for all participants'
phone usage patterns over a defined period
before introducing the grayscale mode.
◦ This data will serve as a point of comparison
to measure changes during and after the
study.
8. Experimental manipulation
◦ Instruct the experimental group participants to
enable grayscale mode on their smartphones.
Provide clear and simple instructions on how to
activate this mode.
◦ The control group should continue using their
smartphones in the standard color mode as
usual.
9. Data collection during the study period
◦ Monitor and record the phone usage data of
both groups throughout the study duration.
Ensure that data collection is consistent and
unbiased.
12. Data analysis
◦ Analyze the data using appropriate statistical
methods, such as t-tests or chi-square tests, to
compare the phone usage patterns between the
experimental and control groups.
◦ Assess if there are statistically significant
differences in phone usage between the two
groups.