Research methods
I reviewed academic literature about the impact of using different color schemes in UI design. In the process, I identified legibility, personalization and customization, emotion and perception, health effects, and performance as significant factors in shaping the user experience for both light and dark modes.
Additionally, I set up an online survey to collect data on participants' smartphone make + model, preferred color mode, usage habits, and any eye strain experienced due to prolonged screen time (hoping to gain insight into whether one mode was more likely to cause visual fatigue than the other). I distributed it via email and across social media platforms over several weeks.
I then utilized Python to process and structure the data I received from the survey. I leveraged libraries such as Pandas for data indexing and Matplotlib to visualize trends, themes, etc.
Challenges and constraints
In total, 22 participants completed the survey, resulting in a relatively small sample size that inevitably influenced the variety of responses I could obtain. For example, all participants reported using an Apple smartphone as their primary device, which introduced a significant bias and made deriving conclusive insights challenging. This sameness limited the applicability of my findings to the broader population and emphasized the need for caution when interpreting the results.
Nonetheless, the data collected potentially serves as a foundation for more extensive, representative research.