Research Tab
1. Introduction
In the Research tab, you have the ability to define your research variables, encompassing both independent and dependent variables, alongside formulating hypotheses. While completing this tab is not mandatory, it offers a structured way for you to methodically organize your gamified research.
2. Interface

As shown in Figure 1, The interface consists of 4 parts:
- (1-3) Tabs where you can switch between creating independent variables, dependent variables, and hypothesis
- (4-5) Introduction to these different components in the research tabs.
- (6) Place where you create these different components.
- (7) Place that shows the components you created.
3. Create Independent and Dependent Variables

If you click on “create new variable” in (6) introduced in Interface, or you click on the previous variables you defined in (7) in Interface, you will enter the interface shown in Figure 2. The (in)dependent variables have the following properties, which can be defined in (1) and (2).
- Variable Name: the name of the variable.
- Value Type: you can choose from different predefined value types, including integer, decimal, text, and true/false.
- Level Type: you can choose from different predefined level types (restricted by the value type you choose), including category, ordered, and measurable. After you choose the level type, you can further define the type you choose in (2).
After you create the variables, you:
4. Create Hypothesis

- Edit the hypothesis by entering text in the white input bar.
- Delete the hypothesis by clicking on the trash can at the right bottom of the input bar.
- Add a new hypothesis by clicking on the “ADD HYPOTHESIS”.
5. Q&A
Q1. Why should I create research variables?
StudyCrafter logs all variables and player choices throughout the game, providing a structured way to collect and analyze user data. While creating research variables is not necessary, it significantly enhances tracking and allows users to better shape their studies. By defining key variables, researchers can monitor participant behavior, control experimental conditions, and personalize gameplay experiences. This flexibility enables more precise data collection, deeper insights, and greater control over study design, ultimately improving the reliability and effectiveness of interactive research experiments.
Q2. What are the value types and level types?
Please check “Variables” under “Scriptor Tab” in Onboarding.
Q3. How can I use the research variables?
Please check “Variables” under “Scriptor Tab” in Onboarding.
Q4. Where can I find the experiment results?
Please check “Data Collection” part in Quick Start Video.