04-10-2025, 04:23 PM
Jumping to Conclusions Bias -- Bean Task/Bead Task
Required Experiment Builder Version: 2.6.11 or higher
EyeLink Required: Yes
Type: Complete Example
Difficulty Level: Intermediate
This example demonstrates:
This example implements the Bean Task (or Bead Task) commonly used to investigate jumping to conclusions bias. The task is based generally on Phillips & Edwards (1966):
In each trial, the participant is tasked with determining which of two jars a series of drawn coloured beans, red or blue, are coming from. The percentage of blue and red beans in each jar is displayed on the screen over the respective jars. Bean draws are controlled by the participant, who must click on a 'draw bean' screen location to draw a new bean. Up to 10 beans can be drawn per trial. The participant can choose the jar they believe the draws are coming from by clicking on the particular jar. Correct/incorrect feedback is given after each trial, and the example consists of four trials.
A variable in the initial "Experiment" tab of the project, RANDOMIZE_DRAWS, controls whether the bean draws are predetermined by an order set in the project's Data Source for each trial (variable set to 0, the default value) or randomized based on the target jar colour distribution (variable set to 1).
**Additional detailed information about the project is given in the notes section for most nodes. To see notes for a given node, either mouse over that node or click on it to display the notes window. If the notes window is not visible, go to the "View" drop down menu in Experiment Builder, select "Properties", and check "Note".
Instructions:
JTC_BeanTask_WB.ebz (Size: 94.45 KB / Downloads: 4)
Required Experiment Builder Version: 2.6.11 or higher
EyeLink Required: Yes
Type: Complete Example
Difficulty Level: Intermediate
This example demonstrates:
- How to use a variable toggle and conditional node to change the logic of a project (here specifically, to set if bean draws are randomized or in a pre-set order).
- How to generate and shuffle a list using basic Python commands.
This example implements the Bean Task (or Bead Task) commonly used to investigate jumping to conclusions bias. The task is based generally on Phillips & Edwards (1966):
- Phillips, L. D., & Edwards, W. (1966). Conservatism in a simple probability inference task. Journal of Experimental Psychology, 72(3), 346-354. doi:10.1037/h0023653
In each trial, the participant is tasked with determining which of two jars a series of drawn coloured beans, red or blue, are coming from. The percentage of blue and red beans in each jar is displayed on the screen over the respective jars. Bean draws are controlled by the participant, who must click on a 'draw bean' screen location to draw a new bean. Up to 10 beans can be drawn per trial. The participant can choose the jar they believe the draws are coming from by clicking on the particular jar. Correct/incorrect feedback is given after each trial, and the example consists of four trials.
A variable in the initial "Experiment" tab of the project, RANDOMIZE_DRAWS, controls whether the bean draws are predetermined by an order set in the project's Data Source for each trial (variable set to 0, the default value) or randomized based on the target jar colour distribution (variable set to 1).
**Additional detailed information about the project is given in the notes section for most nodes. To see notes for a given node, either mouse over that node or click on it to display the notes window. If the notes window is not visible, go to the "View" drop down menu in Experiment Builder, select "Properties", and check "Note".
Instructions:
- Download the JTC_BeanTask_WB.ebz example from this message.
- Launch the Experiment Builder application.
- Unpack the JTC_BeanTask_WB.ebz file to a location on your Experiment Builder PC with "File menu -> Unpack".
- Open the project in Experiment Builder.
- Either Test Run the project (Experiment >> Test Run) or Deploy the project to a new folder (Experiment >> Deploy).
- If you opted to Deploy, you can now run JTC_BeanTask_WB.exe from the deployed directory.
