On this page you can download experimental data from various spatial reasoning experiments, generate arbitrary relational reasoning tasks due to your own specifications and finally compute all relevant PRISM values for your own experimental data.

Download Experimental Data

This sections contains the data of 8 experiments which have been run at the University of Freiburg. The performance of human subjects is directly linked to the complexity measure of PRISM.

You can select data from one or more experiments to receive the respective data file in the .csv format. The file contains all tasks which have been tested in the selected experiments. The data provides average correctness rates, reaction times and the PRISM complexity measure for each task.

SelectionName of data setNr termsPresentationIndeterminism
Comparison1-3prem 2 Verbal on Screen Both
Comparison1-4prem 3 Verbal on Screen Both
Comparison 2 3 Visual on Screen
FlyingDots 2 2 Verbal on Screen Det
Fourterm 3 Visual on Screen Det
Fourstage 3 Auditiv Det
Flist-3prem 3 Verbal on Screen
Flist-4prem 4 Verbal on Screen
Or upload your own csv File:

And show the computed output on the website or download as .csv file:

Generate tasks

This section provides a generator for arbitrary relational reasoning tasks. You can select the number of premises and objects, and the used relations. You will receive a list of all possible consistent task wich can be designed given your specification. For every task you get the values of PRISM's complexity measure.

Nr of premises:

Nr of objects:

Relations: * use a subset of {left, right, front, behind}. Seperate with commata.

Warning: The generation of tasks might take some time!

Compute Model Data

This section can be used to compute PRISM's complexity measure for your own spatial reasoning tasks. The input has to be defined as a table with comma seperated lines to be understandable for PRISM.

In the first line you write the header description. The header must contain two or more premise tags: prem1, prem2, prem3, ... A conclusion tag concl is optional. Additional information can be added to the header and will be contained in the resulting data file.

Below the header, you can define a set of tasks. Each task has got its own line and must have got as many comma seperated attributes as the header. To be understandable for PRISM each premise and conclusion must be expressed by one of the following four relations: left, right, front, behind. A single premise is defined in the form Object1 Relation Object2.

Take the initially loaded tasks in the textfield as an example and feel free to replace them with your own definitions.

Or upload your own csv File:

And show the computed output on the website or download as .csv file: