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Randomness Perception Experiment

Overview

This project hosts a web-based psychological experiment designed for participants to act as space rescuers. Participants are tasked with analyzing radio transmission sequences to distinguish between natural phenomena and human-generated signals. The experiment utilizes the jsPsych library to present the stimuli and collect responses.

Features

Display of randomized scenarios based on a space rescue theme. Collection of demographic data from participants. Presentation of radio wave sequences for participants to rate their randomness. Data collection in CSV format for easy analysis. Getting Started These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

A modern web browser (e.g., Chrome, Firefox, Safari). A local server environment (e.g., Apache, Nginx) or IDE with live server capabilities (e.g., Visual Studio Code with Live Server extension). Installation Clone the repository to your local machine: bash Copy code git clone https://github.com/your-username/your-repo-name.git Navigate to the cloned directory. Ensure the jspsych-6.3.1 folder contains all the necessary jsPsych library files and plugins. Running the Experiment To run the experiment:

Open the cloned project in your local server environment or IDE. Navigate to the index.html file and open it in a web browser. The experiment should start, presenting the instructions, followed by the experiment itself. Structure index.html: The main HTML file containing the experiment setup. jspsych-6.3.1/: Directory containing the jsPsych library and its plugins. css/jspsych.css: The stylesheet for jsPsych elements. Contributing Contributions to the experiment are welcome. Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

Authors

Victoria Wen - Initial work - vicccwen

Acknowledgments

jsPsych library for providing an excellent framework for web-based psychological experiments. Any other contributors or sources of inspiration or code.

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