This Unity project is designed to conduct experiments based on Fitts' Law, a predictive model of human movement primarily used in human-computer interaction and ergonomics. This law predicts the time required to rapidly move to a target area, such as in the case of a mouse cursor moving to a button on the screen. The project allows for a variety of settings and customizations to suit different experimental needs.
- Task Types: Supports OneDimensional and TwoDimensional tasks, allowing for a range of experiments from simple linear movements to more complex 2D tasks.
- Selection Methods: Includes MouseButton and DwellTime selection methods, catering to different interaction styles and accessibility needs.
- Customizable Settings: Offers a wide range of settings, including the number of trials, target sizes, amplitudes, and more, to tailor the task to specific research requirements.
- Visual Customization: Provides options to customize the appearance of targets and the cursor, including colors and sprites, to enhance the user experience or match the study's design.
- Logging: Features comprehensive logging capabilities, capturing detailed event, movement, and evaluation data for thorough analysis.
- Performance Metrics: Calculates and logs various performance metrics such as mean times, error rates, and throughput, providing valuable insights into user performance and behavior.
- Unity Editor (Version 2019.4 or later recommended)
- Basic understanding of Unity and C#
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Open the project in Unity:
- Launch Unity Hub.
- Click on 'Add' and select the cloned/downloaded project directory.
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Explore the project:
- Navigate through the assets and scenes to familiarize yourself with the structure.
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Configure the Task:
- Select the
FittsTaskGameObject in the hierarchy. - Adjust the settings in the Inspector to set up your desired task parameters.
- Select the
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Run the Experiment:
- Press the Play button in Unity to start the experiment.
- Interact with the task as per the configured settings.
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Review the Logs:
- Find the logs in the specified paths within your project directory or the designated output directory.
- Task Settings: Customize the task type, selection method, number of trials, and more through the Inspector.
- Visuals: Change the sprites, colors, and sizes of targets and the cursor to match your study's needs.
- Logging: Enable or disable different types of logging and specify paths for the output files.
Contributions to enhance or expand the project are welcome! Please feel free to fork the repository, make your changes, and submit a pull request.
This project is open-source and available under the MIT License.
- The tool is based on Scott MacKenzies implementation of GoFitts and https://www.yorku.ca/mack/hcii2015a.html
For more details on how to use, customize, and contribute to this project, please refer to the individual files and comments within the project.