This repository contains the results, data, and insights gathered from the Body-Actuating Play Validation Workshop. The workshop was designed to evaluate and validate the Body-Actuating Play (BAP) framework, which focuses on exploring shared control between human bodies and technology through play. This repository provides access to the raw data, analysis, and findings from the workshop, serving as a resource for researchers, designers, and practitioners interested in the intersection of human-computer interaction, bodily play, and augmented human systems.
The Body-Actuating Play Validation Workshop was conducted to gain feedback on the BAP framework, with a focus on the Control-Corporeality Framework and its application in game design. Participants in the workshop engaged in various exercises and discussions to provide insights into the framework's effectiveness and areas for improvement. The results of this workshop are documented in this repository.
The repository is structured as follows:
- /data/: Contains the raw data collected during the workshop, including participant responses and feedback.
- /analysis/: Includes scripts and tools used to analyze the data, as well as the results of the analysis.
- /results/: Provides the summarized findings from the workshop, including visualizations and key insights.
- /docs/: Documentation related to the workshop, including the workshop agenda, materials, and protocols used.
Researchers and practitioners can use the data and findings in this repository to:
- Explore the validation of the Body-Actuating Play framework.
- Understand participant feedback and suggestions for improving the Control-Corporeality Framework.
- Apply the insights from the workshop to similar research or design projects in the field of human-computer interaction and bodily play.
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Clone the repository:
git clone https://github.com/Integrated-Motor-Play/Body-Actuating_Play-Validation-Workshop-Results.git
-
Navigate to the directory:
cd Body-Actuating_Play-Validation-Workshop-Results -
Explore the data and analysis:
- Review the data files in the
/data/directory. - Check out the analysis scripts in the
/analysis/directory. - Read through the summarized findings in the
/results/directory.
- Review the data files in the
We welcome contributions to this repository! If you have suggestions for improving the analysis or would like to add further insights, please feel free to create a pull request or open an issue.
- Fork the repository.
- Create a new branch for your feature or fix.
git checkout -b feature-branch-name
- Make your changes and commit them with a clear message.
git commit -m "Description of changes" - Push to your fork and submit a pull request.
git push origin feature-branch-name
This repository is licensed under the MIT License. Feel free to use, modify, and distribute the contents as long as you comply with the terms of the license.
For any questions, comments, or inquiries, please contact the repository maintainers at [rakeshpatibanda@gmail.com].
Feel free to modify this README to better suit your repository's specific details and needs.