Metadata-Version: 2.1
Name: cognitivepersonalizationtaskfingerprinting
Version: 1.0.3
Summary: The source code and more information are published in the following repository: https://github.com/dennispaulino/TaskFingerprintingForCognitivePersonalizationOfWebTasksDesignPackage
Author-email: Dennis Paulino <dpaulino@utad.pt>
Project-URL: Homepage, https://github.com/dennispaulino/TaskFingerprintingForCognitivePersonalizationOfWebTasksDesignPackage
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE.txt

# TaskFingerprinting Package For Cognitive Personalization of Task Design

Source code for the  framework built for our study on assessing crowd workers behaviors for task design personalization in crowdsourcing. Beside crowdsourcing, this package can be used to perform cognitive personalization seamlessly in web tasks.
If you use our work in your research, please cite the following paper published at Sensors 2023.

> Dennis Paulino, Diogo Guimarães, António Correia, José Ribeiro, João Barroso and Hugo Paredes. A Model for Cognitive Personalization of Microtask Design. Sensors 2023, 23, 3571. https://doi.org/10.3390/s23073571 

Example of installing and using the package:

    pip install cognitivepersonalizationtaskfingerprinting
    import cptf.cog_personalization_micro_task_fingerprinting as taskfingerprinting
    import cptf.cog_personalization_deep_learning_model as dl
    
    #It is performed the task fingerprinting technique based on prompt user to enter the path of the interaction log files, and then it will be generated a csv file
    taskfingerprinting.main()
    
    #Based on the task fingerprintings' csv file, the user will be prompted to select the file and develop a deep learning model
    #CAUTION: It is best to look at the source code and adapt the respective parameters to better ajust for each specific dataset
    dl.main()

        
    
    



### Contact

Please feel free to contact Dennis Paulino (dpaulino@utad.pt) for further questions.
