Stress in Office is a model that classifies physiological measurements of stress response. Trained on a study of email-use patterns and interaction with office stressors, including how these interactions are mediated by individual characteristics, like age, gender, nationality, first language, education.
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- data — data used and produced
- CSV files:
- Data to Model: clean data without null values and containing all features available on the dataset
- Stress vs. Productivity DataFrame: CSV file containing data related to personality tests, physiological measurements and heart rate date from participants
- Pickles:
- Study Keys: information on variables (meaning, min and max values, etc) extracted from the paper to support model development
- Extracted model features: selected features after dimensionality reduction
- CSV files:
- notebooks — data treatment process divided into four Jupyter Notebooks with explanations
- presentation — data visualizations and presentation
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Office Tasks 2019 – A Multimodal Dataset
- Contributors: Ioannis Pavlidis, Shaila Zaman, Amanveer Wesley, Christopher Blank
- Date created: 2019-05-17 06:53 PM | Last Updated: 2019-09-30 08:23 PM
- Identifier: DOI 10.17605/OSF.IO/ZD2TN
- Category: Project
- License: CC0 1.0 Universal
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- Authors: Shaila Zaman, Amanveer Wesley, Dennis Rodrigo Da Cunha Silva, Pradeep Buddharaju, Fatema Akbar, Ge Gao4, Gloria Mark, Ricardo Gutierrez-Osuna & Ioannis Pavlidis
- License:
Open Access
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