TY - DATA T1 - Data and code underlying the BSc thesis: Towards Effective Smoking Cessation: Understanding the Needs of Daily Smokers from eHealth Chatbot Interactions PY - 2024/01/29 AU - Vlad Iftimescu UR - DO - 10.4121/257decd4-5980-4731-a368-67abfca7c308.v1 KW - smoking KW - needs KW - user characteristics KW - correlations KW - eHealth KW - cessation N2 -

This dataset serves for providing readers with information to understand and reproduce the analysis described in the Bachelor's thesis paper: "Towards Effective Smoking Cessation: Understanding the Needs of Daily Smokers from eHealth Chatbot Interactions" by Vlad-Gabriel Iftimescu. The objective of this research is to provide an analysis of users' needs based on a dataset of daily smokers' interactions with a chatbot designed to help them quit. The identified needs of the users have been correlated with some of their personal characteristics. The responses of the users to their interactions with the chatbot, together with their ages, genders and education levels were gathered as part of the Perfect Fit study (project number 628.011.211). This dataset contains anonymized Excel files with the Perfect Fit data, Python scripts which were used to process said data, as well as images depicting the results from various steps of the analysis.

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