Data and code underlying the BSc thesis: Towards Effective Smoking Cessation: Understanding the Needs of Daily Smokers from eHealth Chatbot Interactions

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.

本数据集旨在为读者提供相关信息，以便理解并复现Vlad-Gabriel Iftimescu所著学士学位论文《迈向有效戒烟：从电子健康（eHealth）聊天机器人交互中洞察每日吸烟者的需求》(Towards Effective Smoking Cessation: Understanding the Needs of Daily Smokers from eHealth Chatbot Interactions)中所述的分析工作。本研究的核心目标是基于每日吸烟者与辅助戒烟聊天机器人的交互数据集，对用户需求展开系统性分析。研究已将识别出的用户需求与其部分个人特征进行关联分析。用户与聊天机器人交互后的反馈，连同其年龄、性别及受教育程度，均作为Perfect Fit研究（项目编号：628.011.211）的组成部分完成采集。本数据集包含经匿名化处理的Perfect Fit研究数据Excel文件、用于处理该数据的Python脚本，以及展示分析各环节结果的图像文件。