Data underlying the publication: Virtual Coaching for Smoking Cessation: What are Users Preference in Ethical Principles for Human Feedback Allocation

This is the analysis code underlying the paper "Virtual Coaching for Smoking Cessation: What are Users Preference in Ethical Principles for Human Feedback Allocation" by Glebs Labunskis, Nele Albers, and Willem-Paul Brinkman. In this paper, we conduct a mixed-methods analysis of people's preferences of ethical principles that a virtual assistant for smoking cessation should follow for deciding how to allocate human feedback.Data:Our analysis is based on the data collected in an online experiment in which more than 500 daily smokers interacted with the text-based virtual coach (i.e., a conversational agent) in up to 5 sessions. In each session, the virtual assistant proposed a new preparatory activity for quitting smoking or becoming more physically active, with the latter possibly aiding the former. After the 5 sessions, participants filled in a post-questionnaire in which they answered a set of questions. Our paper focuses on people's free-text responses to the question "When a human coach cannot give feedback to everybody after each session due to time constraints, which principles/rules do you think the virtual coach should follow to decide when a human coach should give feedback to people who are preparing to quit smoking?". The complete dataset can be found here: https://doi.org/10.17605/OSF.IO/78CNR.本分析代码对应Glebs Labunskis、Nele Albers及Willem-Paul Brinkman发表的论文《戒烟虚拟辅导：用户对人类反馈分配伦理原则的偏好研究》（Virtual Coaching for Smoking Cessation: What are Users Preference in Ethical Principles for Human Feedback Allocation）。本研究针对戒烟虚拟助手在决策如何分配人类反馈时应遵循的伦理原则偏好开展混合方法分析。 数据集：我们的分析数据源自一项线上实验，共有500余名每日吸烟者参与，参与者可与基于文本的虚拟辅导师（即对话智能体（conversational agent））进行至多5轮交互。每轮会话中，虚拟助手都会提出一项全新的戒烟预备活动，或提升身体活动量的预备活动——后者可辅助前者推进。5轮会话结束后，参与者需填写事后问卷并回答一系列问题。本论文重点关注参与者针对下述问题的自由文本回复："若因时间限制，人类辅导师无法为每位参与者的每一轮会话提供反馈，你认为虚拟辅导师应遵循哪些原则/规则，来决定人类辅导师应当为哪些正在为戒烟做准备的参与者提供反馈？"完整数据集可在此获取：https://doi.org/10.17605/OSF.IO/78CNR。