Human Feedback Messages for Preparing for Quitting Smoking: Dataset

This repository contains 523 human feedback messages sent to daily smokers and vapers who were preparing to quit smoking/vaping with a virtual coach.<br><strong>Study</strong>Daily smokers and vapers recruited through the online crowdsourcing platform Prolific interacted with the text-based virtual coach Kai in up to five sessions between 1 February and 19 March 2024. The sessions were 3-5 days apart. In each session, participants were assigned a new preparatory activity for quitting smoking (e.g., listing reasons for quitting smoking, envisioning one's desired future self after quitting smoking, doing a breathing exercise). Between sessions, participants had a 20% chance of receiving a feedback message from one of two human coaches. More information on the study can be found in the Open Science Framework (OSF) pre-registration: https://doi.org/10.17605/OSF.IO/78CNR. The implementation of the virtual coach Kai can be found here: https://doi.org/10.5281/zenodo.11102861.<br><strong>Feedback messages</strong>All feedback messages were written by one of two Master's students in psychology. The two human coaches were directed to craft messages incorporating feedback, argument, and either a suggestion or reinforcement. They were also instructed to connect with individuals by referencing aspects of their lives, express empathy toward those with low confidence, and provide reinforcement when people were motivated.<br>When writing the feedback, the human coaches had access to data on people's baseline smoking and physical activity behavior (i.e., smoking/vaping frequency, weekly exercise amount, existence of previous quit attempts of at least 24 hours, and the number of such quit attempts in the last year), introduction texts from the first session with the virtual coach, previous preparatory activity (i.e., activity formulation, effort spent on the activity and experience with it, return likelihood), current state (i.e., self-efficacy, perceived importance of preparing for quitting, human feedback appreciation), and new activity formulation. Notably, the human coaches only had access to anonymized versions of the introduction texts and activity experience responses (e.g., names were removed). Except for the free-text responses describing participants' experiences with their previous activity and their introduction texts, all of this information is provided together with the feedback messages. For the previous and new activities, we just provide the titles and not also the entire formulations that the human coaches had access to.<br>Before sending the messages to participants on Prolific, we added a greeting (i.e., "Best wishes, Karina &amp; Goda on behalf of the Perfect Fit Smoking Cessation Team"), a disclaimer that the messages were not medical advice, and a link to confirm having read the message at the end. We also added "This is your feedback message from your human coaches Karina and Goda for preparing to quit [smoking/vaping]:" at the start of the message.<br>The human coaches approved publishing these feedback messages.<br><strong>Additional data from the study</strong>Additional data from the study such as participants' free-text descriptions of their experiences with their activities and their introductions from the first session with the virtual coach will also be published and linked to the OSF pre-registration of the study.<br><br>In the case of questions, please contact Nele Albers ([e-mail]) or Willem-Paul Brinkman ([e-mail]).本数据集仓库包含523条人工反馈消息，发送对象为正在借助虚拟教练（virtual coach）筹备戒烟/戒电子烟的每日吸烟者与电子烟使用者。<br><strong>研究</strong><br>本研究于2024年2月1日至3月19日期间开展，通过在线众包平台Prolific招募了每日吸烟者与电子烟使用者，参与者与基于文本的虚拟教练Kai进行交互，最多可参与5次会话，会话间隔为3至5天。每次会话中，参与者都会被分配一项全新的戒烟筹备活动，例如罗列戒烟理由、畅想戒烟后的理想未来自我、完成呼吸训练等。在两次会话之间，参与者有20%的概率收到两位人类教练之一发送的反馈消息。<br>本研究更多详情可查阅开放科学框架（Open Science Framework, OSF）预注册页面：https://doi.org/10.17605/OSF.IO/78CNR。虚拟教练Kai的实现代码可通过以下链接获取：https://doi.org/10.5281/zenodo.11102861。<br><strong>反馈消息</strong><br>所有反馈消息均由两位心理学硕士研究生之一撰写。两位人类教练需按照要求撰写消息，内容需涵盖反馈、论证，以及建议或强化支持。同时，教练需通过提及参与者的生活细节与他们建立联结，对信心不足的参与者表达共情，并在参与者表现出积极性时给予强化支持。<br>撰写反馈消息时，人类教练可获取以下数据：参与者的基线吸烟与身体活动行为数据（即吸烟/使用电子烟的频率、每周运动量、此前是否有过至少24小时的戒烟尝试，以及过去一年中此类戒烟尝试的次数）、与虚拟教练首次会话时提交的自我介绍文本、此前的筹备活动详情（即活动方案、参与该活动投入的精力与体验、后续参与意愿）、当前状态数据（即自我效能感、对戒烟筹备的感知重要性、对人工反馈的接受度），以及新的活动方案。值得注意的是，人类教练仅可获取经过匿名化处理的自我介绍文本与活动体验回复（例如已移除姓名信息）。除了描述参与者过往活动体验与自我介绍的自由文本回复外，上述所有信息均会随反馈消息一同公开。对于过往与新增的活动，本数据集仅提供活动标题，而非人类教练可查看的完整活动方案。<br>在通过Prolific向参与者发送消息前，我们会在消息末尾添加问候语（即"谨代表Perfect Fit戒烟团队，Karina与Goda谨致最诚挚的祝福"）、免责声明（说明本消息并非医疗建议），以及确认已阅读该消息的链接。同时，我们会在消息开头添加"以下是你们的人类教练Karina与Goda为筹备戒烟/戒电子烟发送的反馈消息："。两位人类教练已同意公开这批反馈消息。<br><strong>研究附加数据</strong><br>本研究的附加数据，例如参与者对活动体验的自由文本描述以及与虚拟教练首次会话时提交的自我介绍，也将公开并关联至本研究的OSF预注册页面。<br>如有任何疑问，请联系Nele Albers（邮箱：[e-mail]）或Willem-Paul Brinkman（邮箱：[e-mail]）。

搜集汇总

背景与挑战

背景概述

该数据集包含523条人类反馈消息，专为每日吸烟者和电子烟用户设计，用于支持戒烟准备过程。这些消息由两名心理学硕士生编写，基于用户与虚拟教练的互动数据，涵盖行为改变、电子健康等主题，并附带研究背景和元数据，适用于人工智能和心理学领域的分析。