Feasibility of generating structured motivational messages for tailored physical activity coaching: Data and analysis code

This is the data and analysis code underlying the paper "Feasibility of generating structured motivational messages for tailored physical activity coaching" by Ramya P. Ghantasala, Nele Albers, Kristell M. Penfornis, Milon van Vliet, and Willem-Paul Brinkman. In this paper, experts wrote structured motivational messages for physical activity coaching tailored to a person's mood, self-efficacy, and progress and evaluated the perceived motivational impact of these messages in an online study with 60 participants. We further conducted a thematic analysis of participants' free-text responses about what they find motivating and demotivating in motivational messages.<br><strong>Study</strong>The study was conducted on the online crowdsourcing platform Prolific between December 2021 and January 2022. The Human Research Ethics Committee of Delft University of Technology granted ethical approval for the research (Letter of Approval number: 1814). 60 participants each rated the perceived motivational impact of 6 generic and 6 tailored messages based on scenarios. This repository contains both the generic and tailored motivational messages and the scenarios.<br><strong>Data</strong>We provide data on:participant characteristics (e.g., age, gender, stage of change for becoming physically active),the perceived motivational impact ratings,the free-text responses about what people found motivating and demotivating in motivational messages.<br>The file "data/Columns explanation.xlsx" explains in detail how each variable was measured.<br><strong>Analysis</strong>We provide code to reproduce our analysis with Docker. For more information on this, please refer to the README-file in this repository.<br>In the case of questions, please contact Nele Albers ([e-mail]) or Willem-Paul Brinkman ([e-mail]).<br>

本数据集对应Ramya P. Ghantasala、Nele Albers、Kristell M. Penfornis、Milon van Vliet与Willem-Paul Brinkman合著的论文《为定制化体育活动指导生成结构化激励信息的可行性》（Feasibility of generating structured motivational messages for tailored physical activity coaching），包含该论文依托的实验数据与分析代码。在该研究中，专家针对个体的情绪、自我效能感(self-efficacy)与行为进展情况，撰写了用于体育活动定制化指导的结构化激励信息，并通过招募60名参与者的线上实验，评估了这些信息的感知激励效果。此外，研究团队还对参与者的自由文本反馈开展了主题分析，以探究其认为具有激励性与反激励性的激励信息特征。
<strong>实验概况</strong>：本实验于2021年12月至2022年1月期间，在众包平台Prolific(Prolific)上开展。代尔夫特理工大学(Delft University of Technology)人类研究伦理委员会批准了本研究的伦理审查（批准函编号：1814）。60名参与者分别对6条通用型激励信息与6条基于预设场景的定制化激励信息的感知激励效果进行评分。本仓库包含通用型与定制化激励信息及相关实验场景。
<strong>数据集内容</strong>：本数据集提供以下类型的数据：1. 参与者特征信息（如年龄、性别、参与体育活动的行为改变阶段(stage of change)等）；2. 感知激励效果评分数据；3. 参与者关于激励信息中激励/反激励因素的自由文本反馈。文件"data/Columns explanation.xlsx"详细说明了各变量的测量方式。
<strong>分析代码</strong>：本数据集提供了可通过Docker(Docker)复现研究分析的代码。如需了解更多相关信息，请参阅本仓库中的README文件。
如有任何疑问，请联系Nele Albers（邮箱：[e-mail]）或Willem-Paul Brinkman（邮箱：[e-mail]）。