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>