Description
This repository contains data and analysis code underlying the paper "User experiences with digital future-self interventions in the contexts of smoking and physical activity: A mixed methods multi-study exploration" by Kristell M. Penfornis, Nele Albers, Willem-Paul Brinkman, Mark A. Neerincx, Andrea W.M. Evers, Winifred A. Gebhardt, and Eline Meijer. This includes 1) the data underlying the analysis for study 2, 2) scripts for data preprocessing and for computing the mean effort per activity for study 2, and 3) the SPSS syntaxes used for the analyses for all three studies.
| Date made available | 15 Apr 2025 |
|---|---|
| Publisher | TU Delft - 4TU.ResearchData |
Datasets
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The impact of human feedback in a chatbot-based smoking cessation intervention: An empirical study into psychological, economic, and ethical factors - Data and analysis code for the PhD thesis chapter
Albers, N. (Creator), Melo, F. S. (Creator), Neerincx, M. A. (Creator), Kudina, O. (Creator) & Brinkman, W.-P. (Creator), TU Delft - 4TU.ResearchData, 8 Jan 2025
DOI: 10.4121/1D9AA8EB-9E63-4BF5-98A3-F359DBC932A4
Dataset/Software: Dataset
Research output
- 1 Article
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User Experiences With Digital Future-Self Interventions in the Contexts of Smoking and Physical Inactivity: Mixed Methods Multistudy Exploration
Penfornis, K. M., Albers, N., Brinkman, W. P., Neerincx, M. A., Evers, A. W. M., Gebhardt, W. A. & Meijer, E., 2025, In: JMIR Formative Research. 9, 21 p., e63893.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile2 Link opens in a new tab Citations (Scopus)12 Downloads (Pure)
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