User experiences with digital future-self interventions in the contexts of smoking and physical activity: A mixed methods multi-study exploration - Data and analysis code

DOI:10.4121/951b2dc4-a59e-48ed-9856-af484b125393.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/951b2dc4-a59e-48ed-9856-af484b125393

Datacite citation style

Kristell M. Penfornis; Albers, Nele (2025): User experiences with digital future-self interventions in the contexts of smoking and physical activity: A mixed methods multi-study exploration - Data and analysis code. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/951b2dc4-a59e-48ed-9856-af484b125393.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

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.


Data underlying analysis for study 2

The folder "Study_2/Raw_Data" contains the data underlying the analysis for study 2. This includes:

  1. Data from participants' Prolific profiles (e.g., age, gender).
  2. Data from the prescreening questionnaire (e.g., smoking frequency).
  3. Data from the conversational sessions with the text-based virtual coach Kai (e.g., effort spent on activities).

This data is derived from the data published in this repository: https://doi.org/10.4121/1d9aa8eb-9e63-4bf5-98a3-f359dbc932a4.


Scripts for data preprocessing and mean effort computation for study 2

The folder "Study_2" further contains scripts for data preprocessing and for computing the mean effort per activity for study 2.


SPSS syntaxes

The folder "Analysis_Syntax_SPSS" contains the SPSS syntaxes used for the analyses for all three studies.


Additional resources

  1. The implementation of the text-based virtual coach Kai used in study 2 can be found here: https://doi.org/10.5281/zenodo.11102861.
  2. The preregistration of the study used to collected the data for study 2 in the Open Science Framework (OSF) can be found here: https://doi.org/10.17605/OSF.IO/78CNR.

History

  • 2025-04-15 first online, published, posted

Publisher

4TU.ResearchData

Funding

  • This work is part of the multidisciplinary research project Perfect Fit, which is supported by several funders organized by the Netherlands Organization for Scientific Research (NWO), program Commit2Data - Big Data & Health (project number 628.011.211). Besides NWO, the funders include the Netherlands Organisation for Health Research and Development (ZonMw), Hartstichting, the Ministry of Health, Welfare and Sport (VWS), Health Holland, and the Netherlands eScience Center.

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems, Interactive Intelligence

DATA

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