Acceptance of a Virtual Coach for Quitting Smoking and Becoming Physically Active: Dataset

Datacite citation style:
Albers, Nele; Mark A. Neerincx; Brinkman, Willem-Paul (2022): Acceptance of a Virtual Coach for Quitting Smoking and Becoming Physically Active: Dataset. Version 1. 4TU.ResearchData. dataset.
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choose version: version 2 - 2023-05-01 (latest)
version 1 - 2022-05-31


The data was gathered during a longitudinal study on the online crowdsourcing platform Prolific between 20 May 2021 and 30 June 2021. The Human Research Ethics Committee of Delft University of Technology granted ethical approval for the research (Letter of Approval number: 1523). 

In this study, smokers who were contemplating or preparing to quit smoking interacted with the text-based virtual coach Sam in up to five conversational sessions. In each session, participants were assigned a new preparatory activity for quitting smoking, such as thinking of and writing down reasons for quitting smoking. After the five sessions, participants filled in a post-questionnaire in which they were asked about their acceptance of Sam. Participants answered six acceptance questions, and provided a rating and a free-text response for each of them.

The study was pre-registered in the Open Science Framework (OSF): This pre-registration describes the study design, measures, etc. Note that this dataset contains only part of the collected data, namely, the data related to studying the acceptance of the virtual coach.

The implementation of the virtual coach Sam can be found here: There you can also find a list of the 24 preparatory activities used in the study (Activities.xlsx).


This dataset contains four types of data:

  • Data from participants' Prolific profiles. This includes data on demographics (e.g., age range, household size) as well as smoking and physical activity behavior (e.g., weekly exercise amount).
  • Data from a pre-screening questionnaire. This includes, for example, the responses to informed consent questions.
  • Data from a pre-questionnaire. This includes data on smoking and physical activity behavior, as well as personality and need for cognition.
  • Data from a post-questionnaire. This includes data on the acceptance of the virtual coach as well as doing the preparatory activities.

There is a separate data file for each type of data.


Parts of the dataset have been used to study the acceptance of the virtual coach. Examples include: 

  • Examining reasons for wanting to continue or stop using a virtual coach for quitting smoking and increasing physical activity (see the bachelor's thesis by Nadyne Aretz:, and
  • Investigating the acceptance of a virtual coach as a guided intervention for quitting smoking (see the bachelor's thesis by Jaap Dechering:
  • 2022-05-31 first online, published, posted
.zip, .csv, .xlsx, .md, .pdf
  • 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).
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems, Interactive Intelligence


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