Data underlying the publication: Why don’t you do what you said you would? Conversational strategies for agents supporting healthy lifestyle change

DOI:10.4121/262ed770-3794-4ca2-a9f1-265593f72c77.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: 10.4121/262ed770-3794-4ca2-a9f1-265593f72c77

Datacite citation style

Chen, Pei-Yu; Tielman, Myrthe; M.B. (Birna) van Riemsdijk; Heylen, Dirk; C.M. (Catholijn) Jonker (2025): Data underlying the publication: Why don’t you do what you said you would? Conversational strategies for agents supporting healthy lifestyle change. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/262ed770-3794-4ca2-a9f1-265593f72c77.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

The data is collected in the experiment with the paper "Why don’t you do what you said you would? Conversational strategies for agents supporting healthy lifestyle change" by Pei-Yu Chen, Dirk Heylen, Catholijn Jonker, Birna van Riemsdijk, and Myrthe Tielman. This paper aims to explore the effects of different dialogue strategies on emotion and elicited information.


The dataset consists of 1) participants' responses in different strategy conditions ('guided_free.csv', 'guided_MC.csv', 'open.csv'), 2) regression models reported in the paper ('analysis script.R'), 3) the results of the inductive coding is in the file 'open-coded-combination.csv', 4) with which we use the script 'combination_analysis_new.py' to look for patterns in user's behavior explanations.


The README file details the data-specific information in the csv.

History

  • 2025-04-22 first online, published, posted

Publisher

4TU.ResearchData

Format

.R/.PY/.csv./

Funding

  • Hybrid Intelligence Center (a 10-year programme funded by the Dutch Ministry of Education, Culture and Science through the Netherlands Organisation for Scientific Research).

Organizations

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

DATA

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