Dataset concerning: Controlled Yet Natural: A Hybrid BDI-LLM Conversational Agent for Child Helpline Training

DOI:10.4121/5c5b69b7-f727-42d0-983f-07ab910b8460.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: 10.4121/5c5b69b7-f727-42d0-983f-07ab910b8460

Datacite citation style

Al Owayyed, Mohammed; Denga, Adarsh (2025): Dataset concerning: Controlled Yet Natural: A Hybrid BDI-LLM Conversational Agent for Child Helpline Training. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/5c5b69b7-f727-42d0-983f-07ab910b8460.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This dataset was collected as part of an evaluation study submitted to the IVA25 conference, titled "Controlled Yet Natural: A Hybrid BDI-LLM Conversational Agent for Child Helpline Training." It includes data from experimental measures, double-coding, and the analysis code. Supplementary materials are also provided, including a screenshot of the tool, materials used in Study 1, and additional explanations of the LLM prompts employed.

History

  • 2025-06-25 first online, published, posted

Publisher

4TU.ResearchData

Format

*.Rmd, *.pdf, *.py, *.md, *.png, *.csv

Organizations

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

DATA

Files (17)