The doi 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: 10.4121/7b024697-659a-47ad-95a4-0497bf52b432

Grundmann, Sharon; Al Owayyed, Mohammed (2023): Dataset concerning: Lilobot: a cognitive conversational agent to train child helpline counselors on social support. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/7b024697-659a-47ad-95a4-0497bf52b432.v2

Dataset

x choose version: version 1 - 2023-07-19

• Artificial Intelligence and Image Processing
• Education and Training Systems
• Education and Training
• Information and Computing Sciences

bdi agent, belief-desire-intention software model (BDI), Chatbot, child counselling, conversational agent (CA), helpline, Training system, virtual patient

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Sharon Grundmann , Mohammed Al Owayyed

Data collected as part of an evaluation study of a BDI-based conversational agent for training counsellors of a child helpline to publish a paper, "Dataset concerning: Lilobot: a cognitive conversational agent to train child helpline counselors on social support". This dataset contains survey responses of participants with regards to two measures - counselling self-efficacy and perceived usefulness of the agent, in addition to usefulness and BDI scores. It also contains double coding analysis and training materials. The design of the study is available at https://osf.io/hkxzc. This dataset was built on a previous dataset made for Sharon Grundmann's Master thesis: https://doi.org/10.4121/17371919

• 2023-07-19 first online

• 2023-11-13 published, posted

4TU.ResearchData

*.Rmd, *.pdf, *.csv, *.md

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