Grundmann, Sharon; Al Owayyed, Mohammed (2023): Dataset concerning: Lilobot: a cognitive conversational agent to train child helpline counselors on social support. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/7b024697-659a-47ad-95a4-0497bf52b432.v1

Version 2 - 2023-11-13 (latest)

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Categories

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

Keywords

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

Licence

CC BY 4.0

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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. 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

History

• 2023-07-19 first online, published, posted

Publisher

4TU.ResearchData

Format

*.docx, *.Rmd, *.pdf, *.xlsx, *.csv, *.md

Organizations

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