cff-version: 1.2.0 abstract: "
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
" authors: - family-names: Grundmann given-names: Sharon orcid: "https://orcid.org/0000-0002-3494-4259" - family-names: Al Owayyed given-names: Mohammed orcid: "https://orcid.org/0000-0002-9680-9204" title: "Dataset concerning: Lilobot: a cognitive conversational agent to train child helpline counselors on social support" keywords: version: 1 identifiers: - type: doi value: 10.4121/7b024697-659a-47ad-95a4-0497bf52b432.v1 license: CC BY 4.0 date-released: 2023-07-19