cff-version: 1.2.0
abstract: "<p>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</p>"
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: 2
identifiers:
  - type: doi
    value: 10.4121/7b024697-659a-47ad-95a4-0497bf52b432.v2
license: CC BY 4.0
date-released: 2023-11-13