Dataset concerning: Lilobot: a cognitive conversational agent to train child helpline counselors on social support

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

本数据集为一项评估研究所采集的数据，该研究针对一款用于培训儿童求助热线辅导员的基于信念-愿望-意图(BDI, Belief-Desire-Intention)的对话智能体展开，相关研究成果将以论文《数据集说明：Lilobot——一款面向儿童求助热线辅导员开展社交支持培训的认知对话智能体》发表。本数据集包含参与者针对两项核心指标的调研问卷反馈——辅导自我效能感与智能体感知有用性，同时还收录了智能体有用性评分与BDI评分数据。此外，数据集还包含双重编码分析结果与培训配套材料。本研究的实验设计方案可通过以下链接查阅：https://osf.io/hkxzc。本数据集基于此前为莎伦·格伦德曼(Sharon Grundmann)硕士学位论文构建的前期数据集开发而成，该前期数据集的数字对象标识符(DOI, Document Object Identifier)为：10.4121/17371919。