Data and code underlying the bachelor thesis: Traits for a virtual coach to be a ”friend”

This dataset contains data and code snippets from the analysis performed during the thesis, "Traits for a virtual coach to be a friend". Here, an investigation has taken place to what characteristics the virtual coach must possess to establish this friendly relationship. Thus, the main research question is: What are the reasons for seeing the virtual coach as a stranger or friend? This research has been based on a retrospective study performed by Albers and Brinkman. Here, five hundred participants interacted with the text-based virtual coach Sam - developed for the Perfect Fit project to convince smokers to quit by performing small activities - in five separate sessions. Afterwards, each participant rated the relationship with the virtual coach, followed by an explanatory free-text response to which thematic analysis was applied. The quality of the thematic analysis has been ensured by researcher and method triangulation. Researcher triangulation, where multiple researchers were involved, determined the reliability of the coding scheme generated during thematic analysis. Method triangulation, which supported the findings, was executed with the free-text responses, literature, and quantitative data, containing demographic and smoke-related characteristics.本数据集收录了学位论文《虚拟教练作为友人所需的特质（Traits for a virtual coach to be a friend）》中分析环节所用到的数据与代码片段。本研究围绕虚拟教练需具备哪些特质方能与用户建立友人般的关系展开探究，其核心研究问题为：人们为何会将虚拟教练视作陌生人或是友人？本研究基于阿尔伯斯（Albers）与布林克曼（Brinkman）开展的一项回顾性研究。该研究中，500名参与者在5次独立会话中，与基于文本的虚拟教练Sam进行交互——该教练由Perfect Fit项目开发，旨在通过引导用户完成小型活动帮助吸烟者戒烟。随后，每名参与者需对自身与该虚拟教练的关系进行评分，并提交一段解释性自由文本回复，后续对该回复开展了主题分析。本研究通过研究者三角验证与方法三角验证保障了主题分析的质量：其中研究者三角验证通过引入多名研究者参与，确定了主题分析过程中生成的编码方案的可靠性；方法三角验证则结合自由文本回复、文献资料与包含人口统计学及吸烟相关特征的定量数据开展，为研究发现提供了支撑。