Data and code underlying the master thesis: Goal-setting dialogue for physical activity with a virtual coach

This dataset contains data and analysis from the experiment conducted for the thesis <em>Goal-setting dialogue for physical activity with a virtual coach. </em> <br> We studied goal-setting with a virtual coach (conversational agent). The purpose of this study was to find out whether presenting examples of people who achieved a running or walking goal enhances running or walking self-efficacy of the user. We evaluated two example types: general examples (the overall most motivating examples) or examples that were personalized. Personalized examples were examples that people similar to the user considered motivating. An experiment was conducted to evaluate whether there was an increase in users' self-efficacy after the conversation with the virtual coach, how motivating the given examples were, and users' attitudes towards the virtual coach.

本数据集包含为论文《面向身体活动的虚拟教练目标设定对话》开展的实验相关数据与分析结果。我们针对虚拟教练（对话代理，conversational agent）的目标设定交互展开研究。本研究的核心目标为探究：展示达成跑步或步行目标的人物案例，是否能够提升用户的跑步与步行自我效能感。本次研究评估了两类案例：通用案例（整体最具激励效果的案例）与个性化案例，其中个性化案例指与用户画像相似的人群认为具备激励作用的案例。本研究开展对照实验，以评估用户在与虚拟教练完成对话交互后，其自我效能感是否有所提升、所提供案例的激励效果如何，以及用户对虚拟教练的态度倾向。