Data underlying the publication: Why don’t you do what you said you would? Conversational strategies for agents supporting healthy lifestyle change

The data is collected in the experiment with the paper "Why don’t you do what you said you would? Conversational strategies for agents supporting healthy lifestyle change" by Pei-Yu Chen, Dirk Heylen, Catholijn Jonker, Birna van Riemsdijk, and Myrthe Tielman. This paper aims to explore the effects of different dialogue strategies on emotion and elicited information.<br>The dataset consists of 1) participants' responses in different strategy conditions ('guided_free.csv', 'guided_MC.csv', 'open.csv'), 2) regression models reported in the paper ('analysis script.R'), 3) the results of the inductive coding is in the file 'open-coded-combination.csv', 4) with which we use the script 'combination_analysis_new.py' to look for patterns in user's behavior explanations.<br>The README file details the data-specific information in the csv.

本数据集源自Pei-Yu Chen、Dirk Heylen、Catholijn Jonker、Birna van Riemsdijk与Myrthe Tielman发表的研究论文《为何你未能践行承诺？支持健康生活方式改变的智能体对话策略》（原文标题："Why don’t you do what you said you would? Conversational strategies for agents supporting healthy lifestyle change"），其数据来自该论文配套的实验采集工作。本论文旨在探究不同对话策略对情绪及参与者所提供信息的影响。
本数据集包含以下四类内容：1) 不同对话策略条件下的参与者回复数据，对应文件为`guided_free.csv`、`guided_MC.csv`与`open.csv`；2) 论文中报告的回归模型，对应分析脚本为`analysis script.R`；3) 归纳式编码（inductive coding）结果，存储于文件`open-coded-combination.csv`；4) 我们借助脚本`combination_analysis_new.py`结合该编码结果，对用户行为解释中的模式进行挖掘。
README文件详细说明了各CSV文件的专属数据信息。