Chatbot as Advisers dataset

A dataset from an online studies on a simulated social trading platform using a chatbot to give participants advice on investment. 64 participants interacted with a chatbot across 4 conditions: human-like/not human-like, and with reply suggestion buttons/without reply suggestion buttons embedded in the user interface. They were shown 10 different portfolios to follow or unfollow at 5 separate month intervals, basing their decision on the advice of the chatbot or a separate news feed that would try to predict the next change in portfolio value. Participants were assigned an initial virtual balance of £1000. Image tagging was included as a distracting secondary task. All the messages exchanged to and from the chatbot are included, as well as the user actions and image tagging. Participant demographic data included in a separate file.

一项在线研究数据集，该研究以模拟社交交易平台为背景，利用聊天机器人向参与者提供投资建议。共有64名参与者在不同条件下与聊天机器人互动：模拟人类特征与非人类特征，以及界面中嵌入回复建议按钮与未嵌入回复建议按钮。参与者被展示10种不同的投资组合，需在5个月的不同时间点选择跟随或取消关注，其决策基于聊天机器人的建议或一个试图预测投资组合价值变化的独立新闻源。每位参与者被分配了初始虚拟资金1000英镑。研究还包括一项作为干扰任务的图像标记。所有与聊天机器人之间的交流信息，以及用户行为和图像标记均被收录。参与者的人口统计信息包含在单独的文件中。