论文标题
有说服力的对话的效果：测试机器人身份和查询策略
Effects of Persuasive Dialogues: Testing Bot Identities and Inquiry Strategies
论文作者
论文摘要
智能对话代理商或聊天机器人可以采用各种身份，并越来越多地以人性化的目标进行更有说服力的目标。但是，关于身份和探究策略如何影响对话的有效性，知之甚少。我们进行了一项在线研究，涉及790名参与者，由聊天机器人说服慈善捐赠。我们设计了两个乘以四个阶乘实验（两个聊天机器人身份和四个查询策略），其中参与者被随机分配到不同条件。研究结果表明，聊天机器人的感知身份对说服结果（即捐赠）和人际观念（即能力，信心，温暖和真诚）具有重大影响。此外，我们确定了感知的身份和探究策略之间的相互作用效应。我们讨论了发展道德和有效说服力聊天机器人的理论和实际含义的发现。我们发布的数据，代码和分析是迈向建立有能力的道德说服力聊天机器人的第一步。
Intelligent conversational agents, or chatbots, can take on various identities and are increasingly engaging in more human-centered conversations with persuasive goals. However, little is known about how identities and inquiry strategies influence the conversation's effectiveness. We conducted an online study involving 790 participants to be persuaded by a chatbot for charity donation. We designed a two by four factorial experiment (two chatbot identities and four inquiry strategies) where participants were randomly assigned to different conditions. Findings showed that the perceived identity of the chatbot had significant effects on the persuasion outcome (i.e., donation) and interpersonal perceptions (i.e., competence, confidence, warmth, and sincerity). Further, we identified interaction effects among perceived identities and inquiry strategies. We discuss the findings for theoretical and practical implications for developing ethical and effective persuasive chatbots. Our published data, codes, and analyses serve as the first step towards building competent ethical persuasive chatbots.
