We present a storytelling robot, controlled via the ACT-R cognitive architecture, able to adopt different persuasive techniques and ethical stances while conversing about some topics concerning COVID-19. The main contribution of the paper consists in the proposal of a needs-driven model that guides and evaluates, during the dialogue, the use (if any) of persuasive techniques available in the agent procedural memory. The portfolio of persuasive techniques tested in such a model ranges from the use of storytelling, to framing techniques and rhetorical-based arguments. To the best of our knowledge, this represents the first attempt of building a persuasive agent able to integrate a mix of explicitly grounded cognitive assumptions about dialogue management, storytelling and persuasive techniques as well as ethical attitudes. The paper presents the results of an exploratory evaluation of the system on 63 participants
翻译:我们展示了一个通过ACT-R认知结构控制的讲故事机器人,它能够采用不同的有说服力的技巧和道德立场,同时就COVID-19的一些专题进行交谈。文件的主要贡献是提出一个需求驱动模型的建议,在对话期间指导和评价代理人程序记忆中使用(如果有的话)现有有说服力的技术。在这种模型中测试的有说服力的技术组合从讲故事到设计技巧和空谈论。据我们所知,这是首次尝试建立一个有说服力的代理人,能够把关于对话管理、讲故事和有说服力的技巧以及道德态度的有明确依据的认知假设结合起来。文件介绍了对63名参与者的系统进行探索性评价的结果。