不要说永远：探索可用知识对代理说服力的影响在受控的物理治疗动机对话中
Never say never: Exploring the effects of available knowledge on agent persuasiveness in controlled physiotherapy motivation dialogues
AI总结：
本文研究了可用知识如何影响代理在物理治疗动机对话中的说服力，通过比较ChatGPT生成的回应，发现知识配置显著提升了代理的说服力和表达力。
摘要：
生成式社会代理（GSAs）通过说服手段日益影响人类用户。一方面，它们可能激励用户追求个人目标，如健康生活方式；另一方面，由于对概率代理输出的有限控制，可能引发操纵和欺骗风险。然而，由于GSAs的行为基于可用知识，其行为可通过知识访问进行调节。本文通过比较ChatGPT生成的回应与预设输入，探讨了人类-机器人物理治疗动机对话中的说服力。在第一项研究中，我们分析了13个不同知识配置的ChatGPT生成对话脚本。在第二项研究中，第三方观察者（N=27）评估了这些对话的表达性、断言性和说服力。研究发现，基于LLM的GSAs能够适应断言性和表达性的人格特质，显著增强了感知说服力。此外，患者年龄和过去职业的信息可用性通过感知的断言性和表达性中介，显著提升了说服力。与之相比，关于物理治疗益处的上下文知识对说服力没有显著影响，可能是因为LLM本身已具备此类知识，即使没有明确提示。总体而言，本研究强调了对GSAs行为模式进行实证研究的重要性，特别是需要确定生成式AI系统需要哪些信息以实现一致和负责任的沟通。
英文摘要：
Generative Social Agents (GSAs) are increasingly impacting human users through persuasive means. On the one hand, they might motivate users to pursue personal goals, such as healthier lifestyles. On the other hand, they are associated with potential risks like manipulation and deception, which are induced by limited control over probabilistic agent outputs. However, as GSAs manifest communicative patterns based on available knowledge, their behavior may be regulated through their access to such knowledge. Following this approach, we explored persuasive ChatGPT-generated messages in the context of human-robot physiotherapy motivation. We did so by comparing ChatGPT-generated responses to predefined inputs from a hypothetical physiotherapy patient. In Study 1, we qualitatively analyzed 13 ChatGPT-generated dialogue scripts with varying knowledge configurations regarding persuasive message characteristics. In Study 2, third-party observers (N = 27) rated a selection of these dialogues in terms of the agent's expressiveness, assertiveness, and persuasiveness. Our findings indicate that LLM-based GSAs can adapt assertive and expressive personality traits - significantly enhancing perceived persuasiveness. Moreover, persuasiveness significantly benefited from the availability of information about the patients' age and past profession, mediated by perceived assertiveness and expressiveness. Contextual knowledge about physiotherapy benefits did not significantly impact persuasiveness, possibly because the LLM had inherent knowledge about such benefits even without explicit prompting. Overall, the study highlights the importance of empirically studying behavioral patterns of GSAs, specifically in terms of what information generative AI systems require for consistent and responsible communication.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
