Bytes of a Feather: Personality and Opinion Alignment Effects in Human-AI Interaction
Maximilian Eder, Clemens Lechner, Maurice Jakesch
与AI助手的互动越来越个性化,个人用户。 由于人工智能个性化是动态的和机器学习驱动的,我们对个性化如何影响交互结果和用户感知的理解有限。 我们进行了一项大规模的对照实验,其中1000名参与者与AI助手进行了互动,这些助手承担了某些人格特征和观点立场。 我们的结果表明,参与者始终倾向于与分享他们意见的模型进行互动。 参与者还发现,与意见一致的模型更值得信赖,称职,温暖和有说服力,证实了AI-相似性吸引力的假设。 相比之下,我们观察到AI人格对齐的微弱影响,内向型模型被内向的参与者评为不那么值得信赖和称职。 这些发现强调了意见调整是人工智能个性化和用户偏好的核心维度,同时强调需要对个性化人工智能的局限性和风险进行更深入的讨论。
Interactions with AI assistants are increasingly personalized to individual users. As AI personalization is dynamic and machine-learning-driven, we have limited understanding of how personalization affects interaction outcomes and user perceptions. We conducted a large-scale controlled experiment in which 1,000 participants interacted with AI assistants that took on certain personality traits and opinion stances. Our results show that participants consistently preferred to interact with models t...