Conversational AI agents are proliferating, embodying a range of devices such as smart speakers, smart displays, robots, cars, and more. We can envision a future where a personal conversational agent could migrate across different form factors and environments to always accompany and assist its user to support a far more continuous, personalized, and collaborative experience. This opens the question of what properties of a conversational AI agent migrates across forms, and how it would impact user perception. To explore this, we developed a Migratable AI system where a user's information and/or the agent's identity can be preserved as it migrates across form factors to help its user with a task. We designed a 2x2 between-subjects study to explore the effects of information migration and identity migration on user perceptions of trust, competence, likeability, and social presence. Our results suggest that identity migration had a positive effect on trust, competence, and social presence, while information migration had a positive effect on trust, competence, and likeability. Overall, users report the highest trust, competence, likeability, and social presence towards the conversational agent when both identity and information were migrated across embodiments.
翻译:相互交流的AI代理机构正在扩散,包含各种设备,如智能扬声器、智能显示器、机器人、汽车等等。我们可以设想未来,个人谈话代理机构可以跨越不同形式因素和环境,永远陪伴和协助用户支持更连续、个性化和协作的经验。这引发了对话的AI代理机构何种性质会以不同形式迁移,以及如何影响用户认识的问题。为了探索这一点,我们开发了一个可移动的AI系统,用户的信息和(或)代理人的身份可以保存,因为它会以不同的形式移动来帮助用户完成任务。我们设计了2x2个主题间研究,以探讨信息迁移和身份迁移对用户对信任、能力、相似性和社会存在的看法的影响。我们的结果表明,身份移徙对信任、能力和社会存在产生了积极影响,而信息迁移对信任、能力和相似性产生了积极影响。总体而言,用户在身份和信息被移动时,向对话代理机构报告最高的信任、相似性、相似性和社会存在。