可迁移的AI：身份和信息迁移对会话人工智能智能体用户感知的影响
Migratable AI: Effect of identity and information migration on users perception of conversational AI agents
摘要：
会话式人工智能智能体正在激增，体现了一系列设备，如智能扬声器，智能显示器，机器人，汽车等。我们可以设想一个未来，个人会话代理可以跨不同的形状因子和环境迁移，始终陪伴和帮助其用户支持更连续，个性化和协作的体验。这就提出了一个问题，即对话式人工智能智能体的哪些属性可以跨表单迁移，以及它将如何影响用户的感知。为了探索这一点，我们开发了一个可迁移的人工智能系统，在该系统中，用户的信息和/或代理的身份可以在它跨形状因子迁移时保留，以帮助其用户完成任务。我们设计了一个2x2的主题间的研究，探讨信息迁移和身份迁移对用户的信任，能力，可爱性和社会存在的看法的影响。我们的研究结果表明，身份迁移有积极的影响，信任，能力和社会存在，而信息迁移有积极的影响，信任，能力和可爱。总的来说，当身份和信息都跨实施例迁移时，用户向会话代理报告最高的信任、能力、喜爱度和社交存在。
英文摘要：
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.
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。
