论文标题
迁移的AI：身份和信息迁移对用户感知对话AI代理的影响的影响
Migratable AI: Effect of identity and information migration on users perception of conversational AI agents
论文作者
论文摘要
会话AI代理正在增殖，体现了一系列设备，例如智能扬声器，智能显示器，机器人，汽车等。我们可以设想一个未来，个人对话代理可以在不同的形式和环境中迁移，以始终伴随并帮助其用户支持更加连续，个性化和协作的体验。这就打开了一个问题，即对话AI代理的属性跨表格迁移，以及它将如何影响用户的感知。为了探讨这一点，我们开发了一个可迁移的AI系统，在该系统中，用户的信息和/或代理的身份可以保留，因为它跨形式迁移以帮助其用户完成任务。我们设计了2x2个受试者之间的研究，以探讨信息迁移和身份迁移对用户对信任，能力，可爱性和社会存在的影响的影响。我们的结果表明，身份迁移对信任，能力和社会存在产生积极影响，而信息迁移对信任，能力和可爱性产生了积极影响。总体而言，当身份和信息跨实施方案迁移时，用户向对话代理报告了最高信任，能力，可爱性和社会形象。
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.
