长期人机交互中的个性化

Bahar Irfan, Aditi Ramachandran, Samuel Spaulding, Dylan F. Glas, Iolanda Leite, K. Koay
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引用次数: 32

摘要

由于实际原因,大多数人机交互(HRI)研究集中在人与机器人之间的短期交互。然而,这样的研究并没有抓住在长期互动中保持参与和互动质量的困难。许多现实世界的机器人应用将需要长期的重复交互和关系建立,个性化和适应用户将是保持用户参与和建立用户与机器人之间的融洽和信任所必需的。这个全天的研讨会汇集了来自各种研究领域的观点,包括伴侣机器人,老年人护理和教育机器人,为了提供一个论坛,分享和讨论创新,经验,正在进行的工作,以及解决长期HRI个性化挑战的最佳实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Personalization in Long-Term Human-Robot Interaction
For practical reasons, most human-robot interaction (HRI) studies focus on short-term interactions between humans and robots. However, such studies do not capture the difficulty of sustaining engagement and interaction quality across long-term interactions. Many real-world robot applications will require repeated interactions and relationship-building over the long term, and personalization and adaptation to users will be necessary to maintain user engagement and to build rapport and trust between the user and the robot. This full-day workshop brings together perspectives from a variety of research areas, including companion robots, elderly care, and educational robots, in order to provide a forum for sharing and discussing innovations, experiences, works-in-progress, and best practices which address the challenges of personalization in long-term HRI.
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