Personalization in Long-Term Human-Robot Interaction
Bahar Irfan, Aditi Ramachandran, Samuel Spaulding, Dylan F. Glas, Iolanda Leite, Kheng Lee Koay
- Year
- 2019
- Citations
- 58
Abstract
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.
Keywords
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