This paper presents a novel model for a robot’s behavioral adaptation in its long-term interaction with humans, integrating dynamic robot role adaptation with principles of flow experience from psychology. The model emphasizes the robot’s ability to fluidly adapt its support roles from leader to follower with the aim of maintaining balance between activity challenge and user skill, thereby enhancing the user’s optimal flow experiences. The work also explores the limitations and potential applications of the proposed conceptualization, with a focus on the multi-person Human-Robot Interaction paradigm. The aim is to contribute to the future development of adaptive social robots capable of sustaining long-term interactions with humans.
Publication date: 9 Jan 2024
Project Page: https://doi.org/10.1145/3610977.3634945
Paper: https://arxiv.org/pdf/2401.02833
