Integrating Flow Theory and Adaptive Robot Roles: A Conceptual Model of Dynamic Robot Role Adaptation for the Enhanced Flow Experience in Long-term Multi-person Human-Robot Interactions

Huili Chen, Sharifa Alghowinem, Cynthia Breazeal, Hae Won Park. Integrating Flow Theory and Adaptive Robot Roles: A Conceptual Model of Dynamic Robot Role Adaptation for the Enhanced Flow Experience in Long-term Multi-person Human-Robot Interactions. In Dan Grollman, Elizabeth Broadbent, Wendy Ju, Harold Soh, Tom Williams 0001, editors, Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2024, Boulder, CO, USA, March 11-15, 2024. pages 116-126, ACM, 2024. [doi]

@inproceedings{ChenABP24,
  title = {Integrating Flow Theory and Adaptive Robot Roles: A Conceptual Model of Dynamic Robot Role Adaptation for the Enhanced Flow Experience in Long-term Multi-person Human-Robot Interactions},
  author = {Huili Chen and Sharifa Alghowinem and Cynthia Breazeal and Hae Won Park},
  year = {2024},
  doi = {10.1145/3610977.3634945},
  url = {https://doi.org/10.1145/3610977.3634945},
  researchr = {https://researchr.org/publication/ChenABP24},
  cites = {0},
  citedby = {0},
  pages = {116-126},
  booktitle = {Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2024, Boulder, CO, USA, March 11-15, 2024},
  editor = {Dan Grollman and Elizabeth Broadbent and Wendy Ju and Harold Soh and Tom Williams 0001},
  publisher = {ACM},
}