A game-based approach for evaluating and customizing handwriting training using an autonomous social robot

Daniel Carnieto Tozadore, Chenyang Wang, Giorgia Marchesi, Barbara Bruno, Pierre Dillenbourg. A game-based approach for evaluating and customizing handwriting training using an autonomous social robot. In 31st IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2022, Napoli, Italy, August 29 - Sept. 2, 2022. pages 1467-1473, IEEE, 2022. [doi]

@inproceedings{TozadoreWMBD22,
  title = {A game-based approach for evaluating and customizing handwriting training using an autonomous social robot},
  author = {Daniel Carnieto Tozadore and Chenyang Wang and Giorgia Marchesi and Barbara Bruno and Pierre Dillenbourg},
  year = {2022},
  doi = {10.1109/RO-MAN53752.2022.9900661},
  url = {https://doi.org/10.1109/RO-MAN53752.2022.9900661},
  researchr = {https://researchr.org/publication/TozadoreWMBD22},
  cites = {0},
  citedby = {0},
  pages = {1467-1473},
  booktitle = {31st IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2022, Napoli, Italy, August 29 - Sept. 2, 2022},
  publisher = {IEEE},
  isbn = {978-1-7281-8859-1},
}