TAME: A Method of Teachable Agent Modeling for Error-Visualization

Kento Koike, Izumi Himura, Takahito Tomoto. TAME: A Method of Teachable Agent Modeling for Error-Visualization. In Sakae Yamamoto, Hirohiko Mori, editors, Human Interface and the Management of Information: Visual and Information Design - Thematic Area, HIMI 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Virtual Event, June 26 - July 1, 2022, Proceedings, Part I. Volume 13305 of Lecture Notes in Computer Science, pages 461-474, Springer, 2022. [doi]

@inproceedings{KoikeHT22,
  title = {TAME: A Method of Teachable Agent Modeling for Error-Visualization},
  author = {Kento Koike and Izumi Himura and Takahito Tomoto},
  year = {2022},
  doi = {10.1007/978-3-031-06424-1_34},
  url = {https://doi.org/10.1007/978-3-031-06424-1_34},
  researchr = {https://researchr.org/publication/KoikeHT22},
  cites = {0},
  citedby = {0},
  pages = {461-474},
  booktitle = {Human Interface and the Management of Information: Visual and Information Design - Thematic Area, HIMI 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Virtual Event, June 26 - July 1, 2022, Proceedings, Part I},
  editor = {Sakae Yamamoto and Hirohiko Mori},
  volume = {13305},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-06424-1},
}