4D Affect Detection: Improving Frustration Detection in Game-Based Learning with Posture-Based Temporal Data Fusion

Nathan L. Henderson, Jonathan P. Rowe, Bradford W. Mott, Keith Brawner, Ryan S. Baker, James C. Lester. 4D Affect Detection: Improving Frustration Detection in Game-Based Learning with Posture-Based Temporal Data Fusion. In Seiji Isotani, Eva Millán, Amy Ogan, Peter M. Hastings, Bruce M. McLaren, Rose Luckin, editors, Artificial Intelligence in Education - 20th International Conference, AIED 2019, Chicago, IL, USA, June 25-29, 2019, Proceedings, Part I. Volume 11625 of Lecture Notes in Computer Science, pages 144-156, Springer, 2019. [doi]

@inproceedings{HendersonRMBBL19,
  title = {4D Affect Detection: Improving Frustration Detection in Game-Based Learning with Posture-Based Temporal Data Fusion},
  author = {Nathan L. Henderson and Jonathan P. Rowe and Bradford W. Mott and Keith Brawner and Ryan S. Baker and James C. Lester},
  year = {2019},
  doi = {10.1007/978-3-030-23204-7_13},
  url = {https://doi.org/10.1007/978-3-030-23204-7_13},
  researchr = {https://researchr.org/publication/HendersonRMBBL19},
  cites = {0},
  citedby = {0},
  pages = {144-156},
  booktitle = {Artificial Intelligence in Education - 20th International Conference, AIED 2019, Chicago, IL, USA, June 25-29, 2019, Proceedings, Part I},
  editor = {Seiji Isotani and Eva Millán and Amy Ogan and Peter M. Hastings and Bruce M. McLaren and Rose Luckin},
  volume = {11625},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-23204-7},
}