Detecting Student Emotions in Computer-Enabled Classrooms

Bosch, Nigel; D&apos;Mello, Sidney K.; Baker, Ryan S.; Ocumpaugh, Jaclyn; Shute, Valerie; Ventura, Matthew; Wang, Lubin; Zhao, Weinan

Detecting Student Emotions in Computer-Enabled Classrooms

Nigel Bosch, Sidney K. D'Mello, Ryan S. Baker, Jaclyn Ocumpaugh, Valerie Shute, Matthew Ventura, Lubin Wang, Weinan Zhao

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Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 4125-4128.

Abstract

Affect detection is a key component of intelligent educational interfaces that can respond to the affective states of students. We use computer vision, learning analytics, and machine learning to detect students' affect in the real-world environment of a school computer lab that contained as many as thirty students at a time. Students moved around, gestured, and talked to each other, making the task quite difficult. Despite these challenges, we were moderately successful at detecting boredom, confusion, delight, frustration, and engaged concentration in a manner that generalized across students, time, and demographics. Our model was applicable 98% of the time despite operating on noisy real-world data.

Nigel Bosch, Sidney K. D'Mello, Ryan S. Baker, Jaclyn Ocumpaugh, Valerie Shute, Matthew Ventura, Lubin Wang, and Weinan Zhao. 2016. Detecting Student Emotions in Computer-Enabled Classrooms. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16. IJCAI, 4125–4128. https://ijcai.org/proceedings/2016/615

@inproceedings{ijcai2016p615,
  title     = {Detecting Student Emotions in Computer-Enabled Classrooms},
  author    = {Bosch, Nigel and D&apos;Mello, Sidney K. and Baker, Ryan S. and Ocumpaugh, Jaclyn and Shute, Valerie and Ventura, Matthew and Wang, Lubin and Zhao, Weinan},
  booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
               Artificial Intelligence, {IJCAI-16}},
  publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
  editor    = {Subbarao Kambhampati},
  pages     = {4125--4128},
  year      = {2016},
  month     = {7},
  url       = {https://ijcai.org/proceedings/2016/615},
}

TY  - CPAPER
TI  - Detecting Student Emotions in Computer-Enabled Classrooms
AU  - Bosch, Nigel
AU  - D&apos;Mello, Sidney K.
AU  - Baker, Ryan S.
AU  - Ocumpaugh, Jaclyn
AU  - Shute, Valerie
AU  - Ventura, Matthew
AU  - Wang, Lubin
AU  - Zhao, Weinan
T2  - Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16
PB  - AAAI Press / International Joint Conferences on Artificial Intelligence
PY  - 2016
SP  - 4125
EP  - 4128
UR  - https://ijcai.org/proceedings/2016/615
ER  -