Asli Arslan Esme
According to our database1,
Asli Arslan Esme
authored at least 17 papers
between 2014 and 2021.
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Bibliography
2021
Annotating Student Engagement Across Grades 1-12: Associations with Demographics and Expressivity.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021
2019
Detecting Behavioral Engagement of Students in the Wild Based on Contextual and Visual Data.
CoRR, 2019
CoRR, 2019
CoRR, 2019
The Importance of Socio-Cultural Differences for Annotating and Detecting the Affective States of Students.
CoRR, 2019
Natural Language Interactions in Autonomous Vehicles: Intent Detection and Slot Filling from Passenger Utterances.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2019
Investigating the Impact of a Real-time, Multimodal Student Engagement Analytics Technology in Authentic Classrooms.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019
2018
Human Expert Labeling Process: Valence-Arousal Labeling for Students' Affective States.
Proceedings of the Methodologies and Intelligent Systems for Technology Enhanced Learning, 2018
Towards Human Affect Modeling: A Comparative Analysis of Discrete Affect and Valence-Arousal Labeling.
Proceedings of the HCI International 2018 - Posters' Extended Abstracts, 2018
Towards Understanding Emotional Reactions of Driver-Passenger Dyads in Automated Driving.
Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018
2017
Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017
An unobtrusive and multimodal approach for behavioral engagement detection of students.
Proceedings of the 1st ACM SIGCHI International Workshop on Multimodal Interaction for Education, 2017
Proceedings of the Artificial Intelligence in Education - 18th International Conference, 2017
2016
Towards an Emotional Engagement Model: Can Affective States of a Learner be Automatically Detected in a 1: 1 Learning Scenario?
Proceedings of the Late-breaking Results, 2016
Semi-supervised model personalization for improved detection of learner's emotional engagement.
Proceedings of the 18th ACM International Conference on Multimodal Interaction, 2016
2014
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014