2 citations · 2 across the 4 of their papers we have counts for
5 papers
Natural Language Interactions in Autonomous Vehicles: Intent Detection and Slot Filling from Passenger Utterances
Eda Okur, Shachi H Kumar, Saurav Sahay +2
Understanding passenger intents and extracting relevant slots are important building blocks towards developing contextual dialogue systems for natural interactions in autonomous ve…
Unobtrusive and Multimodal Approach for Behavioral Engagement Detection of Students
Nese Alyuz, Eda Okur, Utku Genc +3
We propose a multimodal approach for detection of students' behavioral engagement states (i.e., On-Task vs. Off-Task), based on three unobtrusive modalities: Appearance, Context-Pe…
Detecting Behavioral Engagement of Students in the Wild Based on Contextual and Visual Data
Eda Okur, Nese Alyuz, Sinem Aslan +3
To investigate the detection of students' behavioral engagement (On-Task vs. Off-Task), we propose a two-phase approach in this study. In Phase 1, contextual logs (URLs) are utiliz…
The Importance of Socio-Cultural Differences for Annotating and Detecting the Affective States of Students
Eda Okur, Sinem Aslan, Nese Alyuz +2
The development of real-time affect detection models often depends upon obtaining annotated data for supervised learning by employing human experts to label the student data. One o…
Conversational Intent Understanding for Passengers in Autonomous Vehicles
Eda Okur, Shachi H Kumar, Saurav Sahay +2
Understanding passenger intents and extracting relevant slots are important building blocks towards developing a contextual dialogue system responsible for handling certain vehicle…