Search Results for author:
Found 4 papers, 0 papers with code
Natural Language Interactions in Autonomous Vehicles: Intent Detection and Slot Filling from Passenger Utterances
Understanding passenger intents and extracting relevant slots are important building blocks towards developing contextual dialogue systems for natural interactions in autonomous vehicles (AV).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Unobtrusive and Multimodal Approach for Behavioral Engagement Detection of Students
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-Performance, and Mouse.
Detecting Behavioral Engagement of Students in the Wild Based on Contextual and Visual Data
To investigate the detection of students' behavioral engagement (On-Task vs. Off-Task), we propose a two-phase approach in this study.
The Importance of Socio-Cultural Differences for Annotating and Detecting the Affective States of Students
One open question in annotating affective data for affect detection is whether the labelers (i. e., human experts) need to be socio-culturally similar to the students being labeled, as this impacts the cost feasibility of obtaining the labels.
