5 citations · 13 across the 7 of their papers we have counts for
7 papers
Towards Understanding Confusion and Affective States Under Communication Failures in Voice-Based Human-Machine Interaction
Sujeong Kim, Abhinav Garlapati, Jonah Lubin +2
We present a series of two studies conducted to understand user's affective states during voice-based human-machine interactions. Emphasis is placed on the cases of communication e…
"How to best say it?" : Translating Directives in Machine Language into Natural Language in the Blocks World
Sujeong Kim, Amir Tamrakar
We propose a method to generate optimal natural language for block placement directives generated by a machine's planner during human-agent interactions in the blocks world. A non…
Towards Explainable Student Group Collaboration Assessment Models Using Temporal Representations of Individual Student Roles
Anirudh Som, Sujeong Kim, Bladimir Lopez-Prado +3
Collaboration is identified as a required and necessary skill for students to be successful in the fields of Science, Technology, Engineering and Mathematics (STEM). However, due t…
ACE-Net: Fine-Level Face Alignment through Anchors and Contours Estimation
Jihua Huang, Amir Tamrakar
We propose a novel facial Anchors and Contours Estimation framework, ACE-Net, for fine-level face alignment tasks. ACE-Net predicts facial anchors and contours that are richer than…
A Machine Learning Approach to Assess Student Group Collaboration Using Individual Level Behavioral Cues
Anirudh Som, Sujeong Kim, Bladimir Lopez-Prado +3
K-12 classrooms consistently integrate collaboration as part of their learning experiences. However, owing to large classroom sizes, teachers do not have the time to properly asses…
Action-Affect Classification and Morphing using Multi-Task Representation Learning
Timothy J. Shields, Mohamed R. Amer, Max Ehrlich +1
Most recent work focused on affect from facial expressions, and not as much on body. This work focuses on body affect analysis. Affect does not occur in isolation. Humans usually c…
Human Social Interaction Modeling Using Temporal Deep Networks
Mohamed R. Amer, Behjat Siddiquie, Amir Tamrakar +4
We present a novel approach to computational modeling of social interactions based on modeling of essential social interaction predicates (ESIPs) such as joint attention and entrai…