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 errors or failures.
Human behavior modeling publications
Towards Explainable Student Group Collaboration Assessment Models Using Temporal Representations of Individual Student Role and Behavioral Cues
In this paper we propose using simple temporal-CNN deep-learning models to assess student group collaboration that take in temporal representations of individual student roles as input.
Human Motion Modeling using DVGANs
We present a novel generative model for human motion modeling using Generative Adversarial Networks (GANs).
Respiratory and Auditory Cortical Processing in Children with Obstructive Sleep Apnea Syndrome
We hypothesized that, during sleep, children with OSAS have abnormal RREP, normal cortical processing of nonrespiratory stimuli, and persistence of abnormal RREP after treatment.
A Hierarchical Behavior Analysis Approach for Automated Trainee Performance Evaluation in Training Ranges
In this paper we present a closed loop mixed reality training system that provides automatic assessment of trainee performance during kinetic military exercises.
Affect Analysis in Natural Human Interaction Using Joint Hidden Conditional Random Fields
We present a novel approach for multi-modal affect analysis in human interactions that is capable of integrating data from multiple modalities while also taking into account temporal dynamics.
Affect Analysis in Natural Human Interaction Using Joint Hidden Conditional Random Fields
We present a novel approach for multi-modal affect analysis in human interactions that is capable of integrating data from multiple modalities while also taking into account temporal dynamics.
Remediation of Facial Emotion Recognition in Schizophrenia: Functional Predictors, Generalisability, and Concomitant Visual Scanning of Novel Face Stimuli
This study investigated whether (a) improved recognition generalizes to novel faces, (b) training effects are durable over 1 month, and (c) baseline functioning levels predict the extent of improvement.
Multicamera Tracking of Articulated Human Motion Using Shape and Motion Cues
We present a completely automatic algorithm for initializing and tracking the articulated motion of humans using image sequences obtained from multiple cameras.