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04/19/2023
Multipar-T: Multiparty-Transformer for Capturing Contingent Behaviors in Group Conversations
As we move closer to real-world AI systems, AI agents must be able to de...
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01/24/2023
Mixed Effects Random Forests for Personalised Predictions of Clinical Depression Severity
This work demonstrates how mixed effects random forests enable accurate ...
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08/15/2022
Computational Empathy Counteracts the Negative Effects of Anger on Creative Problem Solving
How does empathy influence creative problem solving? We introduce a comp...
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02/25/2022
Human Detection of Political Deepfakes across Transcripts, Audio, and Video
Recent advances in technology for hyper-realistic visual effects provoke...
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09/27/2021
Predicting Driver Self-Reported Stress by Analyzing the Road Scene
Several studies have shown the relevance of biosignals in driver stress ...
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05/13/2021
Comparing Human and Machine Deepfake Detection with Affective and Holistic Processing
The recent emergence of deepfake videos leads to an important societal q...
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10/12/2020
Human-centric Dialog Training via Offline Reinforcement Learning
How can we train a dialog model to produce better conversations by learn...
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09/08/2020
A Robotic Positive Psychology Coach to Improve College Students' Wellbeing
A significant number of college students suffer from mental health issue...
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08/20/2020
Dyadic Speech-based Affect Recognition using DAMI-P2C Parent-child Multimodal Interaction Dataset
Automatic speech-based affect recognition of individuals in dyadic conve...
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09/17/2019
Hierarchical Reinforcement Learning for Open-Domain Dialog
Open-domain dialog generation is a challenging problem; maximum likeliho...
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07/30/2019
Pain Detection with fNIRS-Measured Brain Signals: A Personalized Machine Learning Approach Using the Wavelet Transform and Bayesian Hierarchical Modeling with Dirichlet Process
Currently self-report pain ratings are the gold standard in clinical pai...
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07/19/2019
Detection of Real-world Driving-induced Affective State Using Physiological Signals and Multi-view Multi-task Machine Learning
Affective states have a critical role in driving performance and safety....
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06/30/2019
Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog
Most deep reinforcement learning (RL) systems are not able to learn effe...
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06/21/2019
Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems
Building an open-domain conversational agent is a challenging problem. C...
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04/25/2019
Deep Reinforcement Learning for Optimal Critical Care Pain Management with Morphine using Dueling Double-Deep Q Networks
Opioids are the preferred medications for the treatment of pain in the i...
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08/21/2018
Multi-task multiple kernel machines for personalized pain recognition from functional near-infrared spectroscopy brain signals
Currently there is no validated objective measure of pain. Recent neuroi...
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02/13/2018
Learning via social awareness: improving sketch representations with facial feedback
In the quest towards general artificial intelligence (AI), researchers h...
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02/04/2018
Personalized Machine Learning for Robot Perception of Affect and Engagement in Autism Therapy
Robots have great potential to facilitate future therapies for children ...
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01/08/2018
A Trip to the Moon: Personalized Animated Movies for Self-reflection
Self-tracking physiological and psychological data poses the challenge o...
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11/10/2017
Physiological and behavioral profiling for nociceptive pain estimation using personalized multitask learning
Pain is a subjective experience commonly measured through patient's self...
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08/09/2017
DeepFaceLIFT: Interpretable Personalized Models for Automatic Estimation of Self-Reported Pain
Previous research on automatic pain estimation from facial expressions h...
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06/22/2017