BERT meets LIWC: Exploring state-of-the-art language models for predicting communication behavior in couples' conflict interactions
Many processes in psychology are complex, such as dyadic interactions between two
interacting partners (eg, patient-therapist, intimate relationship partners). Nevertheless …
interacting partners (eg, patient-therapist, intimate relationship partners). Nevertheless …
Multimodal embeddings from language models for emotion recognition in the wild
SY Tseng, S Narayanan… - IEEE Signal Processing …, 2021 - ieeexplore.ieee.org
Word embeddings such as ELMo and BERT have been shown to model word usage in
language with greater efficacy through contextualized learning on large-scale language …
language with greater efficacy through contextualized learning on large-scale language …
Towards real-time multimodal emotion recognition among couples
G Boateng - Proceedings of the 2020 International Conference on …, 2020 - dl.acm.org
Researchers are interested in understanding the emotions of couples as it relates to
relationship quality and dyadic management of chronic diseases. Currently, the process of …
relationship quality and dyadic management of chronic diseases. Currently, the process of …
Predicting behavior in cancer-afflicted patient and spouse interactions using speech and language
Cancer impacts the quality of life of those diagnosed as well as their spouse caregivers, in
addition to potentially influencing their day-to-day behaviors. There is evidence that effective …
addition to potentially influencing their day-to-day behaviors. There is evidence that effective …
“You made me feel this way”: Investigating Partners' Influence in Predicting Emotions in Couples' Conflict Interactions using Speech Data
How romantic partners interact with each other during a conflict influences how they feel at
the end of the interaction and is predictive of whether the partners stay together in the long …
the end of the interaction and is predictive of whether the partners stay together in the long …
An analysis of observation length requirements for machine understanding of human behaviors from spoken language
The task of quantifying human behavior by observing interaction cues is an important and
useful one across a range of domains in psychological research and practice. Machine …
useful one across a range of domains in psychological research and practice. Machine …
Multimodal embeddings from language models
Word embeddings such as ELMo have recently been shown to model word semantics with
greater efficacy through contextualized learning on large-scale language corpora, resulting …
greater efficacy through contextualized learning on large-scale language corpora, resulting …
" Are you okay, honey?": Recognizing Emotions among Couples Managing Diabetes in Daily Life using Multimodal Real-World Smartwatch Data
Couples generally manage chronic diseases together and the management takes an
emotional toll on both patients and their romantic partners. Consequently, recognizing the …
emotional toll on both patients and their romantic partners. Consequently, recognizing the …
Real‐Time Human‐Music Emotional Interaction Based on Deep Learning and Multimodal Sentiment Analysis
T Jiang, S Deng, P Wu, H Jiang - … Communications and Mobile …, 2023 - Wiley Online Library
Music, as an integral component of culture, holds a prominent position and is widely
accessible. There has been growing interest in studying sentiment represented by music …
accessible. There has been growing interest in studying sentiment represented by music …
Real-time Human-Music Emotional Interaction Based on Multimodal Analysis
T Jiang, S Deng, P Wu, H Jiang - … International Conference on …, 2022 - ieeexplore.ieee.org
Music, as an important part of the culture, occupies a significant position and can be easily
accessed. The research on the sentiment represented by music and its effect on the …
accessed. The research on the sentiment represented by music and its effect on the …