Multimodal and multiresolution depression detection from speech and facial landmark features
Automatic classification of depression using audiovisual cues can help towards its objective
diagnosis. In this paper, we present a multimodal depression classification system as a part …
diagnosis. In this paper, we present a multimodal depression classification system as a part …
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 …
[HTML][HTML] Automatic detection of attachment style in married couples through conversation analysis
TM Koçak, BÇ Dibek, EN Polat, N Kafesçioğlu… - EURASIP Journal on …, 2023 - Springer
Abstract Analysis of couple interactions using speech processing techniques is an
increasingly active multi-disciplinary field that poses challenges such as automatic …
increasingly active multi-disciplinary field that poses challenges such as automatic …
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 …
Leveraging open data and task augmentation to automated behavioral coding of psychotherapy conversations in low-resource scenarios
In psychotherapy interactions, the quality of a session is assessed by codifying the
communicative behaviors of participants during the conversation through manual …
communicative behaviors of participants during the conversation through manual …
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 …
[PDF][PDF] Approaching Human Performance in Behavior Estimation in Couples Therapy Using Deep Sentence Embeddings.
Identifying complex behavior in human interactions for observational studies often involves
the tedious process of transcribing and annotating large amounts of data. While there is …
the tedious process of transcribing and annotating large amounts of data. While there is …
Unsupervised latent behavior manifold learning from acoustic features: Audio2behavior
Behavioral annotation using signal processing and machine learning is highly dependent
on training data and manual annotations of behavioral labels. Previous studies have shown …
on training data and manual annotations of behavioral labels. Previous studies have shown …
[HTML][HTML] Linking emotions to behaviors through deep transfer learning
Human behavior refers to the way humans act and interact. Understanding human behavior
is a cornerstone of observational practice, especially in psychotherapy. An important cue of …
is a cornerstone of observational practice, especially in psychotherapy. An important cue of …
[HTML][HTML] The promise and the challenge of technology-facilitated methods for assessing behavioral and cognitive markers of risk for suicide among US Army National …
Suicide was the 10th leading cause of death for Americans in 2015 and rates have been
steadily climbing over the last 25 years. Rates are particularly high amongst US military …
steadily climbing over the last 25 years. Rates are particularly high amongst US military …