Which voice are you satisfied with? Understanding the physician–patient voice interactions on online health platforms

S Liu, G Si, B Gao - Decision Support Systems, 2022 - Elsevier
Patients are usually sensitive to physicians' attitude and behavior when physicians make
decisions in patients' consultations. However, the consequences of physicians' interactive …

Attention-based multi-modal sentiment analysis and emotion detection in conversation using RNN

MG Huddar, SS Sannakki, VS Rajpurohit - 2021 - reunir.unir.net
The availability of an enormous quantity of multimodal data and its widespread applications,
automatic sentiment analysis and emotion classification in the conversation has become an …

Pre-trained ensemble model for identification of emotion during COVID-19 based on emergency response support system dataset

K Nimmi, B Janet, AK Selvan, N Sivakumaran - Applied Soft Computing, 2022 - Elsevier
Abstract The COVID-19 precautions, lockdown, and quarantine implemented throughout the
epidemic resulted in a worldwide economic disaster. People are facing unprecedented …

Speech emotion recognition using convolution neural networks and multi-head convolutional transformer

R Ullah, M Asif, WA Shah, F Anjam, I Ullah… - Sensors, 2023 - mdpi.com
Speech emotion recognition (SER) is a challenging task in human–computer interaction
(HCI) systems. One of the key challenges in speech emotion recognition is to extract the …

Data subjects' conceptualizations of and attitudes toward automatic emotion recognition-enabled wellbeing interventions on social media

K Roemmich, N Andalibi - Proceedings of the ACM on Human-Computer …, 2021 - dl.acm.org
Automatic emotion recognition (ER)-enabled wellbeing interventions use ER algorithms to
infer the emotions of a data subject (ie, a person about whom data is collected or processed …

Emotion classification on eye-tracking and electroencephalograph fused signals employing deep gradient neural networks

Q Wu, N Dey, F Shi, RG Crespo, RS Sherratt - Applied Soft Computing, 2021 - Elsevier
Emotion produces complex neural processes and physiological changes under appropriate
event stimulation. Physiological signals have the advantage of better reflecting a person's …

Characteristics of vocal cues, facial action units, and emotions that distinguish high from low self-protection participants engaged in self-protective response to self …

V Vráblová, J Halamová - Frontiers in Psychology, 2025 - frontiersin.org
Introduction Self-protection, also called protective anger or assertive anger, is a key factor in
mental health. Thus, far, researchers have focused mainly on the qualitative analysis of self …

Acoustic analysis of clients' expression of self-compassion, self-criticism, and self-protection within emotion focused therapy video sessions

G Bailey, J Halamová, V Vráblová - Frontiers in Psychology, 2024 - frontiersin.org
Introduction When it comes to the non-verbal communication of emotions, it is apparent that
the human voice is one of the main ways of expressing emotion and is increasingly …

[HTML][HTML] Developing a Machine Learning–Based Automated Patient Engagement Estimator for Telehealth: Algorithm Development and Validation Study

P Guhan, N Awasthi, K McDonald… - JMIR Formative …, 2025 - formative.jmir.org
Background: Patient engagement is a critical but challenging public health priority in
behavioral health care. During telehealth sessions, health care providers need to rely …

The possibilities of classification of emotional states based on user behavioral characteristics

M Magdin, D Držík, J Reichel, S Koprda - IJIMAI, 2020 - dialnet.unirioja.es
The classification of user's emotions based on their behavioral characteristic, namely their
keyboard typing and mouse usage pattern is an effective and non-invasive way of gathering …