7 citations · 9 across the 6 of their papers we have counts for
6 papers
Augmenting Interviewer Judgments of Patient Experience with Automatic Language Analysis
Aowen Shi, Michal Balazia, Danilo Postin +4
Understanding how psychiatric patients subjectively experienced a clinical conversation is important for feedback and alliance-related process monitoring. While interviewers form p…
Not all Blends are Equal: The BLEMORE Dataset of Blended Emotion Expressions with Relative Salience Annotations
Tim Lachmann, Alexandra Israelsson, Christina Tornberg +4
Humans often experience not just a single basic emotion at a time, but rather a blend of several emotions with varying salience. Despite the importance of such blended emotions, mo…
Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG
Alexander Selivanov, Philip Müller, Özgün Turgut +2
An electrocardiogram (ECG) is a widely used, cost-effective tool for detecting electrical abnormalities in the heart. However, it cannot directly measure functional parameters, suc…
Evaluation in EEG Emotion Recognition: State-of-the-Art Review and Unified Framework
Natia Kukhilava, Tatia Tsmindashvili, Rapael Kalandadze +6
Electroencephalography-based Emotion Recognition (EEG-ER) has become a growing research area in recent years. Analyzing 216 papers published between 2018 and 2023, we uncover that…
MultiMediate'24: Multi-Domain Engagement Estimation
Philipp Müller, Michal Balazia, Tobias Baur +8
Estimating the momentary level of participant's engagement is an important prerequisite for assistive systems that support human interactions. Previous work has addressed this task…
M3TCM: Multi-modal Multi-task Context Model for Utterance Classification in Motivational Interviews
Sayed Muddashir Hossain, Jan Alexandersson, Philipp Müller
Accurate utterance classification in motivational interviews is crucial to automatically understand the quality and dynamics of client-therapist interaction, and it can serve as a…