2 citations · 4 across the 5 of their papers we have counts for
6 papers
The Failure Is in the Readout: Fine-Grained Emotion Recognition Benchmarks Measure Elicitation, Not Perception
Tobias Hallmen, Fabian Deuser, Robin-Nico Kampa +2
Fine-grained emotion recognition supports therapy tools and social robots, but it needs facial data, which raises privacy and data-protection concerns. EmoNet-Face-HQ answers that…
AI-Based Feedback in Counselling Competence Training of Prospective Teachers
Tobias Hallmen, Kathrin Gietl, Karoline Hillesheim +3
This study explores the use of AI-based feedback to enhance the counselling competence of prospective teachers. An iterative block seminar was designed, incorporating theoretical f…
Semantic Matters: Multimodal Features for Affective Analysis
Tobias Hallmen, Robin-Nico Kampa, Fabian Deuser +2
In this study, we present our methodology for two tasks: the Emotional Mimicry Intensity (EMI) Estimation Challenge and the Behavioural Ambivalence/Hesitancy (BAH) Recognition Chal…
DISCOVER: A Data-driven Interactive System for Comprehensive Observation, Visualization, and ExploRation of Human Behaviour
Dominik Schiller, Tobias Hallmen, Daksitha Withanage Don +2
Understanding human behavior is a fundamental goal of social sciences, yet its analysis presents significant challenges. Conventional methodologies employed for the study of behavi…
Unimodal Multi-Task Fusion for Emotional Mimicry Intensity Prediction
Tobias Hallmen, Fabian Deuser, Norbert Oswald +1
In this research, we introduce a novel methodology for assessing Emotional Mimicry Intensity (EMI) as part of the 6th Workshop and Competition on Affective Behavior Analysis in-the…
An Efficient Multitask Learning Architecture for Affective Vocal Burst Analysis
Tobias Hallmen, Silvan Mertes, Dominik Schiller +1
Affective speech analysis is an ongoing topic of research. A relatively new problem in this field is the analysis of vocal bursts, which are nonverbal vocalisations such as laughs…