1 citations · 1 across the 3 of their papers we have counts for
6 papers
Whose Face Is It Anyway? A Multi-Model Audit of Facial Affect Recognition on Children, and Why the Gap Is the Head, Not the Features
Tobias Hallmen, Robin-Nico Kampa, Elisabeth André
Facial affect models are trained almost entirely on adults, yet are increasingly applied to children in education, health, and developmental research. We present a controlled, mult…
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…
Language Carries the Expert's Impression: Instrument-Anchored LLM Judges Transfer Counseling-Quality Assessment and Beat In-Domain Training
Tobias Hallmen, Elisabeth André
Automatic assessment of communication quality in dyadic counseling conversations is bottlenecked by data: expert-rated corpora are small and expensive to grow. We study cross-domai…
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…
CarMem: Enhancing Long-Term Memory in LLM Voice Assistants through Category-Bounding
Johannes Kirmayr, Lukas Stappen, Phillip Schneider +2
In today's assistant landscape, personalisation enhances interactions, fosters long-term relationships, and deepens engagement. However, many systems struggle with retaining user p…