Estimating verbal expressions of task and social cohesion in meetings by quantifying paralinguistic mimicry. - Marjolein C. Nanninga; Yanxia Zhang; Nale Lehmann-Willenbrock; Zoltán Szlávik; Hayley Hung (ICMI, 2017)

Group Interaction Frontiers in Technology. - Gabriel Murray; Hayley Hung; Joann Keyton; Catherine Lai; Nale Lehmann-Willenbrock; Catharine Oertel (ICMI, 2018)

How unitizing affects annotation of cohesion. - Eleonora Ceccaldi; Nale Lehmann-Willenbrock; Erica Volta; Mohamed Chetouani; Gualtiero Volpe; Giovanna Varni (ACII, 2019)

Workshop on Interdisciplinary Insights into Group and Team Dynamics. - Hayley Hung; Gabriel Murray; Giovanna Varni; Nale Lehmann-Willenbrock; Fabiola H. Gerpott; Catharine Oertel (ICMI, 2020)

A First Pilot Study to Compare Virtual Group Meetings using Video Conferences and (Immersive) Virtual Reality. - Frank Steinicke; Nale Lehmann-Willenbrock; Annika Luisa Meinecke (SUI, 2020)

GAME-ON: A Multimodal Dataset for Cohesion and Group Analysis. - Lucien Maman; Eleonora Ceccaldi; Nale Lehmann-Willenbrock; Laurence Likforman-Sulem; Mohamed Chetouani; Gualtiero Volpe; Giovanna Varni (IEEE Access, 2020)

Effects of Avatar Appearance and Locomotion on Co-Presence in Virtual Reality Collaborations. - Jann Philipp Freiwald; Julius Schenke; Nale Lehmann-Willenbrock; Frank Steinicke (MuC, 2021)

End-to-end label uncertainty modeling for speech emotion recognition using Bayesian neural networks. - Navin Raj Prabhu; Guillaume Carbajal; Nale Lehmann-Willenbrock; Timo Gerkmann (CoRR, 2021)

Label Uncertainty Modeling and Prediction for Speech Emotion Recognition using t-Distributions. - Navin Raj Prabhu; Nale Lehmann-Willenbrock; Timo Gerkmann (ACII, 2022)

What Should AI Know? Information Disclosure in Human-AI Collaboration. - Izabel Cvetkovic; Sarah Oeste-Reiß; Nale Lehmann-Willenbrock; Eva A. C. Bittner (ECIS, 2022)

End-To-End Label Uncertainty Modeling for Speech-based Arousal Recognition Using Bayesian Neural Networks. - Navin Raj Prabhu; Guillaume Carbajal; Nale Lehmann-Willenbrock; Timo Gerkmann (INTERSPEECH, 2022)

In-the-wild Speech Emotion Conversion Using Disentangled Self-Supervised Representations and Neural Vocoder-based Resynthesis. - Navin Raj Prabhu; Nale Lehmann-Willenbrock; Timo Gerkmann (CoRR, 2023)

Empathy in Virtual Agents: How Emotional Expressions can Influence User Perception. - Sebastian Rings; Susanne Schmidt 001; Julia Janßen; Nale Lehmann-Willenbrock; Frank Steinicke (ICAT-EGVE, 2024)

EMOCONV-Diff: Diffusion-Based Speech Emotion Conversion for Non-Parallel and in-the-Wild Data. - Navin Raj Prabhu; Bunlong Lay; Simon Welker; Nale Lehmann-Willenbrock; Timo Gerkmann (ICASSP, 2024)

Dynamics of Collective Group Affect: Group-level Annotations and the Multimodal Modeling of Convergence and Divergence. - Navin Raj Prabhu; Maria Tsfasman; Catharine Oertel; Timo Gerkmann; Nale Lehmann-Willenbrock (CoRR, 2024)

Enabling and constraining factors of remote informal communication: a socio-technical systems perspective. - Vanessa Begemann; Lisa Handke; Nale Lehmann-Willenbrock (J. Comput. Mediat. Commun., 2024)

Modeling the Interplay Between Cohesion Dimensions: A Challenge for Group Affective Emergent States. - Lucien Maman; Nale Lehmann-Willenbrock; Mohamed Chetouani; Laurence Likforman-Sulem; Giovanna Varni (IEEE Trans. Affect. Comput., 2024)

End-to-End Label Uncertainty Modeling in Speech Emotion Recognition Using Bayesian Neural Networks and Label Distribution Learning. - Navin Raj Prabhu; Nale Lehmann-Willenbrock; Timo Gerkmann (IEEE Trans. Affect. Comput., 2024)