Nale Lehmann-Willenbrock

Orcid: 0000-0003-3346-5894

According to our database1, Nale Lehmann-Willenbrock authored at least 20 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Dynamics of Collective Group Affect: Group-Level Annotations and the Multimodal Modeling of Convergence and Divergence.
IEEE Trans. Affect. Comput., 2026

2025
When do we Trust and Why? How Intelligent Virtual Agents Affect Users in Immersive Virtual Worlds.
Proceedings of the 46th International Conference on Information Systems, 2025

Enhancing In-the-Wild Speech Emotion Conversion with Resynthesis-based Duration Modeling.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2025

2024
End-to-End Label Uncertainty Modeling in Speech Emotion Recognition Using Bayesian Neural Networks and Label Distribution Learning.
IEEE Trans. Affect. Comput., 2024

Modeling the Interplay Between Cohesion Dimensions: A Challenge for Group Affective Emergent States.
IEEE Trans. Affect. Comput., 2024

Enabling and constraining factors of remote informal communication: a socio-technical systems perspective.
J. Comput. Mediat. Commun., 2024

EMOCONV-Diff: Diffusion-Based Speech Emotion Conversion for Non-Parallel and in-the-Wild Data.
Proceedings of the IEEE International Conference on Acoustics, 2024

Empathy in Virtual Agents: How Emotional Expressions can Influence User Perception.
Proceedings of the 34th International Conference on Artificial Reality and Telexistence, 2024

2023
In-the-wild Speech Emotion Conversion Using Disentangled Self-Supervised Representations and Neural Vocoder-based Resynthesis.
CoRR, 2023

2022
End-To-End Label Uncertainty Modeling for Speech-based Arousal Recognition Using Bayesian Neural Networks.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

What Should AI Know? Information Disclosure in Human-AI Collaboration.
Proceedings of the 30th European Conference on Information Systems, 2022

Label Uncertainty Modeling and Prediction for Speech Emotion Recognition using t-Distributions.
Proceedings of the 10th International Conference on Affective Computing and Intelligent Interaction, 2022

2021
End-to-end label uncertainty modeling for speech emotion recognition using Bayesian neural networks.
CoRR, 2021

Effects of Avatar Appearance and Locomotion on Co-Presence in Virtual Reality Collaborations.
Proceedings of the MuC '21: Mensch und Computer 2021, 2021

2020
GAME-ON: A Multimodal Dataset for Cohesion and Group Analysis.
IEEE Access, 2020

A First Pilot Study to Compare Virtual Group Meetings using Video Conferences and (Immersive) Virtual Reality.
Proceedings of the SUI '20: Symposium on Spatial User Interaction, Virtual Event, Canada, October 31, 2020

Workshop on Interdisciplinary Insights into Group and Team Dynamics.
Proceedings of the ICMI '20: International Conference on Multimodal Interaction, 2020

2019
How unitizing affects annotation of cohesion.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019

2018
Group Interaction Frontiers in Technology.
Proceedings of the 2018 on International Conference on Multimodal Interaction, 2018

2017
Estimating verbal expressions of task and social cohesion in meetings by quantifying paralinguistic mimicry.
Proceedings of the 19th ACM International Conference on Multimodal Interaction, 2017


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