Ronald Böck

ORCID

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 23

Top Venues

SMC

ICMI

ERM4CT@ICMI

Multimodal Technol. Interact.

Otto von Guericke University Magdeburg (PHD)

Education History

Otto von Guericke University Magdeburg

PHD

Publications

Ronald Böck
Group Leader vs. Remaining Group - Whose Data Should Be Used for Prediction of Team Performance? Multimodal Technol. Interact. 7 (9) (2023)
Norman Weißkirchen, Ronald Böck
Behaviour of True Artificial Peers. Multimodal Technol. Interact. 6 (8) (2022)
Ronald Böck, Joseph A. Allen
Editorial: Group analysis and multi-agent interaction - Bridging the gap between social investigations and computational analysis. Frontiers Comput. Sci. 4 (2022)
Jannes Bützer, Ronald Böck
Comparison of Head and Body Movement Patterns in Naturalistic Human-Machine Interaction. ACII (Workshops and Demos) (2021)
Oliver Niebuhr, Ronald Böck, Joseph A. Allen
On the Sound of Successful Meetings: How Speech Prosody Predicts Meeting Performance. ICMI Companion (2021)
Ronald Böck
Affects in Groups: A review on automated affect processing and estimation in groups. IEEE Signal Process. Mag. 38 (6) (2021)
Norman Weißkirchen, Ronald Böck, Andreas Wendemuth
Towards True Artificial Peers. ICHMS (2020)
Tilman Krokotsch, Ronald Böck
Generative Adversarial Networks and Simulated+Unsupervised Learning in Affect Recognition from Speech. ACII (2019)
Ronald Böck, Britta Wrede
Modelling Contexts for Interactions in Dynamic Open-World Scenarios. SMC (2019)
Ronald Böck, Francesca Bonin, Nick Campbell, Ronald Poppe
International Workshop on Multimodal Analyses Enabling Artificial Agents in Human-Machine Interaction (Workshop Summary). ICMI (2018)
Ronald Böck
Recognition of Human Movement Patterns during a Human-Agent Interaction. MA3HMI@ICMI (2018)
Norman Weißkirchen, Ronald Böck, Andreas Wendemuth, Andreas Nürnberger
Significance of Feature Differences in the Distinction of Mental-Load. SMC (2018)
Ingo Siegert, Ronald Böck, Andreas Wendemuth
Using a PCA-based dataset similarity measure to improve cross-corpus emotion recognition. Comput. Speech Lang. 51 (2018)
Andreas Wendemuth, Ronald Böck, Andreas Nürnberger, Ayoub Al-Hamadi, André Brechmann, Frank W. Ohl
Intention-Based Anticipatory Interactive Systems. SMC (2018)
Stefan Glüge, Ronald Böck, Thomas Ott
Emotion Recognition from Speech using Representation Learning in Extreme Learning Machines. IJCCI (2017)
Norman Weißkirchen, Ronald Böck, Andreas Wendemuth
Recognition of emotional speech with convolutional neural networks by means of spectral estimates. ACII Workshops (2017)
Ronald Böck, Olga Egorow, Ingo Siegert, Andreas Wendemuth
Comparative Study on Normalisation in Emotion Recognition from Speech. IHCI (2017)
Olga Egorow, Alicia Flores Lotz, Ingo Siegert, Ronald Böck, Julia Krüger, Andreas Wendemuth
Accelerating manual annotation of filled pauses by automatic pre-selection. ICCT (2017)
Ronald Böck, Francesca Bonin, Nick Campbell, Ronald Poppe
International workshop on multimodal analyses enabling artificial agents in human- machine interaction (workshop summary). ICMI (2016)
Ingo Siegert, Ronald Böck, Andreas Wendemuth, Bogdan Vlasenko
Exploring dataset similarities using PCA-based feature selection. ACII (2015)
Ronald Böck, Ingo Siegert
Recognising Emotional Evolution from Speech. ERM4CT@ICMI (2015)
Kim Hartmann, Ingo Siegert, Björn W. Schuller, Louis-Philippe Morency, Albert Ali Salah, Ronald Böck
ERM4CT 2015: Workshop on Emotion Representations and Modelling for Companion Systems. ERM4CT@ICMI (2015)
Ingo Siegert, Ronald Böck, Andreas Wendemuth, Bogdan Vlasenko, Kerstin Ohnemus
Overlapping speech, utterance duration and affective content in HHI and HCI - An comparison. CogInfoCom (2015)
Ronald Böck, Kirsten Bergmann, Petra Jaecks
Disposition Recognition from Spontaneous Speech Towards a Combination with Co-speech Gestures. MA3HMI@INTERSPEECH (2014)
Ronald Poppe, Ronald Böck, Francesca Bonin, Nick Campbell, Iwan de Kok, David R. Traum
From multimodal analysis to real-time interactions with virtual agents. J. Multimodal User Interfaces 8 (1) (2014)
Ingo Siegert, Ronald Böck, Andreas Wendemuth
Inter-rater reliability for emotion annotation in human-computer interaction: comparison and methodological improvements. J. Multimodal User Interfaces 8 (1) (2014)
Bogdan Vlasenko, Dmytro Prylipko, Ronald Böck, Andreas Wendemuth
Modeling phonetic pattern variability in favor of the creation of robust emotion classifiers for real-life applications. Comput. Speech Lang. 28 (2) (2014)
Ingo Siegert, David Philippou-Hübner, Kim Hartmann, Ronald Böck, Andreas Wendemuth
Investigation of Speaker Group-Dependent Modelling for Recognition of Affective States from Speech. Cogn. Comput. 6 (4) (2014)
Stefan Glüge, Ronald Böck, Günther Palm, Andreas Wendemuth
Learning long-term dependencies in segmented-memory recurrent neural networks with backpropagation of error. Neurocomputing 141 (2014)
Kim Hartmann, Björn W. Schuller, Ronald Böck
ERM4HCI 2014: The 2nd Workshop on Emotion Representation and Modelling in Human-Computer-Interaction-Systems. ICMI (2014)
Ronald Böck, Stefan Glüge, Ingo Siegert, Andreas Wendemuth
Annotation and Classification of Changes of Involvement in Group Conversation. ACII (2013)
Kim Hartmann, Ronald Böck, Christian Becker-Asano, Jonathan Gratch, Björn W. Schuller, Klaus R. Scherer
ERM4HCI 2013: the 1st workshop on emotion representation and modelling in human-computer-interaction-systems. ICMI (2013)
Ronald Böck, Kerstin Limbrecht-Ecklundt, Ingo Siegert, Steffen Walter, Andreas Wendemuth
Audio-Based Pre-classification for Semi-automatic Facial Expression Coding. HCI (5) (2013)
Stefan Glüge, Ronald Böck, Andreas Wendemuth
Auto-encoder pre-training of segmented-memory recurrent neural networks. ESANN (2013)
Ingo Siegert, Dmytro Prylipko, Kim Hartmann, Ronald Böck, Andreas Wendemuth
Investigating the Form-Function-Relation of the Discourse Particle "hm" in a Naturalistic Human-Computer Interaction. WIRN (2013)
Ronald Böck, Stefan Glüge, Andreas Wendemuth
Dempster-Shafer Theory with Smoothness. IUKM (2013)
Ingo Siegert, Ronald Böck, Andreas Wendemuth
The Influence of Context Knowledge for Multi-modal Affective Annotation. HCI (5) (2013)
Ronald Böck, Stefan Glüge, Andreas Wendemuth, Kerstin Limbrecht, Steffen Walter, David Hrabal, Harald C. Traue
Intraindividual and interindividual multimodal emotion analyses in Human-Machine-Interaction. CogSIMA (2012)
David Philippou-Hübner, Bogdan Vlasenko, Ronald Böck, Andreas Wendemuth
The Performance of the Speaking Rate Parameter in Emotion Recognition from Speech. ICME (2012)
David Philippou-Hübner, Bogdan Vlasenko, Ronald Böck, Andreas Wendemuth
The Performance of the Speaking Rate Parameter in Emotion Recognition from Speech. ICME Workshops (2012)
Francesca Bonin, Ronald Böck, Nick Campbell
How Do We React to Context? Annotation of Individual and Group Engagement in a Video Corpus. SocialCom/PASSAT (2012)
Stefan Glüge, Ronald Böck, Andreas Wendemuth
Extension of Backpropagation through Time for Segmented-memory Recurrent Neural Networks. IJCCI (2012)
Ronald Böck, Ingo Siegert, Matthias Haase, Julia Lange, Andreas Wendemuth
ikannotate - A Tool for Labelling, Transcription, and Annotation of Emotionally Coloured Speech. ACII (1) (2011)
Steffen Walter, Stefan Scherer, Martin Schels, Michael Glodek, David Hrabal, Miriam Schmidt, Ronald Böck, Kerstin Limbrecht, Harald C. Traue, Friedhelm Schwenker
Multimodal Emotion Classification in Naturalistic User Behavior. HCI (3) (2011)
Ingo Siegert, Ronald Böck, Andreas Wendemuth
Modeling Users' Mood State to Improve Human-Machine-Interaction. COST 2102 Training School (2011)
Bogdan Vlasenko, David Philippou-Hübner, Dmytro Prylipko, Ronald Böck, Ingo Siegert, Andreas Wendemuth
Vowels formants analysis allows straightforward detection of high arousal emotions. ICME (2011)
Ingo Siegert, Ronald Böck, Bogdan Vlasenko, David Philippou-Hübner, Andreas Wendemuth
Appropriate emotional labelling of non-acted speech using basic emotions, geneva emotion wheel and self assessment manikins. ICME (2011)
Stefan Glüge, Ronald Böck, Andreas Wendemuth
Segmented-Memory Recurrent Neural Networks versus Hidden Markov Models in Emotion Recognition from Speech. IJCCI (NCTA) (2011)
Stefan Glüge, Ronald Böck, Andreas Wendemuth
Implicit Sequence Learning - A Case Study with a 4-2-4 Encoder Simple Recurrent Network. IJCCI (ICFC-ICNC) (2010)
Rainer Knauf, Ronald Böck, Yoshitaka Sakurai, Shinichi Dohi, Setsuo Tsuruta
Knowledge mining for supporting learning processes. SMC (2008)

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Publication Activity (10 Years)

Top Topics

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Ronald Böck