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Hendrik Buschmeier
Hendrik Buschmeier
Digital Linguistics Lab, Faculty of Linguistics and Literary Studies, Bielefeld University
Verified email at uni-bielefeld.de - Homepage
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Explanation as a social practice: Toward a conceptual framework for the social design of AI systems
KJ Rohlfing, P Cimiano, I Scharlau, T Matzner, HM Buhl, H Buschmeier, ...
IEEE Transactions on Cognitive and Developmental Systems 13 (3), 717-728, 2020
842020
Combining incremental language generation and incremental speech synthesis for adaptive information presentation
H Buschmeier, T Baumann, B Dosch, D Schlangen, S Kopp
SIGdial 2012 – The 13th Annual Meeting of the Special Interest Group on …, 2012
582012
An alignment-capable microplanner for natural language generation
H Buschmeier, K Bergmann, S Kopp
ENLG 2009 – The 12th European Workshop on Natural Language Generation, 82-89, 2009
532009
TextGridTools: A TextGrid processing and analysis toolkit for Python
H Buschmeier, M Włodarczak
ESSV 2013 – 24. Konferenz zur Elektronischen Sprachsignalverarbeitung, 152–157, 2013
502013
Conversational assistants for elderly users — The importance of socially cooperative dialogue
S Kopp, M Brandt, H Buschmeier, K Cyra, F Freigang, N Krämer, ...
AAMAS Workshop on Intelligent Conversation Agents in Home and Geriatric Care …, 2018
472018
An architecture for fluid real-time conversational agents: Integrating incremental output generation and input processing
S Kopp, H van Welbergen, R Yaghoubzadeh, H Buschmeier
Journal on Multimodal User Interfaces 8, 97–108, 2014
472014
Towards conversational agents that attend to and adapt to communicative user feedback
H Buschmeier, S Kopp
IVA 2011 – The 11th International Conference on Intelligent Virtual Agents …, 2011
392011
Middleware for incremental processing in conversational agents
D Schlangen, T Baumann, H Buschmeier, O Buß, S Kopp, G Skantze, ...
SIGdial 2010 – The 11th Annual Meeting of the Special Interest Group on …, 2010
372010
Communicative listener feedback in human–agent interaction: Artificial speakers need to be attentive and adaptive
H Buschmeier, S Kopp
🏆 AAMAS 2018 – Proceedings of the 17th International Conference on …, 2018
362018
A multimodal in-car dialogue system that tracks the driver's attention
S Kousidis, C Kennington, T Baumann, H Buschmeier, S Kopp, ...
ICMI 2014 – The 16th International Conference on Multimodal Interaction, 26–33, 2014
362014
The ALICO corpus: Analysing the active listener
Z Malisz, M Włodarczak, H Buschmeier, J Skubisz, S Kopp, P Wagner
Language Resources and Evaluation 50, 411–442, 2016
312016
‘Are you sure you’re paying attention?’–‘Uh-huh’ Communicating understanding as a marker of attentiveness
H Buschmeier, Z Malisz, M Włodarczak, S Kopp, P Wagner
INTERSPEECH 2011, 2057–2060, 2011
262011
Listener head gestures and verbal feedback expressions in a distraction task
M Wlodarczak, H Buschmeier, Z Malisz, S Kopp, P Wagner
Interdisciplinary Workshop on Feedback Behaviors in Dialog, 93–96, 2012
222012
Better driving and recall when in-car Information presentation uses situationally-aware incremental speech output generation
C Kennington, S Kousidis, T Baumann, H Buschmeier, S Kopp, ...
AutoUI 2014 – The 6th International Conference on Automotive User Interfaces …, 2014
202014
Situationally aware in-car information presentation using incremental speech generation: safer, and more effective
S Kousidis, C Kennington, T Baumann, H Buschmeier, S Kopp, ...
EACL 2014 Workshop on Dialogue in Motion, 68–72, 2014
182014
Modeling feedback in interaction with conversational agents—A review
A Axelsson, H Buschmeier, G Skantze
Frontiers in Computer Science, 2022
172022
Age-Related Differences in the Evaluation of a Virtual Health Agent’s Appearance and Embodiment in a Health-Related Interaction: Experimental Lab Study
C Straßmann, NC Krämer, H Buschmeier, S Kopp
Journal of Medical Internet Research 22 (4), e13726, 2020
172020
Modelling and evaluation of lexical and syntactic alignment with a priming-based microplanner
H Buschmeier, K Bergmann, S Kopp
Empirical Methods in Natural Language Generation, 85–104, 2011
172011
When to elicit feedback in dialogue: Towards a model based on the information needs of speakers
H Buschmeier, S Kopp
IVA 2014 – The 14th International Conference on Intelligent Virtual Agents …, 2014
152014
Using a Bayesian model of the listener to unveil the dialogue information state
H Buschmeier, S Kopp
SemDial 2012 – The 16th Workshop on the Semantics and Pragmatics of Dialogue …, 2012
152012
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