< Publications (by topic)

Attentive Speaking

Axelsson, A., Buschmeier, H., & Skantze, G. (2022). Modeling feedback in interaction with conversational agents—A review. Frontiers in Computer Science, 4:744574. [pdf, bib]

Buschmeier, H., & Kopp, S. (2018). Communicative listener feedback in human–agent interaction: artificial speakers need to be attentive and adaptive. In Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems, pp. 1213–1221, Stockholm, Sweden. [pdf/preprint, bib, material, poster] *Best Paper Award Socially Interactive Agents Track*

Buschmeier, H. (2018). Attentive Speaking. From Listener Feedback to Interactive Adaptation. PhD-thesis, Faculty of Technology, Bielefeld University, Bielefeld, Germany. [PDF, bib]

Buschmeier, H. & Kopp, S. (2017). Conversational agents need to be ‘attentive speakers’ to receive conversational feedback from human interlocutors (extended abstract). Presented at the 5th European Symposium on Multimodal Communication, Bielefeld, Germany. [pdf/postprint, bib]

Buschmeier, H. & Kopp, S. (2014). A dynamic minimal model of the listener for feedback-based dialogue coordination. In SemDial 2014: Proceedings of the 18th Workshop on the Semantics and Pragmatics of Dialogue, pp. 17–25, Edinburgh, UK. [pdf, bib, model]

Buschmeier, H. & Kopp, S. (2014). When to elicit feedback in dialogue: Towards a model based on the information needs of speakers. In Proceedings of the 14th International Conference on Intelligent Virtual Agents, pp. 71–80, Boston, MA, USA. [pdf/postprint, bib]

Buschmeier, H. & Kopp, S. (2013). Co-constructing grounded symbols—Feedback and incremental adaptation in human–agent dialogue. Künstliche Intelligenz, 27:137–143. [pdf/postprint, bib]

Buschmeier, H. & Kopp, S. (2012). Understanding how well you understood – Context-sensitive interpretation of multimodal user feedback. In Proceedings of the 12th International Conference on Intelligent Virtual Agents, pp. 517–519, Santa Cruz, CA, USA. [pdf, bib]

Buschmeier, H. & Kopp, S. (2012). Using a Bayesian model of the listener to unveil the dialogue information state. In SemDial 2012: Proceedings of the 16th Workshop on the Semantics and Pragmatics of Dialogue, pp. 12–20, Paris, France. [pdf, bib, model]

Buschmeier, H. & Kopp, S. (2012). Adapting language production to listener feedback behaviour. In Proceedings of the Interdisciplinary Workshop on Feedback Behaviors in Dialog, pp. 7–10, Stevenson, WA, USA. [pdf, bib]

Buschmeier, H., & Kopp, S. (2011). Unveiling the information state with a Bayesian model of the listener. In SemDial 2011: Proceedings of the 15th Workshop on the Semantics and Pragmatics of Dialogue, pp. 178–179, Los Angeles, CA, USA. [pdf, bib, poster – non-peer-reviewed poster]

Buschmeier, H., & Kopp, S. (2011). Towards conversational agents that attend to and adapt to communicative user feedback. In Proceedings of the 11th International Conference on Intelligent Virtual Agents, pp. 169–182, Reykjavík, Iceland. [pdf/postprint, bib]

Natural Language Generation

Zarrieß, S., Buschmeier, H., Han, T. & Schüz, S. (accepted). Decoding, fast and slow: A case study on balancing trade-offs in incremental, character-level pragmatic reasoning. In Proceedings of the 14th International Conference on Natural Language Generation, pp. 371–376, Aberdeen, Scotland, UK. [pdf/preprint, bib]

Brockow, H. & Buschmeier, H. (2021). Evaluating NLG-frameworks for multilingual surface realization in conversational assistants. In Proceedings of the 3rd Conference on Conversational User Interfaces, 36, Bilbao (Virtual), Spain. [pdf/preprint, bib, material]

Buschmeier, H., Baumann, T., Dosch, B., Kopp, S., & Schlangen, D. (2012). Combining incremental language generation and incremental speech synthesis for adaptive information presentation. In Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue, pp. 295–303, Seoul, South Korea. [pdf, bib, video]

Striegnitz, K., Buschmeier, H., & Kopp, S. (2012). Referring in installments: A corpus study of spoken object references in an interactive virtual environment. In Proceedings of the 7th International Natural Language Generation Conference, pp. 12–16, Utica, IL, USA. [pdf, bib]

Buschmeier, H., Bergmann, K., & Kopp, S. (2010). Modelling and evaluation of lexical and syntactic alignment with a priming-based microplanner. In Krahmer, E. & Theune, M., Eds., Empiricial Methods in Natural Language Generation, pp. 85–104, Springer, Berlin, Germany. [pdf/postprint, bib]

Buschmeier, H., Bergmann, K., & Kopp, S. (2010). Adaptive expressiveness – Virtual conversational agents that can align to their interaction partner. In Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems, pp. 91–98, Toronto, Canada. [pdf, bib]

Buschmeier, H., Bergmann, K., & Kopp, S. (2009). An alignment-capable microplanner for natural language generation. In Proceedings of the 12th European Workshop on Natural Language Generation, pp. 82–89, Athens, Greece. [pdf, bib]

Buschmeier, H., (2008). Alignment-supported Micropanning in Natural Language Generation. Diploma thesis, Faculty of Technology, Bielefeld University, Bielefeld, Germany. [bib]

Human–Robot Interaction

Lachenmaier, C., Lumer, E., Buschmeier, H., & Zarrieß, S. (2024). Towards understanding the entanglement of human stereotypes and system biases in human–robot interaction. In Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, pp. 646–649, Boulder, CO, USA. [bib, pdf]

Lumer, E., & Buschmeier, H. (2023). Should robots be polite? Expectations about politeness in human-robot interaction. Frontiers in Robotics and AI, 10, 1242127. [bib]

Lumer, E., Lachenmaier, C., Zarrieß, S., & Buschmeier, H. (2023). Indirect politeness of disconfirming answers to humans and robots. In Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, pp. 1808–1815, Busan, Korea. [pdf/postprint, bib]

Lumer, E. & Buschmeier, H. (2022). Perception of power and distance in human-human and human-robot role-based relations.. In Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction, pp. 895–899, Sapporo, Hokkaido, Japan. [pdf/postprint, bib, material]

Horstmann, B., Diekmann, N., Buschmeier, H., & Hassan, T. (2020). Towards designing privacy-compliant social robots for use in private households: A use case based identification of privacy implications and potential technical measures for mitigation. In Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication (Ro-Man), pp. 869–876, Naples, Italy. [pdf/preprint, bib, material]

Explainable AI

Buschmeier, H., Buhl, H. M., Kern, F., Grimminger, A., Beierling, H., Fisher, J., Groß, A., Horwath, I., Klowait, N., Lazarov, S., Lenke, M., Lohmer, V., Rohlfing, K., Scharlau, I., Singh, A., Terfloth, L., Vollmer, A.-L., Wang, Y., Wilmes, A., & Wrede, B. (preprint). Forms of understanding of XAI-explanations. arXiv, 2311.08760.

Sieker, J., Junker, S., Utescher, R., Attari, N., Wersing, H., Buschmeier, H., & Zarrieß, S. (2024). The illusion of competence: Evaluating the effect of explanations on users’ mental models of visual question answering systems. In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pp. 19459–19475. Miami, FL, USA. [bib, supplementary material]

Klowait, N., Erofeeva, M., Lenke, M., Horwath, I., & Buschmeier, H. (2024). Can AI explain AI? Interactive co-construction of explanations among human and artificial agents. Discourse & Communication, 18:917–930. [bib, preprint, material]

Booshehri, M., Buschmeier, H., & Cimiano, P. (2024). A model of factors contributing to the success of dialogical explanations. In: Proceedings of the 26th ACM International Conference on Multimodal Interaction, pp. 373–381. San José, Costa Rica. [bib]

Türk, O., Lazarov, S., Wang, Y., Buschmeier, H., Grimminger, A., & Wagner, P. (2024). Predictability of understanding in explanatory interactions based on multimodal cues. In: Proceedings of the 26th ACM International Conference on Multimodal Interaction, pp. 449–458. San José, Costa Rica. [bib]

Booshehri, M., Buschmeier, H., & Cimiano, P. (2024). Towards a BFO-based ontology of understanding in explanatory interactions. In: Proceedings of the 4th International Workshop on Data Meets Applied Ontologies in Explainable AI (DAO-XAI), Santiago de Compostela, Spain. [bib]

Wagner, P., Włodarczak, M., Buschmeier, H., Türk, O., & Gilmartin, E. (2024). Turn-taking dynamics across different phases of explanatory dialogues. In: Proceedings of the 28th Workshop on the Semantics and Pragmatics of Dialogue, pp. 6–14, Trento, Italy. [bib]

Booshehri, M., Buschmeier, H., Cimiano, P., Kopp, S., Kornowicz, J., Lammert, O., Matarese, M., Mindlin, D., Robrecht, A. S., Vollmer, A.-L., Wagner, P., & Wrede, B. (2024). Towards a computational architecture for co-constructive explainable systems. In Proceedings of the 4th International Workshop on Explainability Engineering (ExEn), pp. 20–25, Lisbon, Portugal. [bib]

Rohlfing, K., Cimiano, P., Scharlau, I., Matzner, T., Buhl, H., Buschmeier, H., Grimminger, A., Hammer, B., Häb-Umbach, R., Horwath, I., Hüllermeier, E., Kern, F., Kopp, S., Thommes, K., Ngonga Ngomo, A.-C., Schulte, C., Wachsmuth, H., Wagner, P., & Wrede, B. (2021). Explanation as a social practice: Towards a conceptual framework to foster social design of AI systems. IEEE Transactions on Cognitive and Developmental Systems, 13:717–728. [bib]

Stange, S., Buschmeier, H., Hassan, T., Ritter, C., & Kopp, S. (2019). Towards self-explaining social robots: Verbal explanation strategies for a needs-based architecture. In Proceedings of the AAMAS 2019 Workshop on Cognitive Architectures for HRI: Embodied Models of Situated Natural Language Interactions, Montréal, Canada. [pdf, bib]

Feedback signals

Pilán, I., Prévot, L., Buschmeier, H., & Lison, P. (2024). Conversational feedback in scripted versus spontaneous dialogues: A comparative analysis. In: Proceedings of the 25th Meeting of the Special Interest Group on Discourse and Dialogue, pp. 440–457, Kyoto, Japan. [bib, poster, arXiv:2309.15656]

Buschmeier, H., & Kopp, S. (2019). Probabilistic pragmatic inference of communicative feedback meaning, contribution to the panel “Rethinking marginality: Interjections as the beating heart of language”. In Abstracts of the 16th International Pragmatics Conference, pp. 480–481, Hong Kong, China. [pdf, bib]

Malisz, Z., Włodarczak, M., Buschmeier, H., Skubisz, J., Kopp, S., & Wagner, P. (2016). The ALICO corpus: Analysing the active listener. Language Resources and Evaluation, 50:411–442. [pdf/postprint, bib]

Buschmeier, H., Malisz, Z., Skubisz, J., Włodarczak, M., Wachsmuth, I., Kopp, S., & Wagner, P. (2014). ALICO: A multimodal corpus for the study of active listening. In Proceedings of the 9th Language Resources and Evaluation Conference, pp. 3638–3643, Reykjavík, Iceland. [pdf, bib]

Włodarczak, M., Buschmeier, H., Malisz, Z., Kopp, S., & Wagner, P. (2012). Listener head gestures and verbal feedback expressions in a distraction task. In Proceedings of the Interdisciplinary Workshop on Feedback Behaviors in Dialog, pp. 93–96, Stevenson, WA, USA. [pdf, bib]

Malisz, Z., Włodarczak, M., Buschmeier, H., Kopp, S., & Wagner, P. (2012). Prosodic characteristics of feedback expressions in distracted and non-distracted listeners. In Proceedings of The Listening Talker. An Interdisciplinary Workshop on Natural and Synthetic Modification of Speech in Response to Listening Conditions, pp. 36–39, Edinburgh, UK. [pdf, bib]

Buschmeier, H., Malisz, Z., Włodarczak, M., Kopp, S., & Wagner, P. (2011). ‘Are you sure you’re paying attention?’ – ‘Uh-huh’. Communicating understanding as a marker of attentiveness. In Proceedings of INTERSPEECH 2011, pp. 2057–2060, Florence, Italy. [pdf/postprint, bib]

Assistive technology

Núñez Macías, N., Hielscher-Fastabend, M., & Buschmeier, H. (2023). Use and acceptance of voice assistants among people with aphasia in Germany. Frontiers in Communication, 8:744574. [bib]

Straßmann, C., Krämer, N. C., Buschmeier, H., & Kopp, S. (2020). Age-related differences in the evaluation of a virtual health agent’s appearance and embodiment in a health-related interaction: Experimental lab study. Journal of Medical Internet Research, 22:e13726. [pdf, bib]

Kopp, S., Brandt, M., Buschmeier, H., Cyra, K., Freigang, F., Krämer, N., Kummert, F., Opfermann, C., Pitsch, K., Schillingmann, L., Straßmann, C., Wall, E., & Yaghoubzadeh, R. (2018). Conversational assistants for elderly users – The importance of socially cooperative dialogue. In Proceedings of the AAMAS 2018 Workshop on Intelligent Conversational Agents in Home and Geriatric Care Applications, pp. 10–17, Stockholm, Sweden. [pdf, bib]

Yaghoubzadeh, R., Buschmeier, H., & Kopp, S. (2015). Socially cooperative behavior for artificial companions for elderly and cognitively impaired people. In Proceedings of the 1st International Symposium on Companion-Technology, pp. 15–19, Ulm, Germany. [pdf, bib, poster]

Miscellaneous

Riechmann, A. N., & Buschmeier, H. (2024). Automatic reconstruction of dialogue participants’ coordinating gaze behavior from multiple camera perspectives. In: Book of Abstracts of the 2nd International Multimodal Communication Symposium, pp. 38–39, Frankfurt am Main, Germany. [poster]

Viswanath, A., Mallick, J., Hassan, T., & Buschmeier, H. (2024). Recommendations for managing ambiguities in emotion annotations. In: Proceedings of the 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), Workshop on Embracing Ambiguity and Subjectivity in Emotion Research, pp. 171–175, Glasgow, UK. [bib]

Belosevic, M., & Buschmeier, H. (2024). Modeling the use-mention distinction in LLM-generated grounding acts. In: Proceedings of the 28th Workshop on the Semantics and Pragmatics of Dialogue, pp. 169–171, Trento, Italy. [bib]

Wang, Y., & Buschmeier, H. (2024). Revisiting the phenomenon of syntactic complexity convergence on German dialogue data. In: Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024), pp. 75–80, Vienna, Austria. [bib, arXiv:2408.12177]

Wang, Y., Xu, Y., Skantze, G., & Buschmeier, H. (2024). How much does nonverbal communication conform to entropy rate constancy?: A case study on listener gaze in interaction. In: Findings of the Association for Computational Linguistics ACL 2024, pp. 3533–3545, Bangkok, Thailand.

Jorschick, A., Schrader, P. T., & Buschmeier, H. (2024). What can I do with this data point? Towards modeling legal and ethical aspects of linguistic data collection and (re-)use. In: Proceedings of the Workshop on Legal and Ethical Issues in Human Language Technologies at LREC-COLING 2024, pp. 47–51, Torino, Italy. [bib]

Belosevic, M., & Buschmeier, H. (2024). Calibrating trust and enhancing user agency in LLM-based chatbots through conversational styles In: CUI@CHI 2024 Workshop: Building Trust in CUIs – From Design to Deployment, pp. 1–3, Honululu, HI, USA. [bib]

Belosevic, M., & Buschmeier, H. (2024). Quantifying perceived trustworthiness of LLM-based chatbots: A mixed-method approach. In: Digital Humanities Im Deutschsprachigen Raum 2024, pp. 1–5, Passau, Germany. [bib]

Wang, Y., & Buschmeier, H. (2023). Does listener gaze in face-to-face interaction follow the Entropy Rate Constancy principle: An empirical study. Findings of the Association for Computational Linguistics: EMNLP 2023, pp. 15372–15379, Singapore. [bib, pdf]

Lumer, E. & Buschmeier, H. (2022). Modeling social influences on indirectness in a Rational Speech Act approach to politeness. In Proceedings of the 44th Annual Meeting of the Cognitive Science Society, pp. 2796–2802, Toronto, Canada. [bib]

Cutugno, F., & Buschmeier, H. (2021). Introduction to the special issue on computational dialogue modelling. Italian Journal of Computational Linguistics, 7, 7–8. [bib]

Rottschäfer, S., Buschmeier, H., van Welbergen, H., & Kopp, S. (2015). Online Lombard-adaptation in incremental speech synthesis. In Proceedings of INTERSPEECH 2015, pp. 80–84, Dresden, Germany. [pdf, bib, code]

Kousidis, S., Kennington, C., Baumann, T., Buschmeier, H., Kopp, S., & Schlangen, D. (2014). A multimodal in-car dialogue system that tracks the driver’s attention. In Proceedings of the 16th International Conference on Multimodal Interaction, pp.26–33, Istanbul, Turkey. [pdf, bib]

Kennington, C., Kousidis, S., Baumann, T., Buschmeier, H., Kopp, S., & Schlangen, D. (2014). Better driving and recall when in-car information presentation uses situationally-aware incremental speech output generation. In Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, pp. 7:1–7:7, Seattle, WA, USA. [pdf, bib]

van Welbergen, H., Bergmann, K., Buschmeier, H., Kahl, S., de Kok, I., Sadeghipour, A., Yaghoubzadeh, R., & Kopp, S. (2014). Architectures and standards for IVAs at the Social Cognitive Systems Group. In Proceedings of the Workshop on Architectures and Standards for Intelligent Virtual Agents at IVA 2014, pp. 8–11, Boston, MA, USA. [pdf, bib]

Kousidis, S., Kennington, C., Baumann, T., Buschmeier, H., Kopp, S., & Schlangen, D. (2014). Situationally aware in-car information presentation using incremental speech generation: Safer, and more effective. In Proceedings of the EACL 2014 Workshop on Dialogue in Motion, pp. 68–72, Gothenburg, Sweden. [pdf, bib]

Kopp, S., van Welbergen, H., Yaghoubzadeh, R., & Buschmeier, H. (2014). An architecture for fluid real-time conversational agents: Integrating incremental output generation and input processing. Journal on Multimodal User Interfaces, 8:97–108. [pdf/postprint, bib]

Buschmeier, H. & Włodarczak, M. (2013). TextGridTools: A TextGrid processing and analysis toolkit for Python. In Proceedings der 24. Konferenz zur Elektronischen Sprachsignalverarbeitung, pp. 152–157, Bielefeld, Germany. [pdf, bib, poster, software]

Schlangen, D., Baumann, T., Buschmeier, H., Buß, O., Kopp, S., Skantze, G., & Yaghoubzadeh, R. (2010). Middleware for incremental processing in conversational agents. In Proceedings of SIGDIAL 2010: the 11th Annual Meeting of the Special Interest Group in Discourse and Dialogue, pp. 51–54, Tokyo, Japan. [pdf, bib]

Kopp, S., Bergmann, K., Buschmeier, H., & Sadeghipour, A. (2009). Requirements and building blocks for sociable embodied agents. In Proceedings of KI 2009 the 32nd Annual German Conference on Artificial Intelligence, pp. 508–515, Paderborn, Germany. [pdf/postprint, bib]

Edited volumes

Buschmeier, H., Kopp, S., & Hassan, T. (Eds.). (2024). Proceedings of the ICMI 2024 Workshop on Multimodal Co-Construction of Explanations with XAI. San José, Costa Rica: Association for Computing Machinery.

Stokoe, E., Albert, S., Buschmeier, H., & Stommel, W. (Eds.). (2024). Special Issue: Conversation Analysis and Conversational Technologies: Finding the Common Ground Between Academia and Industry. Discourse & Communication, 18(6):837-999. [bib]

Cutugno, F., Buschmeier, H., di Mario, M., & Origlia, A. (Eds.). (2021). Special Issue: Computational Dialogue Modelling: The Role of Pragmatics and Common Ground in Interaction. Italian Journal of Computational Linguistics, 7(1–2):1–244. [bib]

Lucas, G., Pelachaud, C., Kopp, S., Buschmeier, H., & Martin, J.-C. (Eds.). (2021). Special Issue: Socially Intelligent Agents. Journal on Multimodal User Interfaces, 15(2):87–254. [bib]

Pelachaud, C., Martin, J.-C., Buschmeier, H., Kopp, S., & Lucas, G. (Eds.). (2019). Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents (IVA), Paris, France: Association for Computing Machinery (ACM). [bib]

Foster, M. E., Buschmeier, H., & Gkatzia, D. (Eds.). (2018). Proceedings of the Workshop on NLG for Human–Robot Interaction, Tilburg, The Netherlands: Association for Computational Linguistics (ACL). [pdf, bib]