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HOEHN Sviatlana

Main Referenced Co-authors
SCHOMMER, Christoph  (10)
Busemann, Stephan (4)
GUO, Siwen  (4)
ZIEGLER, Gudrun  (4)
MAUW, Sjouke  (3)
Main Referenced Keywords
Artificial Companion (4); Sentiment Analysis (4); Chatbots (3); Dialogue Systems (3); ICALL (2);
Main Referenced Disciplines
Computer science (27)
Engineering, computing & technology: Multidisciplinary, general & others (2)
Languages & linguistics (1)
Sociology & social sciences (1)

Publications (total 31)

The most downloaded
1106 downloads
Hoehn, S., & Bongard, K. (2020). Heuristic Evaluation of COVID-19 Chatbots. In Proceedings of CONVERSATIONS 2020. doi:10.1007/978-3-030-68288-0_9 https://hdl.handle.net/10993/44913

The most cited

12 citations (Scopus®)

Danilava, S., Busemann, S., & Schommer, C. (2012). Artificial Conversational Companions A Requirements Analysis. In Proceedings "4th International Conference on Agents and Artificial Intelligence" (pp. 282-289). SciTePress 2012. doi:10.5220/0003834702820289 https://hdl.handle.net/10993/16764

Hoehn, S., McCahill, J. (Other coll.), & Paikan, A. (Other coll.). (April 2023). Long-Term Use of QTrobot Platform for Autism in Families: The Parents’ Reports [Paper presentation]. WISH @ CHI 2023, Hamburg, Germany.

Hoehn, S., Migge, B., Schneider, B., & Dippold, D. (23 November 2022). Attitudes, Preconceptions and Practices in Conversational AI Design [Paper presentation]. CONVERSATIONS2022.

Hoehn, S. (25 October 2022). Chatbots in Business Communication [Paper presentation]. Invited researcher, Konin and Lodz, Poland.

Sousa Silva, R., & Hoehn, S. (14 July 2022). “The human-machine era dawns”: Spanning beyond the computation/linguistics binary [Paper presentation]. Socio-Linguistic Symposium, Ghent, Belgium.

Hoehn, S., Lewandowska-Tomaszczyk, B., Mauw, S., & Gabbay, D. (01 July 2022). Understanding Content Bias: Qualitative research supports computational methods [Paper presentation]. 2nd International Conference 'Language in the Human-Machine Era', Jyväskylä, Finland.

Hoehn, S. (30 May 2022). Linguistic Bias in Language Technology and Technology-mediated Communication [Paper presentation]. The 2nd Training School 'Language in the Human-Machine Era', Porto, Portugal.

Hoehn, S., Mauw, S., & Asher, N. (2022). BelElect: A New Dataset for Bias Research from a ”Dark” Platform. In Vol. 16 (2022): Proceedings of the Sixteenth International AAAI Conference on Web and Social Media. AAAI.
Peer reviewed

kudryavtseva, K., & Hoehn, S. (November 2021). SafeTraveller - A conversational assistant for BeNeLux travellers [Paper presentation]. BNAIC/BENELEARN2021.

Hoehn, S., Mauw, S., & Asher, N. (2021). Examining Linguisic Biases with a Game Teoretic Analysis. In Proceedings of the 3rd Multidisciplinary International Symposium on Disinformation in Open Online Media. Springer.
Peer reviewed

Hoehn, S., & Faradouris, N. (2021). What does it cost to deploy an XAI system: A case study in legacy systems. In Proceedings of EXTRAAMAS 2021. doi:10.1007/978-3-030-82017-6_11
Peer reviewed

Hoehn, S. (2021). BelElect Dataset. doi:10.5281/zenodo.5844350

Hoehn, S., & Bongard, K. (2020). Heuristic Evaluation of COVID-19 Chatbots. In Proceedings of CONVERSATIONS 2020. doi:10.1007/978-3-030-68288-0_9
Peer reviewed

Guo, S., Höhn, S., & Schommer, C. (2019). A Personalized Sentiment Model with Textual and Contextual Information. In The SIGNLL Conference on Computational Natural Language Learning, Hong Kong 3-4 November 2019.
Peer reviewed

Mano Ferreira, C., & Höhn, S. (2019). Crafting Conversational Agents' Personality in a User-Centric Context. In Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019) (pp. 1-2).
Peer reviewed

Höhn, S. (2019). Artificial Companion for Second Language Conversation. Springer International Publishing. doi:10.1007/978-3-030-15504-9

Guo, S., Höhn, S., & Schommer, C. (2019). Looking into the Past: Evaluating the Effect of Time Gaps in a Personalized Sentiment Model. In ACM/SIGAPP Symposium On Applied Computing, Limassol 8-12 April 2019.
Peer reviewed

Guo, S., Höhn, S., & Schommer, C. (2019). Topic-based Historical Information Selection for Personalized Sentiment Analysis. In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges 24-26 April 2019.
Peer reviewed

Guo, S., Höhn, S., Xu, F., & Schommer, C. (2019). Personalized Sentiment Analysis and a Framework with Attention-Based Hawkes Process Model. In Agents and Artificial Intelligence. Springer. doi:10.1007/978-3-030-05453-3_10
Peer reviewed

Jenzsch, S., Höhn, S., & Hochgeschwender, N. (2019). Conversational Interfaces for Explainable AI: A Human-Centered Approach. In Proceedings of EXTRAAMAS 2019 (pp. 1-14).
Peer reviewed

Vijayakumar, B., Höhn, S., & Schommer, C. (2018). Quizbot: Exploring Formative Feedback with Conversational Interfaces. In B. Vijayakumar, S. Höhn, ... C. Schommer, Proceedings of the. Springer.
Peer reviewed

Höhn, S. (2017). A data-driven model of explanations for a chatbot that helps to practice conversation in a foreign language. In Proceedings of SIGDial 2017.
Peer reviewed

Höhn, S. (2016). Data-driven Repair Models for Text Chat with Language Learners [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/28024

Höhn, S. (2016). Data-driven Repair Models for Text Chat with Language Learners [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/27057

Höhn, S., Busemann, S., Max, C., Schommer, C., & Ziegler, G. (September 2015). Interaction Profiles for an Artificial Conversational Companion [Paper presentation]. International Symposium on Companion Technology, Ulm, Germany.

Höhn, S. (2015). Corpus of long-term instant messaging based dialogues between advanced learners of German as a foreign language and German native speakers: deL1L2IM. ELRA.

Höhn, S. (2015). Dealing with Trouble: A Data-Driven Model of a Repair Type for a Conversational Agent. In Proceedings of the twenty-ninth AAAI conference on Artificial Intelligence. AAAI Press.
Peer reviewed

Danilava, S., Busemann, S., Schommer, C., & Ziegler, G. (2013). Towards Computational Models for a Long-term Interaction with an Artificial Conversational Companion. In Proceedings "5th International Conference on Agents an Artificial Intelligence" (pp. 241-248).
Peer reviewed

Danilava, S. (2013). Artificial Conversational Companions. In Proceedings of the 27th AAAI Conference on Artificial Intelligence, AAAI/SIGART Doctoral Consortium.
Peer reviewed

Danilava, S., Busemann, S., Schommer, C., & Ziegler, G. (2013). Why are you Silent? - Towards Responsiveness in Chatbots. Avec le Temps! Time, Tempo, and Turns in Human-Computer Interaction". Workshop at CHI 2013, Paris, France.
Peer reviewed

Danilava, S., Busemann, S., & Schommer, C. (2012). Artificial Conversational Companions A Requirements Analysis. In Proceedings "4th International Conference on Agents and Artificial Intelligence" (pp. 282-289). SciTePress 2012. doi:10.5220/0003834702820289
Peer reviewed

Danilava, S., Schommer, C., & Ziegler, G. (2012). Long-term Human-machine Interaction: Organisation and Adaptability of Talk-in-interaction. CHIST-ERA Conference, Edinburgh, Scotland.
Peer reviewed

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