Auriane Boudin

Presentation

I am a final-year Ph.D. candidate in Linguistics and Computer Science at Aix-Marseille Université, funded by ILCB affiliated with both the Laboratoire Parole et Langage (UMR 7309) and the Laboratoire d'Informatique et Systèmes (UMR 7020). I am supervised by Philippe Blache, Magalie Ochs, Roxane Bertrand and Stéphane Rauzy. I also spent 4 months at Carnegie Mellon University supervised by Professor Louis-Philippe Morency.

My research focuses on understanding the mechanisms of communication and mutual comprehension, exploring both behavioral and cognitive dimensions to identify factors that enhance the quality of conversations. Specifically, my thesis work focuses on conversational feedback.

My expertise includes:

• Creating multimodal corpora encompassing audio-video and neurophysiological data with annotations across various modalities. Notably, I created the SMYLE corpus.
• Engaging in computational modeling and statistical analysis to develop predictive feedback models using interpretable multimodal features. Currently, I am engaged in defining listening styles through methods such as clustering with interpretable features.
• Employing experimental approaches to design and conduct online experiments for evaluating feedback perception. Additionally, I study the impact of distractions on listener behavior using experimental aspects of the SMYLE corpus.

I would be delighted to connect with anyone interested in discussing my research or exploring collaboration opportunities. Please don't hesitate to reach out to me at auriane.boudin@univ-amu.fr

Publications

Journal

1. Boudin, A., Rauzy, S., Bertrand, R., Ochs, M., & Blache, P., Morency, LP. Exploring Listener Variability: A Study of Listening Styles and Alignment in Spontaneous Conversations. In preparation.

2. Boudin, A., Rauzy, S., Bertrand, R., Ochs, M., & Blache, P. How is Your Feedback Perceived? An Experimental Study of Anticipated and Delayed Conversational Feedback. JASA Express Letters, 4(7). (access)

3. Boudin, A., Bertrand, R., Rauzy, S., Ochs, M., & Blache, P. (2024). A Multimodal Model for Predicting Feedback Position and Type During Conversation. Speech Communication, 103066. (access)

4. Pellet-Rostaing, A., Bertrand, R., Boudin, A., Rauzy, S., & Blache, P. (2023). A multimodal approach for modeling engagement in conversation. Frontiers in Computer Science, 5, 1062342. (access)

5. Ochs, M., Pergandi, J. M., Ghio, A., André, C., Sainton, P., Ayad, E., Boudin, A., & Bertrand, R. (2023). A forum theater corpus for discrimination awareness. Frontiers in Computer Science, 5, 1081586. (access)

6. Amoyal, M., Bertrand, R., Bigi, B., Boudin, A., Meunier, C., Pallaud, B., Priego-Valverde, B., Rauzy, S., & Tellier, M. (2022). Principes et outils pour l’annotation des corpus. Travaux Interdisciplinaires sur la Parole et le Langage, 38. (access)

Conference

1. Kebe, G. Y., Birlikci, M. D., Boudin, A., A., Ishii, R., Girard, J. M., & Morency, LP. GeSTICS: A Multimodal Corpus for Studying Gesture Synthesis in Two-party Interactions with Contextualized Speech. 24th ACM International Conference on Intelligent Virtual Agents. In press.

2. Boudin, A., Derban, I., D'Ambra, A., Pergandi, J.-M., Blache, P., & Ochs, M.(2024). OUTCOME Virtual : a Tool for Automatically Creating Virtual Character Animatins’ from Human Videos.. 24th ACM International Conference on Intelligent Virtual Agents (IVA ’24), Demo Paper. In press.

3. Boudin, A., Rauzy, S., Bertrand, R., Ochs, M., & Blache, P.(2024). The Distracted Ear: How Listeners Shape Conversational Dynamics. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (pp. 15872-15887).

4. Boudin, A., Bertrand, R., Rauzy, S., Houlès, M., Legou, T., Ochs, M., & Blache, P. (2023, October). SMYLE : A new multimodal resource of talk-in-interaction including neuro-physiological signal. In Companion Publication of the 25th International Conference on Multimodal Interaction (pp. 344-352). (access)

5. Boudin, A., Bertrand, R., Ochs, M., Blache, P., & Rauzy, S. (2022). Are you Smiling When I am Speaking ?. In Proceedings of the Smiling and Laughter across Contexts and the Life-span Workshop@ LREC2022. (access)

6. Boudin, A., (2022). Interdisciplinary corpus-based approach for exploring multimodal conversational feedback. In Proceedings of the 2022 International Conference on Multimodal Interaction (pp. 705-710). (access)

7. Boudin, A., Bertrand, R., Rauzy, S., Ochs, M., & Blache, P. (2021). A multimodal model for predicting conversational feedbacks. In International conference on text, speech, and dialogue (pp. 537-549). Springer, Cham. (access)

Education

Teaching

• 2023 Corpus (16h) - First year of Master’s Degree in Language Sciences, Aix-en-Provence, France.
• 2023 Language Technologies (11h) - First year of Bachelor’s Degree in Language Sciences, Aix-en-Provence, France.
• 2022-2023 Semantics and Interactions (48h) - Second year of Bachelor’s Degree in Language Sciences, Aix-en-Provence, France.
• 2022-2023 Language, Culture, and Society (54h) - First year of Bachelor’s Degree in Linguistics/Educational Sciences/Sociology, Aix-en-Provence, France.
• 2021 Systems and Dialogue (4h) - Second year of Master’s Degree in Cognitive Sciences, Aix-en-Provence, France.

Supervisions

Professional Engagements