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A Multimodal Model for Predicting Conversational Feedbacks
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In: Text, Speech, and Dialogue 24th International Conference, TSD 2021, Olomouc, Czech Republic, September 6–9, 2021, Proceedings ; International Conference on Text, Speech, and Dialogue (TSD ) ; https://hal.archives-ouvertes.fr/hal-03331446 ; International Conference on Text, Speech, and Dialogue (TSD ), 2021, Olomouc, Czech Republic. ⟨10.1007/978-3-030-83527-9_46⟩ (2021)
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Two-level classification for dialogue act recognition in task-oriented dialogues
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In: COLING-2020 ; https://hal.archives-ouvertes.fr/hal-02954413 ; COLING-2020, Oct 2020, Barcelona, Spain (2020)
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Toward an Automatic Prediction of the Sense of Presence in Virtual Reality Environment
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In: 6th International Conference on Human-Agent Interaction (HAI-2018) ; https://hal.archives-ouvertes.fr/hal-01907590 ; 6th International Conference on Human-Agent Interaction (HAI-2018), Dec 2018, Southampton, United Kingdom ; http://hai-conference.net/hai2018/ (2018)
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Toward an Automatic Prediction of the Sense of Presence in Virtual Reality Environment
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In: International Conference on Human-Agent Interaction (HAI) ; https://hal.archives-ouvertes.fr/hal-01960814 ; International Conference on Human-Agent Interaction (HAI), Dec 2018, Southampton, United Kingdom. pp.161-166, ⟨10.1145/3284432.3284452⟩ (2018)
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What common ground between a human and a virtual agent? The case of task-oriented dialogues for breaking bad news
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In: SEMDIAL ; https://hal.archives-ouvertes.fr/hal-01907596 ; SEMDIAL, Nov 2018, Aix-en-Provence, France (2018)
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The Acorformed Corpus: Investigating Multimodality in Human-Human and Human-Virtual Patient Interactions
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In: CLARIN-2018 ; https://hal.archives-ouvertes.fr/hal-01907582 ; CLARIN-2018, Oct 2018, Pisa, Italy (2018)
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Brain neurophysiology to objectify the social competence of conversational agents
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In: Human-Agent Interaction ; https://hal.archives-ouvertes.fr/hal-01973552 ; Human-Agent Interaction, Dec 2018, Southampton, United Kingdom. ⟨10.1145/123_4⟩ (2018)
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Virtual Reality for Training Doctors to Break Bad News
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In: Lecture Notes in Computer Science ; 11th European Conference on Technology Enhanced Learning ; https://hal.archives-ouvertes.fr/hal-01462164 ; 11th European Conference on Technology Enhanced Learning, Sep 2016, Lyon, France. pp.6 (2016)
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Abstract:
International audience ; The way doctors deliver bad news has a significant impact on the therapeutic process: disease evolution, adherence with treatment recommendations, litigation possibilities (Andrade et al., 2010). However, both experienced clinicians and medical trainees consider this task as difficult, daunting, and stressful. Nowadays, training health care professional to break bad news, recommended by the French Haute Autorité de la Santé (HAS), is organized as workshops during which doctors disclose bad news to actors playing the role of patient. In our project, we are developing an embodied conversational agent simulating a patient to train doctors to break bad news. The embodied conversationalagent is incorporated in an immersive virtual reality environment (a CAVE) integrating several sensors to detect and recognize in real time the verbal and non-verbal behavior of the doctors interacting with the virtual patient.The virtual patient will adapt its behavior depending on the doctor’s verbal and non-verbal behavior. The methodology used to construct the virtual patient behavior model is based on a quantitative and qualitative analysis of corpus ofdoctors training sessions.
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Keyword:
[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing
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URL: https://hal.archives-ouvertes.fr/hal-01462164/file/Acorformed-v3-OchsBlache_EC-TEL.pdf https://hal.archives-ouvertes.fr/hal-01462164/document https://hal.archives-ouvertes.fr/hal-01462164
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Virtual Patient for Training Doctors to Break Bad News
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In: Actes du Workshop Affect, Compagnon Artificiel Interaction, WACAI'2016 ; Workshop, Affect, Compagnon Artificiel, Interaction ; https://hal.archives-ouvertes.fr/hal-01462159 ; Workshop, Affect, Compagnon Artificiel, Interaction, 2016, Brest, France. non paginé (2016)
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