| 1 |
A Multimodal Model for Predicting Conversational Feedbacks
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
|
| 2 |
Two-level classification for dialogue act recognition in task-oriented dialogues
|
|
|
|
In: COLING-2020 ; https://hal.archives-ouvertes.fr/hal-02954413 ; COLING-2020, Oct 2020, Barcelona, Spain (2020)
|
|
BASE
|
|
Show details
|
|
|
| 3 |
BrainPredict: a Tool for Predicting and Visualising Local Brain Activity
|
|
|
|
In: Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020) ; https://hal.archives-ouvertes.fr/hal-03016059 ; Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), pp.11 - 16, 2020 ; https://www.aclweb.org/anthology/2020.lrec-1.84/ (2020)
|
|
BASE
|
|
Show details
|
|
|
| 4 |
Brain activity during reciprocal social interaction investigated using conversational robots as control condition
|
|
|
|
In: ISSN: 0962-8436 ; EISSN: 1471-2970 ; Philosophical Transactions of the Royal Society B: Biological Sciences ; https://hal.archives-ouvertes.fr/hal-02067722 ; Philosophical Transactions of the Royal Society B: Biological Sciences, Royal Society, The, 2019, 374 (1771), pp.20180033. ⟨10.1098/rstb.2018.0033⟩ (2019)
|
|
BASE
|
|
Show details
|
|
|
| 5 |
Toward an Automatic Prediction of the Sense of Presence in Virtual Reality Environment
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
|
| 6 |
Toward an Automatic Prediction of the Sense of Presence in Virtual Reality Environment
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
|
| 7 |
What common ground between a human and a virtual agent? The case of task-oriented dialogues for breaking bad news
|
|
|
|
In: SEMDIAL ; https://hal.archives-ouvertes.fr/hal-01907596 ; SEMDIAL, Nov 2018, Aix-en-Provence, France (2018)
|
|
BASE
|
|
Show details
|
|
|
| 8 |
The Acorformed Corpus: Investigating Multimodality in Human-Human and Human-Virtual Patient Interactions
|
|
|
|
In: CLARIN-2018 ; https://hal.archives-ouvertes.fr/hal-01907582 ; CLARIN-2018, Oct 2018, Pisa, Italy (2018)
|
|
BASE
|
|
Show details
|
|
|
| 9 |
Challenges in Linking Physiological Measures and Linguistic Productions in Conversations
|
|
|
|
In: 1st Workshop on Linguistic and Neuro-Cognitive Resources ; https://hal.archives-ouvertes.fr/hal-01807839 ; 1st Workshop on Linguistic and Neuro-Cognitive Resources, May 2018, Miyazaki, Japan (2018)
|
|
BASE
|
|
Show details
|
|
|
| 10 |
Brain neurophysiology to objectify the social competence of conversational agents
|
|
|
|
In: Human-Agent Interaction ; https://hal.archives-ouvertes.fr/hal-01973552 ; Human-Agent Interaction, Dec 2018, Southampton, United Kingdom. ⟨10.1145/123_4⟩ (2018)
|
|
BASE
|
|
Show details
|
|
|
| 11 |
Investigating the dimensions of conversational agents' social competence using objective neurophysiological measurements
|
|
|
|
In: 20 ACM Internation Conference on Multimodal Interaction ; https://hal.archives-ouvertes.fr/hal-01973542 ; 20 ACM Internation Conference on Multimodal Interaction, Oct 2018, Boulder, United States. pp.1-7, ⟨10.1145/3281151.3281162⟩ (2018)
|
|
BASE
|
|
Show details
|
|
|
| 12 |
Role of prosody on the perception of the " oui " / " yes " feedback in medical context
|
|
|
|
In: Speech Prosody ; https://halshs.archives-ouvertes.fr/halshs-01793218 ; Speech Prosody, 2018, Poznan, Poland (2018)
|
|
BASE
|
|
Show details
|
|
|
| 13 |
Rôle de la prosodie dans la perception du feedback " oui " dans un contexte médical
|
|
|
|
In: WACAI (Workshop sur les “Affects, Compagnons Artificiels et Interactions” (ACAI)) ; https://halshs.archives-ouvertes.fr/halshs-01793222 ; WACAI (Workshop sur les “Affects, Compagnons Artificiels et Interactions” (ACAI)), 2018, Porquerolles, France (2018)
|
|
BASE
|
|
Show details
|
|
|
| 14 |
Mining a Multimodal Corpus of Doctor's Training for Virtual Patient's Feedbacks
|
|
|
|
In: 19th International Conference on Multimodal Interaction (ICMI) ; https://hal.archives-ouvertes.fr/hal-01654812 ; 19th International Conference on Multimodal Interaction (ICMI), Nov 2017, Glasgow, United Kingdom. ⟨10.1145/3136755.3136816⟩ (2017)
|
|
BASE
|
|
Show details
|
|
|
| 15 |
Virtual Reality for Training Doctors to Break Bad News
|
|
|
|
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)
|
|
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.
|
|
Keyword:
[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing
|
|
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
|
|
BASE
|
|
Hide details
|
|
|
| 16 |
Virtual Patient for Training Doctors to Break Bad News
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
|
|
|
