A Semi-autonomous System for Creating a Human-Machine Interaction Corpus in Virtual Reality: Application to the ACORFORMed System for Training Doctors to Break Bad News (L18-1)
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Magalie Ochs, Philippe Blache, Grégoire de Montcheuil, Jean-Marie Pergandi, Jorane Saubesty, Daniel Francon, Daniel Mestre
| Challenge: | Existing methods for training doctors to break bad news are expensive and time consuming. |
| Approach: | They propose a method to collect a corpus of human-machine interactions and then construct a semi-autonomous system based on the collected corpus. |
| Outcome: | The proposed system is based on a corpus-based method to analyze human-machine interactions and then develop fully autonomous prototype. |
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