Papers by Youssef Hmamouche
Multimodal Corpus of Bidirectional Conversation of Human-human and Human-robot Interaction during fMRI Scanning (2020.lrec-1)
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Birgit Rauchbauer, Youssef Hmamouche, Brigitte Bigi, Laurent Prévot, Magalie Ochs, Thierry Chaminade
| Challenge: | a study of real-life bi-directional conversations combines multimodal corpus with neural, physiological and behavioral data. |
| Approach: | They propose a multimodal corpus derived from natural conversations . they used human-human interactions as a control condition . |
| Outcome: | The proposed corpus includes neural, physiological and behavioral data. |
BrainPredict: a Tool for Predicting and Visualising Local Brain Activity (2020.lrec-1)
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| Challenge: | Using fMRI, we recorded a corpus of human-human and human-robot conversations while participants brain activity was recorded with f.MRI, but we did not find any tools for displaying together brain activity prediction of non-controlled conversations, the raw material used in this prediction and the features used for these predictions. |
| Approach: | They propose a tool that allows dynamic prediction and visualization of an individual’s local brain activity during a conversation using raw behavioral data. |
| Outcome: | The proposed tool takes as input behavioral features computed from raw data, mainly the participant and the interlocutor speech but also the participant’s visual input and eye movements. |