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Socio-conversational AI: Modelling the socio-emotional component of interactions using neural modelstitle | Socio-conversational AI: Modelling the socio-emotional component of interactions using neural models |
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start_date | 2023/11/17 |
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schedule | 09h30-11h |
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online | no |
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location_info | Salle non précisée |
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details | D4 Seminar |
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summary | A single lack of social tact on the part of a conversational system (chatbot, voice assistant, social robot) can cause the user’s trust and engagement with the interaction to drop. This lack of social intelligence affects the willingness of a large audience to view conversational systems as acceptable. To understand the state of the user, the current affective/social computing research community has drawn on research in artificial intelligence and the social sciences. However, in recent years, the trend has shifted towards a monopoly of deep learning methods, which are quite powerful but opaque and greedy for annotated data and less suitable for integrating social science knowledge. I will present here the research we are doing to develop Machine/Deep Learning models for modeling the social component of interactions. In particular, I will focus on research aimed at improving the explainability of the models as well as their transferability to new data and new socio-emotional phenomena. |
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responsibles | Dutech |
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Workflow historyfrom state (1) | to state | comment | date |
submitted | published | | 2023/11/09 15:10 UTC |
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