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Socio-conversational AI: integrating the socio-emotional component in neural models| title | Socio-conversational AI: integrating the socio-emotional component in neural models |
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| start_date | 2023/02/03 |
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| schedule | 11h |
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| online | yes |
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| location_info | Big Blue Button |
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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 within the Social Computing team at Telecom-Paris to develop Machine/Deep Learning models for modelling 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 | Bawden |
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Workflow history| from state (1) | to state | comment | date |
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| submitted | published | | 2023/01/26 13:34 UTC |
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