Abstract
There is always a component of the field of Human-Machine Interactions (HMI) which constantly tries to provide solutions to the problems relating to adaptation, in order to move towards more ergonomic approaches and more flexible and adaptive tools. It is in this context that this research work is taking place, which will consider an adaptation of User Interfaces (UIs) guided by the results of the analysis of user feelings and this, by adopting a new approach based on Multi-Agent System (MAS) and Deep Learning. To implement this approach, a system admitting a first component as a dynamic Django web application and a second component which corresponds to a SPADE Multi-Agent System, has been produced and tested and has shown effective and interesting experimental results.
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Maaloul, A., Nouri, H.E., Trifa, Z., Belkahla Driss, O. (2022). Adaptation of HMIs According to Users’ Feelings Based on Multi-agent Systems. In: Fujita, H., Fournier-Viger, P., Ali, M., Wang, Y. (eds) Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence. IEA/AIE 2022. Lecture Notes in Computer Science(), vol 13343. Springer, Cham. https://doi.org/10.1007/978-3-031-08530-7_35
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