Abstract
In everyday life, sense of humor usually comes through the production of jokes. The ability to be funny or to be amused by a joke is not an easy task for human because of cultural background and their capacity to perceive the ludicrous. This makes it a big challenge for artificial intelligence to imitate this behaviour. It is an advanced capability to create artificial life and interactive robots in particular. This technology could be interesting for many applications such as aerospace. Astronauts are called to stay in space for long periods of time and their emotional state must be monitored through interactions in order to keep stress and anxiety levels very low. Laughter can be part of the solution, especially since it comes from a machine. In this paper, we propose a machine learning based architecture to allow a machine not only understand jokes but also to generate them automatically according to discourse context. Moreover, multiple scenarios are evaluated to test the feasibility of our approach: emotional response to jokes during human machine interaction and autonomic robot reactions when reading a book or watching funny TV series.
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Benazzouz, Y., Boudour, R. (2021). How to Make Artificial Intelligence Self Manifest the Sense of Humour. In: Arai, K. (eds) Advances in Information and Communication. FICC 2021. Advances in Intelligent Systems and Computing, vol 1364. Springer, Cham. https://doi.org/10.1007/978-3-030-73103-8_72
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DOI: https://doi.org/10.1007/978-3-030-73103-8_72
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