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Taxonomy-Based Detection of User Emotions for Advanced Artificial Intelligent Applications

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Hybrid Artificial Intelligent Systems (HAIS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10870))

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Abstract

Catching the attention of a new acquaintance and empathize with her can improve the social skills of a robot. For this reason, we illustrate here the first step towards a system which can be used by a social robot in order to “break the ice” between a robot and a new acquaintance. After a training phase, the robot acquires a sub-symbolic coding of the main concepts being expressed in tweets about the IAB Tier-1 categories. Then this knowledge is used to catch the new acquaintance interests, which let arouse in her a joyful sentiment. The analysis process is done alongside a general small talk, and once the process is finished, the robot can propose to talk about something that catches the attention of the user, hopefully letting arise in him a mix of feelings which involve surprise and joy, triggering, therefore, an engagement between the user and the social robot.

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Correspondence to Giovanni Pilato .

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Cuzzocrea, A., Pilato, G. (2018). Taxonomy-Based Detection of User Emotions for Advanced Artificial Intelligent Applications. In: de Cos Juez, F., et al. Hybrid Artificial Intelligent Systems. HAIS 2018. Lecture Notes in Computer Science(), vol 10870. Springer, Cham. https://doi.org/10.1007/978-3-319-92639-1_48

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  • DOI: https://doi.org/10.1007/978-3-319-92639-1_48

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-92639-1

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