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Towards Socially and Emotionally Believable ICT Interfaces

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Progresses in Artificial Intelligence and Neural Systems

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 184))

Abstract

In order to realize an artificial intelligence focused on human needs, it is necessary to identify the interactional characteristics that describe human mood, social behavior, beliefs, and experiences. The cross-modal analysis of communicative macro-signals represents the first step in this direction. The second step requires the definition of adequate mathematical representations of these signals to validate them perceptively (on the human side) and computationally.

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References

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Acknowledgments

The research leading to these results has received funding from the EU H2020 research and innovation program under grant agreement No. 769872 (EMPATHIC) and N. 823907 (MENHIR), the project SIROBOTICS that received funding from Italian MIUR, PNR 2015–2020, D.D. 1735, 13/07/2017, and the project ANDROIDS funded by the program V: ALERE 2019 Università della Campania “Luigi Vanvitelli”, D.R. 906 del 4/10/2019, prot. no. 157264,17/10/2019.7.

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Correspondence to Anna Esposito .

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Esposito, A., Faundez-Zanuy, M., Morabito, F.C., Pasero, E. (2021). Towards Socially and Emotionally Believable ICT Interfaces. In: Esposito, A., Faundez-Zanuy, M., Morabito, F., Pasero, E. (eds) Progresses in Artificial Intelligence and Neural Systems. Smart Innovation, Systems and Technologies, vol 184. Springer, Singapore. https://doi.org/10.1007/978-981-15-5093-5_1

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