Abstract
Character Computing is a novel and interdisciplinary field of research based on interactive research between Computer Science and Psychology. To allow appropriate recognition and prediction of human behavior, Character Computing needs to be grounded on psychological definitions of human behavior that consider explicit as well as implicit human factors. The framework that guides Character Computing therefore needs to be of considerable complexity in order to capture the human user’s behavior in its entirety. The question to answer in this chapter is how Character Computing can be empirically realized and validated. The psychologically driven interdisciplinary framework for Character Computing will be outlined and how it is realized empirically as Character Computing platform. Special focus in this chapter is laid on experimental validation of the Character Computing approach including concrete laboratory experiments. The chapter adds to the former chapter which discussed the different steps of the Character Computing framework more broadly with respect to current theories and trends in Psychology and Behavior Computing.
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Acknowledgements
We would like to thank Youssef Abd El Moniem Mohamed (GUC) and Nizar El Hawat (Ulm University) for help with machine learning and Nina Blahak (Ulm University) for help with data collection.
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Herbert, C., El Bolock, A., Abdennadher, S. (2020). A Psychologically Driven, User-Centered Approach to Character Modeling. In: El Bolock, A., Abdelrahman, Y., Abdennadher, S. (eds) Character Computing. Human–Computer Interaction Series. Springer, Cham. https://doi.org/10.1007/978-3-030-15954-2_3
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DOI: https://doi.org/10.1007/978-3-030-15954-2_3
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