Abstract
One of the main challenges of Human Computer Interaction researches is to improve naturalness of the user's interaction process. Currently two widely investigated directions are the adaptivity and the multimodality of interaction. Starting from the adaptivity concept, the paper provides an analysis of methods that make multimodal interaction adaptive respect to the final users and evolutionary over time. A comparative analysis between the concepts of adaptivity and evolution, given in literature, is provided, highlighting their similarities and differences and an original definition of evolutionary multimodal interaction is provided. Moreover, artificial intelligence techniques, quantum computing concepts and evolutionary computation applied to multimodal interaction are discussed. © 2012 Springer-Verlag.
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Caschera, M. C., D’Ulizia, A., Ferri, F., & Grifoni, P. (2012). Towards evolutionary multimodal interaction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7567 LNCS, pp. 608–616). https://doi.org/10.1007/978-3-642-33618-8_80
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