Despite long-standing practices in human augmentation, the field of Augmented Cognition still lacks a generalized ‘theory of augmentation’ which guides the selection of such augmentations. We do not yet have a taxonomy that could help understand which augmentation to use to address which type of cognitive problem. By reviewing past applications of cognitive augmentation, this paper provides a framework that helps navigating the growing knowledge and guides the selection of cognitive-enhancing augmentations. Like a compass, the proposed taxonomy can be used to map previous steps in the field, to navigate the current state of the art, and to orient future research directions.
CITATION STYLE
Felicini, N., & Mortara, L. (2023). Augmented Cognition Compass: A Taxonomy of Cognitive Augmentations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 14019 LNAI, pp. 189–205). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-35017-7_13
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