Session overview: Adaptation strategies and adaptation management

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Abstract

Researchers in the field of Augmented Cognition (AugCog) have often focused on detecting and classifying cognitive problem states (e.g. via physiological sensors). Yet, knowing what cognitive state to address through adaptation is merely a first step to building an adaptive system. The next steps – to determine what to adapt and how to do it – are just as interesting and challenging. There is great untapped potential in the adaptation component, yet it has been underrepresented and underappreciated in the AugCog community discourse. The goal of this contribution and the associated conference session is to get our community thinking about how to put their cognitive state diagnoses to use in an innovative manner, how to develop innovative adaptation strategies, and how to address adaptation management issues. This session overview lists a number of challenges faced by AugCog researchers with respect to the development of adaptation strategies and adaptation management frameworks. The papers featured in this session encompass a diverse set of approaches and ideas to address these challenges.

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APA

Fuchs, S. (2018). Session overview: Adaptation strategies and adaptation management. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10915 LNAI, pp. 3–8). Springer Verlag. https://doi.org/10.1007/978-3-319-91470-1_1

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