Abstract
New technologies for monitoring biological and visual user data can be exploited to determine the current and changing emotional user states in HCI. This paper discusses SitAdapt, a flexible software architecture for situation analytics that evaluates various visual and biological signals and synchronizes them with eye-tracking and application meta-data in order to arrive at sound decisions for runtime adaptation of the interactive system in use. The SitAdapt system accesses the tools and resource repositories of the model- and pattern-based PaMGIS development framework.
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CITATION STYLE
Herdin, C., Märtin, C., & Forbrig, P. (2017). SitAdapt: An architecture for situation-aware runtime adaptation of interactive systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10271, pp. 447–455). Springer Verlag. https://doi.org/10.1007/978-3-319-58071-5_33
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