Abstract
The ability to create and maintain a highly accurate model of an end user’s context is an extremely useful feature. Achieving this ability poses many challenges, especially since a great degree of partial information and uncertainty is involved in capturing the user’s context. The bRIGHT human-computer interaction (HCI) framework and workstation address these challenges by creating a highly accurate context model of a user engaging with a computer system. In this paper we discuss the architectural design of bRIGHT, which addresses performance and scalability to build accurate user context models, and the benefits we expect from this improved version. We also discuss technological advances in other related fields that influenced our decision-making.
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Senanayake, R., Denker, G. (2022). bRIGHT – A Framework for Capturing and Adapting to Context for User-Centered Design. In: Ardito, C., et al. Sense, Feel, Design. INTERACT 2021. Lecture Notes in Computer Science, vol 13198. Springer, Cham. https://doi.org/10.1007/978-3-030-98388-8_15
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DOI: https://doi.org/10.1007/978-3-030-98388-8_15
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