Visualizing Information Retrieved from (Large) WHAT Networks

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Abstract

At INTERACT 2017 the organizers of this workshop had organized a very successful workshop called “Beyond Computers: Wearables, Humans, And Things – WHAT!” (The terms WHAT or WHAT! (Wearables, Humans, And Things) were coined by Nahum Gershon and Steve Mann [e.g., see “Wearables, Humans, And Things: The Veillance Games People Play”, IEEE-GEM 2015, or “Wearables, Humans, and Things as a Single Ecosystem!”, IEEE Internet of Things 2015].) Following that workshop, which focused on new and emerging WHAT technologies themselves, in this workshop, we want to address networks of WHATs as well as visualization- and interaction-technologies to deal with data emerging from these networks. Using WHATs as sensors, large networks of these provide large amounts of information. Such networks can range e.g. from smartwatches monitoring and transmitting the health status of participants in a fun run via smart tags monitoring and transmitting the storage conditions of perishable foods up to large networks of smart sensors monitoring environmental conditions in some urban or industrial environment. The large amounts of data generated from such networks need new paradigms for retrieving relevant information. In this workshop, we want to discuss such new paradigms for interacting with data generated from large networks of WHATs as well as new methods of information visualization to utilize these sensor data. Furthermore, utilizing WHATs themselves as means for interaction with and visualizing information contained in these large amounts of data will be a topic of this workshop.

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van der Veer, G., Ebert, A., Gershon, N., & Dannenmann, P. (2019). Visualizing Information Retrieved from (Large) WHAT Networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11749 LNCS, pp. 735–740). Springer Verlag. https://doi.org/10.1007/978-3-030-29390-1_72

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