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A multi-level localization system for intelligent user interfaces

: Heinz, Mario; Büttner, Sebastian; Wegerich, Martin; Marek, Frank; Röcker, Carsten


Streitz, Norbert (Ed.):
Distributed, ambient and pervasive interactions. 5th International Conference, DAPI 2018. Pt.2: Technologies and contexts : Held as part of HCI International 2018, Las Vegas, NV, USA, July 15-20, 2018; Proceedings
Cham: Springer International Publishing, 2018 (Lecture Notes in Computer Science 10922)
ISBN: 978-3-319-91130-4 (Print)
ISBN: 978-3-319-91131-1 (Online)
International Conference on Distributed, Ambient, and Pervasive Interactions (DAPI) <6, 2018, Las Vegas/Nev.>
International Conference on Human-Computer Interaction (HCI International) <20, 2018, Las Vegas/Nev.>
Fraunhofer IOSB ()

The localization of employees in the industrial environment plays a major role in the development of future intelligent user interfaces and systems. Yet, localizing people also raises ethical, legal and social issues. While a precise localization is essential for context-aware systems and real-time optimization of processes, a permanently high localization accuracy creates opportunities for surveillance and therefore has a negative impact on workplace privacy. In this paper, we propose a new concept of a multi-level localization system which tries to find a way to meet both the technical requirements for a localization with a high accuracy as well as the interests of employees in terms of privacy. Depending on the users-location, different localization technologies are used, that restrict the accuracy to the least required level by design. Furthermore, we present a prototypical implementation of the concept that shows the feasibility of our multi-level localization concept. Using this system, intelligent systems become able to react on employees based on their location without permanently monitoring the precise user location.