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Learning topologies of situated public displays by observing implicit user interactions

Title data

Müller, Jörg ; Krüger, Antonio:
Learning topologies of situated public displays by observing implicit user interactions.
In: Stephanidis, Constantine (ed.): Universal Access in Human-Computer Interaction : Ambient Interaction. Proceedings, Part II. - Berlin : Springer , 2007 . - pp. 158-167 . - (Lecture Notes in Computer Science ; 4555 )
ISBN 978-3-540-73280-8
DOI: https://doi.org/10.1007/978-3-540-73281-5_17

Abstract in another language

In this paper we present a procedure to learn a topological model of Situated Public Displays from data of people traveling between these displays. This model encompasses the distance between different displays in seconds for different ways and/or different travel modes. It also shows how many people travel between displays in each direction. Thus, the model can be used to predict where and when people will appear next after showing up in front of one display. This can be used for example to create continuous ‘shows’ spanning multiple displays while people pass them. To create the model, we use Bluetooth connection data of mobile phones people carry, and employ the EM algorithm to estimate mean travel times for different paths people take.

Further data

Item Type: Article in a book
Refereed: Yes
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Lehrstuhl Angewandte Informatik VIII > Lehrstuhl Angewandte Informatik VIII - Univ.-Prof. Dr. Jörg Müller
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works
Date Deposited: 18 Jan 2019 07:20
Last Modified: 18 Jan 2019 07:24
URI: https://eref.uni-bayreuth.de/id/eprint/42084