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MobiDiC : context adaptive digital signage with coupons

Title data

Müller, Jörg ; Krüger, Antonio:
MobiDiC : context adaptive digital signage with coupons.
In: Tscheligi, Manfred ; de Ruyter, Boris ; Markopoulos, Panos ; Wichert, Reiner ; Mirlacher, Thomas (ed.): Ambient intelligence. - Berlin ; Heidelberg : Springer , 2009 . - pp. 24-33 . - (Lecture Notes in Computer Science ; 5859 )
ISBN 978-3-642-05407-5
DOI: https://doi.org/10.1007/978-3-642-05408-2_3

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Abstract in another language

In this paper we present an approach to automatically tailor content on digital signage to the context. In a feedback loop, the signs sense their environment; decide which content to show, and then sense the audience reaction to the content shown. From this audience measurement, the strategies which content to show in which situation are refined. As one instantiation of audience measurement, we propose a novel simple couponing system, where customers can photograph the coupons at the signs. Thus, it can be measured whether customers really went to the shop. To investigate the feasibility of this approach, we implemented a prototype of 20 signs in the city center of Münster, Germany. During one year of deployment, we investigated usage of the system through interviews with shop owners and customers. Our experiences show that customer attention towards the signs is a major hurdle to overcome.

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
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Lehrstuhl Angewandte Informatik VIII
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works
Date Deposited: 16 Jan 2019 09:42
Last Modified: 16 Jan 2019 09:42
URI: https://eref.uni-bayreuth.de/id/eprint/42052