Making Digital Signage Adaptive through a Genetic Algorithm - Utilizing Viewers’ Involuntary Behaviors

Ken Nagao, Issei Fujishiro

Abstract

Digital signage has been becoming more popular due to the recent development of underlying hardware technology and improvement in installing environments. In digital signage, it is important to make the content more attractive to the viewers by evaluating its current attractiveness on the fly, in order to deliver the message from the sender more effectively. Most previous works for this evaluation do not take the viewers’ feeling towards the content into account, and the content is improved manually if needed in an off-line manner. In this paper, we present a novel method which does not rely on such manual evaluation and automatically makes the content more adapted to the viewers. To this end, we take advantage of the viewers’ involuntary behaviors in front of the digital signage for online updates through the usage of a genetic algorithm.

References

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Paper Citation


in Harvard Style

Nagao K. and Fujishiro I. (2013). Making Digital Signage Adaptive through a Genetic Algorithm - Utilizing Viewers’ Involuntary Behaviors . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-48-8, pages 54-59. DOI: 10.5220/0004346100540059


in Bibtex Style

@conference{visapp13,
author={Ken Nagao and Issei Fujishiro},
title={Making Digital Signage Adaptive through a Genetic Algorithm - Utilizing Viewers’ Involuntary Behaviors},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={54-59},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004346100540059},
isbn={978-989-8565-48-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)
TI - Making Digital Signage Adaptive through a Genetic Algorithm - Utilizing Viewers’ Involuntary Behaviors
SN - 978-989-8565-48-8
AU - Nagao K.
AU - Fujishiro I.
PY - 2013
SP - 54
EP - 59
DO - 10.5220/0004346100540059