Improving structured content design of digital signage evolutionarily through utilizing viewers' involuntary behaviors

Ken Nagao, Issei Fujishiro

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Digital signage has been getting more popularity due to the recent development of underlying hardware technology and improvement in installing environments. Any signage is required to make its content more attractive to viewers by evaluating the current attractiveness on the fly, in order to deliver the message from the sender more effectively. However, most previous methods for signage require time to reflect the viewers' evaluations. In this paper, we present a novel, viewer-adaptive digital signage displaying academic conference posters, which automatically learns what structure and content are being attractive through the viewers' involuntary behaviors, and makes them more adapted to the viewers. This system takes away the current gap between viewers' evaluations and the content actually displayed on digital signage, and makes efficient mutual transmission of information between the cyber world and the reality.

Original languageEnglish
Title of host publicationProceedings - 2013 International Conference on Cyberworlds, CW 2013
PublisherIEEE Computer Society
Pages108-115
Number of pages8
ISBN (Print)9781479922451
DOIs
Publication statusPublished - 2013 Jan 1
Event2013 International Conference on Cyberworlds, CW 2013 - Yokohama, Japan
Duration: 2013 Oct 212013 Oct 23

Publication series

NameProceedings - 2013 International Conference on Cyberworlds, CW 2013

Other

Other2013 International Conference on Cyberworlds, CW 2013
CountryJapan
CityYokohama
Period13/10/2113/10/23

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Keywords

  • Digital signage
  • Genetic algorithm
  • Human behavior recognition
  • Image processing

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Nagao, K., & Fujishiro, I. (2013). Improving structured content design of digital signage evolutionarily through utilizing viewers' involuntary behaviors. In Proceedings - 2013 International Conference on Cyberworlds, CW 2013 (pp. 108-115). [6680101] (Proceedings - 2013 International Conference on Cyberworlds, CW 2013). IEEE Computer Society. https://doi.org/10.1109/CW.2013.68