購買意欲の変化を考慮したデジタルサイネージによる複数回のコンテンツ選択

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2024/12/01

タイトル(英語): Multiple Content Selections Using Digital Signage Considering Changes in Purchasing Intentions

著者名: 前田　康成（北見工業大学地域未来デザイン工学科）

著者名(英語): Yasunari Maeda (School of Regional Innovation and Social Design Engineering, Kitami Institute of Technology)

キーワード: デジタルサイネージ，複数回のコンテンツ選択，購買意欲，センサー，統計的決定理論　　digital signage，multiple content selections，purchasing intention，sensor，statistical decision theory

要約(英語): There is a lot of previous research on sales promotion strategy using digital signage. Maximization of expected sales is one of important topics on sales promotion strategy using digital signage. In the previous research, maximization of expected sales considering changes in purchasing intentions for one content selection has been studied. The previous method can not be applied to multiple content selections. In this research, maximization of expected sales considering changes in purchasing intentions for multiple content selections is studied. In the proposed method, the expected sales amount is maximized with respect to a Bayes criterion based on statistical decision theory. The effectiveness of the proposed method is shown by some computational examples. The expected sales amount of the proposed method is greater than that of a comparison target. In this research, the expected sales amount is maximized under the condition that all probabilities are known. But the probabilities are unknown in real cases. An expansion of this research with unknown probabilities is one of further works.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.144 No.12 （2024） 特集：電気・電子・情報関係学会東海支部連合大会

本誌掲載ページ: 1230-1237 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/144/12/144_1230/_article/-char/ja/