Practical Technologies for Analysis, Recommendation, and Visualization of User Behavior and Social Environment Data

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  • KAWAI Yukiko
    Graduate School of Frontier Informatics, Kyoto Sangyo University Cyber Media Center, Osaka University
  • LI Da
    Faculty of Engineering, Fukuoka University
  • ONO Shintaro
    Faculty of Engineering, Fukuoka University

Bibliographic Information

Other Title
  • ユーザ行動と社会環境データの分析・推薦・可視化の実践的応用技術

Abstract

<p>The aim of Society 5.0 is to create a human-oriented society that balances economic development and social problem solving using “digital twin”, in which various user behaviors in physical space are replicated in the form of data, analyzed and managed in cyberspace, to a highly level of integration through search and recommendation. We have been studying user behavior data, including SNS data and “review” data along with location information obtained from mobile devices (smartphones), publicly available data on crime, purchases, and infections including time and location information, and geographic data such as Google Street View images and building and road information, in order to develop a system for recommending routes, stores and attractions. We have also conducted research and development on routes, stores, attraction recommendations and hazard area prediction. In this paper, we present the role of digital twin in solving social problems, introduce the basic mechanisms of data collection, management, analysis, and visualization by digital twin using a smartphone device, as well as application technologies that provide a safe and comfortable mobility experience for pedestrians and cyclists using smartphone.</p>

Journal

  • IEICE ESS Fundamentals Review

    IEICE ESS Fundamentals Review 17 (1), 72-80, 2023-07-01

    The Institute of Electronics, Information and Communication Engineers

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