Adaptive User Interface for Personalized Transportation Guidance System

  • Hiroyuki NakamuraEmail author
  • Yuan Gao
  • He Gao
  • Hongliang Zhang
  • Akifumi Kiyohiro
  • Tsunenori Mine
Part of the Intelligent Systems Reference Library book series (ISRL, volume 90)


Public transportation guidance services, such as Yahoo, Jorudan and NAVITIME, are widely used nowadays and support our daily lives. Although they provide useful services, they have not fully been personalized yet. This paper presents a personalized transportation system called PATRASH: Personalized Autonomous TRAnsportation recommendation System considering user context and History. In particular, we discuss an Adaptive User Interface (AUI) of PATRASH. Before designing a personalized route recommendation function for PATRASH’s AUI, we investigated possibilities and effectiveness of the function. First, we collected and analyzed 10 subjects’ usage histories of public transportation. Through this investigation, we confirmed the possibilities and effectiveness of the personalized route recommendation function. Second, we investigated the effectiveness of the basic functions of PATRASH’s AUI by comparing with two major transportation guidance systems in Japan. We evaluated those systems from the point of view of usabilities: click costs and time costs. The experimental results illustrate the effectiveness of AUI of PATRASH.


Public Transportation Display Size Arrival Station Train Station User Context 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



This work was supported in part by NEDO under the METI of Japan, and JSPS KAKENHI Grant Number 26350357 and 26540183.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Hiroyuki Nakamura
    • 1
    Email author
  • Yuan Gao
    • 1
  • He Gao
    • 1
  • Hongliang Zhang
    • 1
  • Akifumi Kiyohiro
    • 1
  • Tsunenori Mine
    • 1
    • 2
  1. 1.Graduate School of Information Science and Electrical EngineeringKyushu UniversityFukuokaJapan
  2. 2.Faculty of Information Science and Electrical EngineeringKyushu UniversityFukuokaJapan

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