Adaptive user interface for personalized transportation guidance system

Hiroyuki Nakamura, Yuan Gao, He Gao, Hongliang Zhang, Akifumi Kiyohiro, Tsunenori Mine

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


Public transportation guidance services, such asYahoo, Jorudan andNAVITIME, 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 anAdaptiveUser 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.

Original languageEnglish
Pages (from-to)119-134
Number of pages16
JournalIntelligent Systems Reference Library
Publication statusPublished - 2015

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Information Systems and Management
  • Library and Information Sciences


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