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Tourism Informatics pp 119–134Cite as

Adaptive User Interface for Personalized Transportation Guidance System

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Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 90))

Abstract

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.

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Acknowledgments

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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Authors and Affiliations

  1. Graduate School of Information Science and Electrical Engineering, Kyushu University, 744 Motooka Nishi-ku, Fukuoka, Japan

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

  2. Faculty of Information Science and Electrical Engineering, Kyushu University, 744 Motooka Nishi-ku, Fukuoka, Japan

    Tsunenori Mine

Authors
  1. Hiroyuki Nakamura
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  2. Yuan Gao
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  3. He Gao
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  4. Hongliang Zhang
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  5. Akifumi Kiyohiro
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  6. Tsunenori Mine
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Corresponding author

Correspondence to Hiroyuki Nakamura .

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Editors and Affiliations

  1. Graduate School of Industrial Technology, Advanced Institute of Industrial Technology, Shinagawa, Tokyo, Japan

    Tokuro Matsuo

  2. School Sustainable System Sciences, Osaka Prefecture University, Osaka, Japan

    Kiyota Hashimoto

  3. Department of Wellness Tourism, Josai International University, Chiba, Japan

    Hidekazu Iwamoto

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Nakamura, H., Gao, Y., Gao, H., Zhang, H., Kiyohiro, A., Mine, T. (2015). Adaptive User Interface for Personalized Transportation Guidance System. In: Matsuo, T., Hashimoto, K., Iwamoto, H. (eds) Tourism Informatics. Intelligent Systems Reference Library, vol 90. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47227-9_9

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  • DOI: https://doi.org/10.1007/978-3-662-47227-9_9

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-47226-2

  • Online ISBN: 978-3-662-47227-9

  • eBook Packages: EngineeringEngineering (R0)

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