Toward personalized public transportation recommendation system with adaptive user interface

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

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

2 被引用数 (Scopus)

抄録

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 points of views of usabilities: click costs and time costs. The experimental results illustrate the effectiveness of AUI of Patrash.

本文言語英語
ホスト出版物のタイトルProceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014
出版社Institute of Electrical and Electronics Engineers Inc.
ページ103-108
ページ数6
ISBN(電子版)9781479941735
DOI
出版ステータス出版済み - 1 1 2014
イベント3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014 - Kitakyushu, 日本
継続期間: 8 31 20149 4 2014

出版物シリーズ

名前Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014

その他

その他3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014
Country日本
CityKitakyushu
Period8/31/149/4/14

All Science Journal Classification (ASJC) codes

  • Information Systems

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