TY - JOUR
T1 - Adaptive user interface for personalized transportation guidance system
AU - Nakamura, Hiroyuki
AU - Gao, Yuan
AU - Gao, He
AU - Zhang, Hongliang
AU - Kiyohiro, Akifumi
AU - Mine, Tsunenori
N1 - Funding Information:
This work was supported in part by NEDO under the METI of Japan, and JSPS KAKENHI Grant Number 26350357 and 26540183.
Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2015.
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
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U2 - 10.1007/978-3-662-47227-9_9
DO - 10.1007/978-3-662-47227-9_9
M3 - Article
AN - SCOPUS:84937948293
SN - 1868-4394
VL - 90
SP - 119
EP - 134
JO - Intelligent Systems Reference Library
JF - Intelligent Systems Reference Library
ER -