Toward personalized public transportation recommendation system with adaptive user interface

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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

Original languageEnglish
Title of host publicationProceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages103-108
Number of pages6
ISBN (Electronic)9781479941735
DOIs
Publication statusPublished - Jan 1 2014
Event3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014 - Kitakyushu, Japan
Duration: Aug 31 2014Sep 4 2014

Publication series

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

Other

Other3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014
CountryJapan
CityKitakyushu
Period8/31/149/4/14

Fingerprint

Recommender systems
User interfaces
Costs

All Science Journal Classification (ASJC) codes

  • Information Systems

Cite this

Nakamura, H., Gao, Y., Gao, H., Zhang, H., Kiyohiro, A., & Mine, T. (2014). Toward personalized public transportation recommendation system with adaptive user interface. In Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014 (pp. 103-108). [6913275] (Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IIAI-AAI.2014.31

Toward personalized public transportation recommendation system with adaptive user interface. / Nakamura, Hiroyuki; Gao, Yuan; Gao, He; Zhang, Hongliang; Kiyohiro, Akifumi; Mine, Tsunenori.

Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 103-108 6913275 (Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nakamura, H, Gao, Y, Gao, H, Zhang, H, Kiyohiro, A & Mine, T 2014, Toward personalized public transportation recommendation system with adaptive user interface. in Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014., 6913275, Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014, Institute of Electrical and Electronics Engineers Inc., pp. 103-108, 3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014, Kitakyushu, Japan, 8/31/14. https://doi.org/10.1109/IIAI-AAI.2014.31
Nakamura H, Gao Y, Gao H, Zhang H, Kiyohiro A, Mine T. Toward personalized public transportation recommendation system with adaptive user interface. In Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 103-108. 6913275. (Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014). https://doi.org/10.1109/IIAI-AAI.2014.31
Nakamura, Hiroyuki ; Gao, Yuan ; Gao, He ; Zhang, Hongliang ; Kiyohiro, Akifumi ; Mine, Tsunenori. / Toward personalized public transportation recommendation system with adaptive user interface. Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 103-108 (Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014).
@inproceedings{ce2ec726d1c54955940f1122feaa76cd,
title = "Toward personalized public transportation recommendation system with adaptive user interface",
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 points of views of usabilities: click costs and time costs. The experimental results illustrate the effectiveness of AUI of Patrash.",
author = "Hiroyuki Nakamura and Yuan Gao and He Gao and Hongliang Zhang and Akifumi Kiyohiro and Tsunenori Mine",
year = "2014",
month = "1",
day = "1",
doi = "10.1109/IIAI-AAI.2014.31",
language = "English",
series = "Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "103--108",
booktitle = "Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014",
address = "United States",

}

TY - GEN

T1 - Toward personalized public transportation recommendation system with adaptive user interface

AU - Nakamura, Hiroyuki

AU - Gao, Yuan

AU - Gao, He

AU - Zhang, Hongliang

AU - Kiyohiro, Akifumi

AU - Mine, Tsunenori

PY - 2014/1/1

Y1 - 2014/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84918590790&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84918590790&partnerID=8YFLogxK

U2 - 10.1109/IIAI-AAI.2014.31

DO - 10.1109/IIAI-AAI.2014.31

M3 - Conference contribution

AN - SCOPUS:84918590790

T3 - Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014

SP - 103

EP - 108

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

PB - Institute of Electrical and Electronics Engineers Inc.

ER -