Adaptive User Interface for Personalized Transportation Guidance System

Adaptive User Interface for Personalized Transportation Guidance System
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个性化交通引导系统的自适应用户界面

DOI:
10.1007/978-3-662-47227-9_9
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发表时间:
2015
期刊:
Tourism Informatics
影响因子:
--
通讯作者:
Yuan Gao and He Gao and Hongliang Zhang and Akifumi Kiyohiro and Tsunenori Mine
Yuan Gao and He Gao and Hongliang Zhang and Akifumi Kiyohiro and Tsunenori Mine
中科院分区:
--
文献类型:
--
作者:
Hiroyuki Nakamura;Yuan Gao and He Gao and Hongliang Zhang and Akifumi Kiyohiro and Tsunenori Mine

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如今,雅虎、Jorudan和Navitime等公共交通诱导服务被广泛使用,并支持着我们的日常生活。虽然它们提供了有用的服务,但它们还没有完全个性化。本文提出了一种个性化交通推荐系统PATRASH:考虑用户上下文和历史的个性化自主交通推荐系统。特别讨论了PATRASH的自适应用户界面(AUI)。在为PATRASH的AUI设计个性化路线推荐功能之前,我们调查了该功能的可能性和有效性。首先,我们收集并分析了10名受试者的公共交通使用历史。通过本次调研,验证了个性化路线推荐功能的可行性和有效性。其次,通过与日本两大交通导向系统的比较,考察了PATRASH AUI基本功能的有效性。我们从可用性的角度对这些系统进行了评估:点击成本和时间成本。实验结果证明了PATRASH的AUI的有效性。
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.
自适应用户界面系统的用户、上下文和设备建模
DOI: 10.1007/978-3-319-03176-7_13
发表时间: 2013
期刊: --
影响因子: --
作者:
E. Castillejo;Aitor Almeida;D. López
通讯作者: D. López
处理公交车延误和用户历史以提供个性化交通推荐
DOI: 10.1109/csci.2014.74
发表时间: 2014
期刊: 2014 International Conference on Computational Science and Computational Intelligence
影响因子: --
作者:
Hiroyuki Nakamura;Hongliang Zhang;Yuan Gao;He Gao;Akifumi Kiyohiro;Tsunenori Mine
通讯作者: Tsunenori Mine
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DOI: --
发表时间: 2012
期刊: World Academy of Science, Engineering and Technology, International Journal of Computer, Electrical, Automation, Control and Information Engineering
影响因子: --
作者:
S. Fukuta;Masaki Ito;T. Kawamura;K. Sugahara
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DOI: 10.5220/0002735603650370
发表时间: 2010
期刊: --
影响因子: --
作者:
Björn Zenker;Bernd Ludwig
通讯作者: Bernd Ludwig