文化大學機構典藏 CCUR:Item 987654321/53938
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    Please use this identifier to cite or link to this item: https://irlib.pccu.edu.tw/handle/987654321/53938


    Title: A Study on Users' Attitudes Towards Parking Lot Application: A Case Study of Taipei
    Authors: Yang, Qiao -Yu
    Lee, Yih-Jiun
    李亦君
    Contributors: 資訊傳播學系
    Dept. Of Information Communications
    Keywords: Deep Learning;;;;
    Mobile Parking App
    Open Data
    Recommendation System
    User Interface
    User-Centered Design
    Date: 2024
    Issue Date: 2025-03-11 10:51:08 (UTC+8)
    Publisher: IEEE Computer Society
    Abstract: To help drivers avoid wasting excessive time searching for parking spaces, this study will use open data on parking lots provided by the Taipei City government as a case study. By integrating artificial intelligence for deep learning of user preferences and combining it with map navigation functions, the app will recommend the most suitable parking lots to users. The application interface will be designed with a user-centered approach to enhance readability and reduce the user learning curve.
    Relation: International Conference on ICT Convergence
    Appears in Collections:[Department of Information Communications & Graduate Institute of Information Communications ] conference paper

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