An Approach to Leverage Artificial Intelligence for Car-Parking Related Mobile Applications

被引：0

作者：

Bisante, Alba ^{[1
]}

Datla, Venkata Srikanth Varma ^{[1
]}

Trasciatti, Gabriella ^{[1
]}

Zeppieri, Stefano ^{[1
]}

Panizzi, Emanuele ^{[1
]}

机构：

[1] Sapienza Univ Rome, Dept Comp Sci, Rome, Italy

来源：

ENGINEERING INTERACTIVE COMPUTER SYSTEMS, EICS 2023 INTERNATIONAL WORKSHOPS AND DOCTORAL CONSORTIUM | 2024年 / 14517卷

关键词：

Artificial Intelligence; Context-Awareness; Implicit Interaction; Machine Learning; Mobile Applications; Task Facilitation; User Feedback;

D O I：

10.1007/978-3-031-59235-5_7

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper describes an approach that combines smartphones, context awareness, implicit interaction, and machine learning to ease the design, distribution, and updating of AI-powered features. By following a series of steps, including identifying user needs, determining the scope of AI intervention, collecting and training data, incorporating user feedback, and continuously updating the model that runs in the smartphone, we design context-aware car parking apps that provide personalized and practical assistance to drivers. The proposed approach is particularly relevant when minimizing distractions and optimizing user support is crucial.

引用

页码：63 / 71

页数：9

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