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Scientific Article details

Title Mobile Application of Registry Information for Urban Planning Context with Augmented Reality and QR Codes
ID_Doc 44523
Authors Mora-Alvarado, M; Llerena-Izquierdo, J
Title Mobile Application of Registry Information for Urban Planning Context with Augmented Reality and QR Codes
Year 2022
Published
DOI 10.1007/978-3-030-99170-8_3
Abstract Augmented reality technologies present a different experience from the real thing. Using new technologies for management activities in urban environments represents a change of bet on the digital development of a city. This work presents a prototype of a mobile application for obtaining housing registry information through augmented reality and QR codes. The objective of the study is to develop a tool for the generation of authorized public information on housing in the city of Guayaquil, Ecuador, in an interactive way using a combination of new technologies as a management strategy in the context of urban planning. The research methodology is a quantitative, quasi-experimental approach. It uses the survey technique to determine the perception of the use of the mobile application and the levels of satisfaction of 400 inhabitants of the urban sector of the city of Guayaquil. With a confidence percentage of 95% and a margin of error of 4.905%, the study reveals an 88% interest in the use of the application by the participants and an 84% ease of use of the BuildingQR mobile application in its first version. The data and results are available at https://github.com/mmoraa25/Building_QR. The level of satisfaction with the proposal exceeds 90% in the medium. It is concluded that new technologies allow new experiences that complement the development of smart cities by breaking the barriers of digitization. The scope of applicability of this research work to territories or pre-divisions in rural sectors is foreseen for future works.
Author Keywords Augmented reality; Mobile apps; QR code; Urban planning; Smart city
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Conference Proceedings Citation Index - Science (CPCI-S)
EID WOS:000783768000003
WoS Category Computer Science, Information Systems; Computer Science, Theory & Methods
Research Area Computer Science
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