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Scientific Article details

Title Expected User Acceptance of an Augmented Reality Service for a Smart City
ID_Doc 44899
Authors Rebelo, F; Noriega, P; Oliveira, T; Santos, D; Oliveira, S
Title Expected User Acceptance of an Augmented Reality Service for a Smart City
Year 2018
Published
DOI 10.1007/978-3-319-91806-8_55
Abstract Despite the existence of automatic systems for collecting information about events in the city, without information sharing by citizens, smart city services concepts can hardly success. Thus, the problem is not the existence of technology solutions for smart cities concepts, but how to develop services that will involve citizens to share information about the events in the city. Social psychology theories point out that sense of bellowing, perceived enjoyment, perceived reciprocal benefits, power of knowledge, outcome expectation and perceived status, provides an involvement for citizens to share information and knowledge. In this paper, we propose to relate those theories, with the intension to use a mobile augmented reality service. We created an online survey, based in a scenario with a video, where the participants visualize a character behavior sharing and getting information in the city, using a mobile augmented reality service. The results confirm that the participants accept and want to use a mobile augmented reality service in a smart city, and have been identify the factors that could be more associated with the intention to use the augmented reality technology in the smart city, namely perceived enjoyment, intention to share experience, intention to get knowledge, perceived value, perceived similarity and perceived reciprocal benefits. Exploring those constructs inside gamification solutions in this mobile augmented reality service, is discussed in the conclusion.
Author Keywords Smart city; Technology acceptance; Augmented reality
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Conference Proceedings Citation Index - Science (CPCI-S)
EID WOS:000552683800055
WoS Category Computer Science, Cybernetics; Computer Science, Information Systems
Research Area Computer Science
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