The relationship between technology trust and behavioral intention to use Metaverse in baby monitoring systems’ design: Stimulus-Organism-Response (SOR) theory
Rabab Ali Abumalloh , Osama Halabi , Mehrbakhsh Nilashi
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引用次数: 0
Abstract
The success of baby monitoring systems is heavily dependent on their design. Well-designed systems can enhance user experience, improve accuracy, and increase trust in the technology. As a collective virtual shared space, the Metaverse technology has the potential to benefit both designers and companies involved in designing baby monitoring systems. The usefulness of the Metaverse is widely investigated in different domains. However, the adoption of the Metaverse in the design of baby monitoring systems has rarely been explored in the previous research. In addition, the integration of the Metaverse in intelligent baby monitoring systems’ design poses significant privacy challenges that need to be addressed. This study, therefore, explores the factors that impact the adoption of the Metaverse in the design of baby monitoring systems. A model is developed and tested using the Stimulus-Organism-Response (SOR) theory. The findings of the study reveal that real-time monitoring, perceived security, ease of use, and personalization positively influence the technology trust in baby monitoring systems’ design. Besides, perceived privacy positively influences the technology trust and Metaverse adoption in baby monitoring systems. On the other hand, safety concerns do not impact the technology trust or the Metaverse adoption in baby monitoring systems’ design.
期刊介绍:
Entertainment Computing publishes original, peer-reviewed research articles and serves as a forum for stimulating and disseminating innovative research ideas, emerging technologies, empirical investigations, state-of-the-art methods and tools in all aspects of digital entertainment, new media, entertainment computing, gaming, robotics, toys and applications among researchers, engineers, social scientists, artists and practitioners. Theoretical, technical, empirical, survey articles and case studies are all appropriate to the journal.