首页|University of Salamanca Researchers Add New Data to Research in Artificial Intel ligence (Adoption and use factors of artificial intelligence and big data by cit izens)

University of Salamanca Researchers Add New Data to Research in Artificial Intel ligence (Adoption and use factors of artificial intelligence and big data by cit izens)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Investigators publish new report on ar tificial intelligence. According to news originating from the University of Sala manca by NewsRx correspondents, research stated, “The impact of artificial intel ligence on people’s lives is demonstrated today.” Our news reporters obtained a quote from the research from University of Salaman ca: “Previous literature has shown that the use of a specific technology is dire ctly linked to the individuals’ intention to use it. The aim of this paper is to study the factors that determine the adoption and use of artificial intelligenc e and big data in Spain, using a research model based on the Unified Theory of A cceptance and Use of Technology (UTAUT), proposed by Venkatesh et al. (2003). Th is work addresses the specific gap in the validation of the original theoretical model of UTAUT in two dimensions, with respect to the adoption of artificial in telligence by citizens and with respect to the factors that influence this adopt ion, evaluating the previous ones and proposing some new ones considering the cu rrent context. The methodology used is based on a national survey, and it analyz es the research model using the statistical technique of Partial Least Squares S tructural Equation Modelling (PLS-SEM), which details the mediating and moderati ng relationships between constructs. The results show that Intention to Use has a direct positive influence on the Use of artificial Intelligence and big data, confirming previous literature.”

University of SalamancaArtificial Inte lligenceEmerging TechnologiesMachine LearningTechnology

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(MAY.10)