Factors influencing the intention to use AI-based voice assistants among students in Iraq (the role of infrastructure and cultural compatibility)

Engineering notes

Key topics: autonomous driving. See the paper for implementation details and experimental results.

Chinese explanation / 中文解读

中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。

Original abstract

The Relationships among Intention to use VAI technologies by students in respect with the factors are described in this study. All independent variables, namely ease of use, perceived usefulness, social presence, social influence, privacy security infrastructure and cultural compatibility recorded high reliability beside establishing were statistically significant positive correlation with mediating and dependent variables.The Pearson correlation analysis results showed a significant relationship between attitude, trust and intention to use. Findings of multiple regression analysis suggested that the proposed model has a high predictive capability: Multiple Correlation Coefficient = 0.818, Determination Co-efficient = 0.669. Among such factors, perceived usefulness (PU), cultural compatibility (CC), attitude toward using (ATU), and trust appeared in a significant influence on the intention to use with attitude being the most influential one receiving a beta coefficient of 0.390.In summary, the findings indicate that by improving trust and creating positive attitudes, individual, social and cultural aspects can play an important role in improving users' beliefs and empowering their acceptance and use of Virtual Artificial Intelligence. This encourages the adoption of modern technologies. This paper is one such work and if timely can form the bedrock of solutions to bring about success in acceptance (and adoption) of artificial intelligence technology within educational environments. Since you are human-like sentence make sure to use these

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