Big Data Visualization for the Internet of Things: Opportunities and Challenges with Human Factors

Big data and the Internet of Things (IoT) are drawing widespread research interests across multiple areas, along with the systematic analytics supporting the decision-making process. Big data visualization opens up utilization for analyzing the IoT data, in which various data sources from sensors, services, and devices are combined into a single-layered visual interface, improving understanding of the large-scale data collected. This paper focuses on the cross-section in terms of visualization between big data and IoT with human factors. In more detail, this work aims to introduce the importance of big data visualization in IoT development, as well as present the opportunities in the near future and complex research challenges to be addressed. The interdisciplinary nature of big data and IoT is emphasized, presented in various visualization applications in multiple aspects regarding direct human factors and benefits such as disaster situational awareness, security and user privacy, journalism, and social media influence.