Recent technological and organisational advances have enabled more sophisticated remote access and proactive monitoring of the infrastructure in various industrial sectors and domains. These domains can be classified into two groups: closed environment systems such as in manufacturing, undersea, petro-chemical and space exploration and open environment systems such as civil infrastructures, water and sewage, service providers and transportation. These domains are similar in the way that they all have highly complex and intertwined components that generate condition-based symptoms. If managed properly the information can enable operators to assess the situation and diagnose potential problems early enough to allow better planned use and maintenance, less disruption and fewer catastrophic failures (Aktan et al., 1998). Open environments present additional challenges since their components are geographically dispersed; they have various different types of stakeholders and people interacting with the systems and are very demanding in terms of human resources (Fernandez and Marquez, 2009). These components and challenges have been identified within communities other than human factors and it is a surprise that little human factors work to date has been carried out to identify issues associated with Intelligent Infrastructure and develop consequent guidance for system design and implementation.