Process control such as that in the petrochemical industry is inherently difficult for humans to operate and monitor. Console operators need to manage hundreds of interrelated components using sluggish controls in a high-risk environment. They need to keep the process stable while optimizing production, which puts variables near plant operating limits. Any anomaly or upset has to be resolved quickly before the severity of the problem escalates. All these tasks are performed using a control console called the Distributed Control System (DCS). This project was initiated with the goal of exploring viable information visualizations on DCS displays to support proactive monitoring in console operators. While operators may choose to be alerted of and react to problems through the alarms on the DCS, expert operators prefer to stay proactive, and seize the problem before it disrupts the stability of the process. Being proactive requires prediction, a mental process which is not well understood and difficult to perform accurately. A series of literature reviews was conducted to find out more about the concepts related to the psychology of prediction, followed by various engineering elements, particularly in The author would like to thank some special people: Prof. Martin Helander, who had the major task of supervising this project Prof. Chris Wickens and Dr. Dal-Vernon Reising, who contributed immensely as external knowledge experts Mr. Jason Laberge and Mr. Andrew Trenchard of Honeywell International, as well as Mr. Brian Thompson of Engen Petroleum Ltd., who frequently participated in project discussions and provided insights into process control Mr. Pang Hong-Xiang for his good work as an assistant The good folks at the Centre for Human Factors and Ergonomics at NTU, who gave support in one way or another Parts of this research were supported by the ASM Consortium, a group of leading companies and universities involved with process industries that jointly invest in research and development to create knowledge, tools, and products designed to prevent, detect, and mitigate abnormal situations that affect process safety in the control operations environment. Much of the contributions and collaborations would not have happened without the Consortium's support and sponsorship.