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The main theme of the research at CHIL is "Cognitive Science applied to human-computer interaction (HCI)." Research is concerned with the psychological processes underlying the interaction of people with man-made systems, particularly computer systems, with the ultimate goal of developing engineering models of human performance that can aid in the design of real-world systems. This work spans a broad spectrum of investigation, from the most coarse explorations of users' work environments (e.g. what are the tasks people perform?) to detailed analysis of the temporal microstructure of human performance (e.g. what eye movements do people make when they select from simple menus?).
We are always looking for bright, eager students--both graduate and undergraduate--who are interested in research in these areas, regardless of original academic background. Because of the technical nature of the work, however, people with backgrounds in psychology and computer science are particularly well-suited to this type of research. However, people with backgrounds from other disciplines are certainly welcome as well. If you are interested in becoming involved in research at CHIL, please get in touch with Mike Byrne immediately.
The Human-Automation Collaboration (HAC) Lab at Rice University, directed by Dr. Jing Chen, focuses on how humans interact with automated systems, ranging from semi-autonomous vehicles to cybersecurity systems, and how to design this interaction for system safety and security and security. Specifically, our research focuses on human trust, human vigilance, decision-making, and risk communication, as well as design considerations to better assist users in their goals.
Our mission is to understand the factors that influence human performance and decision-making, apply these understandings to solve practical problems, such as risk communication in cyberspace and safety issues in human-automation systems, and eventually make people’s lives better!
Dr. Chen is accepting new PhD students starting in Fall 2024. Please review information on the Application Process and apply if you are interested. Feel free to contact Dr. Chen if you have any questions.
Dr. Kortum's lab research is interested in a number of applied human factors issues. Currently, his primary interests are in the research and development of highly usable systems in the medical, voting, and mobile computing domains and in the characterization of measures of usability and usable systems. With respect to voting systems for example, this may include how users interact with these systems, what kinds of errors they make, and how we might design secure voting systems that are highly usable by the general population and those votes who may have physical disabilities.
These labs contain a variety of tools that allow the prototyping of visual and auditory interfaces, as well as the space to run experiments evaluating these interfaces. Much of the research in the Human Factors Research Lab takes place in the field, and so extensive facilities are not always required.
We are a group of interdisciplinary researchers with expertise spanning industrial/organizational psychology, human factors/human-computer interaction, training, and other fields. MET uses evidence-based science to improve teamwork and training in individual and organizational contexts.
Our laboratory primarily conducts research concerning teamwork, leadership, and training. As interdisciplinary researchers, our expertise spans multiple areas including industrial/organizational psychology, human factors/human-computer interaction, training, organizational behavior, and other fields. We work with multiple outside collaborators, such as the National Aeronautics and Space Administration (NASA) and the Army Research Laboratory (ARL). MET uses evidence-based science to improve teamwork and training in individual and organizational contexts as we are dedicated to improving the overall effectiveness and resilience of individuals, teams, and organizations.
The perception and action lab is run by Dr. Patricia DeLucia. In this lab, we look at perceptual and cognitive factors that affect how people interact with their environment. Some of the current research being conducted in the lab is human factors in transportation (e.g., pedestrian street-crossing, perception of collision for drivers in traffic environments), healthcare (e.g., mental workload in nursing, virtual care models in hospitals), and vigilance decrement for vibrotactile and multisensory displays.