A hospital’s intensive care unit (ICU) can be a very busy place. Time is of the essence when treating patients, yet time is a limited commodity for ICU nurses. They treat patients, fill out paperwork, talk with patients’ families and much more every day. But time spent not treating patients hinders patient care. And in […]
Study: Drivers Experience Four Levels of Attentive ‘Gaze’ in Response to Alerts From Pre-crash Warning Systems
Drivers experience four levels of attentive ‘gaze’ in pre-crash warning systems from Mizzou News on Vimeo. A collision avoidance system, or pre-crash alert generated by a vehicle, can often be found as an optional safety feature in today’s vehicles to help reduce possible accidents and save lives. However, these systems are not always tested in […]
The goal is to build a robust database of both visual and physical responses to various warnings in order to predict how most drivers will react in certain situations.
The main discovery of Jung Hyup Kim’s research was the relationship between self-terminating visual search (STVS) and situational awareness level.
Honored for his paper, “Improving Computerized Charting in an Intensive Care Unit,” IMSE undergraduate Benjamin Smith participated in a panel and luncheon at the Reynolds Alumni Center.
Jung Hyup Kim, an assistant professor of Industrial and Manufacturing Systems Engineering at the University of Missouri, and his team of students recently traveled to the Mayo Clinic in Rochester, Minn., to study just how brief interruptions affected nurses in their emergency department.
Jung Hyup Kim recently developed a method of better tracking how nurses in a fast-paced intensive care unit (ICU) spend their workday.
Jung Hyup Kim, an assistant professor with MU’s Industrial and Manufacturing Systems Engineering Department, currently is partnering with the Missouri Employers Mutual to test how drivers react when collision avoidance technology (CAT) devices alert them to potential dangers.