Professor John D. Lee
John's research focuses on the safety and acceptance of complex human-machine systems by considering how technology mediates attention. This research is grounded in conceptual and computational models of human-technology interaction. Applications include trust in technology, tele-health, advanced driver assistance systems, and driver distraction.
Erin Chiou, PhD candidate
Erin's research focuses on understanding how interruptions impact cooperation in human-machine systems. Her broader interests include trust in technology, device design, and the impact of technology in healthcare related work systems.
Patricia Ferrara, PhD candidate
Pat investigates worker interaction with automation in radically changing work systems with particular focus on industrially developing regions. She is creating a model linking technology adoption to organizational change that will guide in learning interventions and she will apply the model to poultry growers in an integrated production system in the north of Mozambique.
Lorelei Grepo, PhD student
Lo’s research focuses on data visualization and interface design of mobile health applications to facilitate more effective information processing, support decision making and improve overall health management among users. She is interested in general applications of cognitive engineering, human computer interaction and statistical analysis techniques to system design.
Ja Young Lee, PhD student
Ja Young is interested in investigating how people interleave multiple tasks, and how interface design can help efficient interaction between the system and the user. She is currently using symbolic structures and algorithmic matching processes to develop a computational model of drivers' strategic task switching behaviors.
Rashmi Payyanadan, PhD candidate
Rashmi studies safe driving behavior of older adults when developing Advanced Driver Assistance Systems to support them. The methodology to assess safety implications of ADAS (Advanced Driver Assistance Systems) have not yet been developed, but these support systems need to be designed such that they do not produce negative side effects for older adults. While not much research has been done to understand user acceptance and effects of ADAS technologies on road user behavior; there are concerns on whether these systems will be used by older drivers and in fact improve road safety. As ADAS technologies continue to advance, her research work is to explore opportunities for older drivers to prolong their mobility by assessing and improving their use of ADAS technologies.
Vindhya Venkatraman, PhD candidate
Vindhya's research centers on facilitating information exchange between human users and systems using human-computer collaboration models. She is interested in developing models of collaborative dialogues across the wide spectrum of driver-vehicle-situation complexities.