Dr. Ann Bisantz | Research

Research Interests

Aspects of my research, conducted in conjunction with co-researchers and numerous UB students, focus on supporting human performance in complex systems, by modeling aspects of human-machine interaction and by analyzing and designing tasks, training interventions, and information aids and displays.  Projects have addressed decision making under uncertainty, developing models of complex systems, analyzing the role of technology in work systems, and conducting field studies of complex, cooperative work environments. 

Funding for the projects has been provided by numerous sources including the National Science Foundation, Agency for Healthcare Research on Quality (AHRQ); Emergency Medicine Foundation; Department of Homeland Security; Charles River Analytics; US Airforce Research Labs (Human Effectiveness Directorate), Sarnoff Corporation/NIMA, Logicon Technical Services, and CUBRC (Calspan-UB Research Corporation).

Current and Past Research Projects

Analyzing shared physician-nurse situation awareness in hospital emergency departments

Studying communication in robotic assisted surgery

Understanding how to successfully deploy sensing technologies to support home based activities in older adults

Using cognitive engineering analysis methods and human-centered design to develop novel information display for emergency medicine; and subsequently testing these displays in a clinical simulation setting

Analyzing the impact of information technology in emergency medicine through a study of manual and electronic information artifacts, and through a laboratory based study of an electronic information system

Testing novel representations of uncertainty and other types of meta-information, including blurred icons, graphical overlays, tactile, and auditory representations

Evaluating aspects of augmentative communication devices with respect to systems level performance measures

Extending and applying Lens Models of judgment behavior to complex, dynamic environments.

Modeling and investigating aspects of human trust and decision-making performance in ambiguous, multi-source, processed information (with the Center for Mult-Source Data Fusion at UB)

Applying methods and models in cognitive engineering to the early design of a large scale naval vessel

Investigating driver use of adverse condition warning systems in automobiles

Modeling characteristics of environmental uncertainty in order to predict judgment behavior

Analyzing the design of computer artifacts in quick-service restaurants with respect to the patterns of communication, organizational pressures, and work practices in the restaurant

Instantiating an Abstraction Hierarchy description of a work domain as a computational model