Ann Bisantz

PhD

Ann Bisantz

PhD

Ann Bisantz

PhD

Research Topics

Cognitive engineering; human factors in health care; human decision-making

Contact Information

342 Bell Hall

Buffalo NY, 14260

Phone: (716) 645-4714

bisantz@buffalo.edu

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Research

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 Multi-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