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Sociotechnical Design & Evaluation

Sociotechnical Design and Evaluation Methods

integrates a set of core methods with psychological content and theory. Students are expected to demonstrate basic knowledge of general cognitive processes, including perception, decision-making, judgment analysis, motivation, and overall information processing. In addition, they are expected to be familiar with general and applied theories in psychology, such as dual-process theories, motivation, as well as applied theories, such as Situation Awareness, Contextual Control Modeling, and Information Foraging theory. Students are trained in research methods including ethnographic observation, cognitive task analysis, decision analysis, and usability analysis. Trainees gain skills in using the tools available in the DBMI usability lab, such as eye trackers, software prototyping tools, Morae, and ATLAS.

suggested Courses

BMI6821 - Human Systems Interactions

MEEN 6120 - Human Factors Engineering

MEEN 6100 - Ergononomics

BMI 6203 - Clinical Database Design

PSY 6120 - Advanced Human Cognition

PSY 6750 - Brain, Cognition and Behavior

CS 654 - Human Computer Interaction




Students have the opportunity to apply for practicums to gain hands-on experience by working a semester with the ReImagineEHR team or a Sociotechnical expertise on an existing project. Must be coordinated with the team/expertise director before registering:

Affiliated Faculty

DBMI: Jorie Butler; Bryan Gibson; Peter Taber; Polina Kukhareva; Jennifer Garvin, VA; Jonathan Nebeker, VA; and Guilherme Del Fiol.

Non-DBMI:  Trafton Drew, Psychology; Frank Drews, Psychology; Alexander Lex, School of Computing.

PhD Application Deadlines

December 1st

Online Application

Biomedical Informatics at the University of Utah