Sociotechnical Design & Evaluation
Sociotechnical Design & 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. In addition, trainees gain skills in using the tools available in the DBMI usability lab, such as eye trackers, software prototyping tools, Morae, and ATLAS.
Special Interest Groups
Ph.D. students are required to attend at least one SIG (all students are encouraged), which bring people with similar interests together to learn, share, and experiment.
- Decision-making and Behavioral Informatics SIG
Sign up for at least one practicum to gain hands-on experience and work with a team on a project.
Students have the opportunity to apply to work for a semester with the ReImagineEHR team or the Sociotechnical expertise on an existing project. Must be coordinated with the team/expertise director before registering:
Review and discuss literature in this area.
If there is not a current journal club, encourage your SIG to host one.
Feel free to meet individually with faculty and/or to attend their weekly lab meetings.
Bryan Gibson; Jennifer Garvin, VA; Jonathan Nebeker, VA; Charlene Weir, VA; and Guilherme Del Fiol.
Trafton Drew, Psychology; Frank Drews, Psychology; Alexander Lex, School of Computing.