Novel task analysis approaches for image-guided surgery

This is an ongoing project.

Faculty Researcher: Richard Ellis

Contact Details

Darin Ellis


Informed by theory and methods from human factors engineering, we are developing new and innovative methods to document and represent the tasks and subtasks involved in routine minimally invasive surgery, and use this information to conceptualize, develop and implement advanced human-machine interfaces for tele-robotic surgical platforms.


- engineering, computer science, technology and science majors preferred.
- programming skills a plus

Project Timeline



- observation and documentation of surgical tasks, both from video records and in-person
- library research, including article database searching in the relevant medical and engineering resources
- interviewing. transcription and coding of interview responses

Project-related Tags

Last Updated

March 18, 2014