Personalized learning in medical education: Designing a user interface for a dynamic haptic robotic trainer for central venous catheterization

Mary Yovanoff, David Pepley, Katelin Mirkin, Jason Moore, David Han, Scarlett Miller

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

While Virtual Reality (VR) has emerged as a viable method for training new medical residents, it has not yet reached all areas of training. One area lacking such development is surgical residency programs where there are large learning curves associated with skill development. In order to address this gap, a Dynamic Haptic Robotic Trainer (DHRT) was developed to help train surgical residents in the placement of ultrasound guided Internal Jugular Central Venous Catheters and to incorporate personalized learning. In order to accomplish this, a 2-part study was conducted to: (1) systematically analyze the feedback given to 18 third year medical students by trained professionals to identify the items necessary for a personalized learning system and (2) develop and experimentally test the usability of the personalized learning interface within the DHRT system. The results can be used to inform the design of VR and personalized learning systems within the medical community.

Original languageEnglish (US)
Title of host publicationProceedings of the Human Factors and Ergonomics Society 2017 International Annual Meeting, HFES 2017
PublisherHuman Factors an Ergonomics Society Inc.
Pages615-619
Number of pages5
ISBN (Electronic)9780945289531
DOIs
StatePublished - Jan 1 2017
EventHuman Factors and Ergonomics Society 2017 International Annual Meeting, HFES 2017 - Austin, United States
Duration: Oct 9 2017Oct 13 2017

Publication series

NameProceedings of the Human Factors and Ergonomics Society
Volume2017-October
ISSN (Print)1071-1813

Other

OtherHuman Factors and Ergonomics Society 2017 International Annual Meeting, HFES 2017
CountryUnited States
CityAustin
Period10/9/1710/13/17

All Science Journal Classification (ASJC) codes

  • Human Factors and Ergonomics

Fingerprint Dive into the research topics of 'Personalized learning in medical education: Designing a user interface for a dynamic haptic robotic trainer for central venous catheterization'. Together they form a unique fingerprint.

  • Cite this

    Yovanoff, M., Pepley, D., Mirkin, K., Moore, J., Han, D., & Miller, S. (2017). Personalized learning in medical education: Designing a user interface for a dynamic haptic robotic trainer for central venous catheterization. In Proceedings of the Human Factors and Ergonomics Society 2017 International Annual Meeting, HFES 2017 (pp. 615-619). (Proceedings of the Human Factors and Ergonomics Society; Vol. 2017-October). Human Factors an Ergonomics Society Inc.. https://doi.org/10.1177/1541931213601639